{
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  "sourcesContent": ["import{jsx as e,jsxs as t}from\"react/jsx-runtime\";import{ComponentPresetsConsumer as n,Link as i}from\"framer\";import{motion as o}from\"framer-motion\";import*as a from\"react\";import{Youtube as r}from\"https://framerusercontent.com/modules/NEd4VmDdsxM3StIUbddO/1de6WpgIbCrKkRcPfQcW/YouTube.js\";export const richText=/*#__PURE__*/t(a.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"Effective experimentation enables organisations to optimise their products, services, and processes. But even teams with a solid grasp of A/B testing often stumble down a few blind alleys that undermine their experimentation efforts. These are the three key mistakes we see when people are running experiments.\\xa0\"}),/*#__PURE__*/e(\"h2\",{children:\"Mistake 1: Overcomplicating Experimentation\"}),/*#__PURE__*/e(\"p\",{children:\"Experimentation is about learning how you can improve your customer experience, productivity, or processes but sometimes teams inadvertently make it unnecessarily complicated. The overcomplication begins when businesses do manual setups for every experiment, like configuring feature flags or custom metrics for each test. Teams can also overengineer the experimentation process giving them long delays before they see actionable results. We also see businesses at the beginning of their experimentation journey relying too heavily on a single team to create and run experiments, which creates bottlenecks, as every experiment requires their involvement to process results. When any of these things happen, experimentation is slow, cumbersome, and ultimately less appealing to teams.\"}),/*#__PURE__*/e(\"p\",{children:\"Complexity also discourages adoption. It should be super simple to set up experiments. If running experiments is too complicated, teams will avoid the process at all costs. After all, if it takes forever to set up experiments, teams are going to see delayed feedback, which will make a huge difference in how they can find creative solutions to potential problems.\"}),/*#__PURE__*/e(\"h3\",{children:\"How to Overcome It:\"}),/*#__PURE__*/e(\"p\",{children:\"Simplicity is key. Experimentation should integrate seamlessly into existing workflows, allowing teams to set up and monitor tests with minimal friction.\"}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(i,{href:\"https://absmartly.com/our-story\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Jonas Alves, CEO of ABsmartly\"})}),\", emphasises the importance of making experimentation effortless:\"]}),/*#__PURE__*/e(\"p\",{children:'\"If experimentation is not easy, if it is not part of the culture, people will try to bypass it completely. It should be super simple to set up a test. Developers and designers should be able to go there and start running experiments without any effort.\"'}),/*#__PURE__*/t(\"p\",{children:[\"The best way to simplify experimentation is to democratise the process. Companies should give all teams the freedom to create and run experiments, give everyone access to a centralised repository for experiment ideas, and establish a lightweight scoring system to evaluate potential impact and feasibility. When businesses standardise how they assess and execute changes, teams can focus on running the most valuable tests without becoming bogged down in unnecessary complexity. \",/*#__PURE__*/e(i,{href:\"https://docs.absmartly.com/docs/web-console-docs/templates/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Templates\"})}),\" can also be a helpful tool that allow you to quickly set up experiments with preconfigured settings, which means the quality across all experiments and feature flags remain consistent.\\xa0\"]}),/*#__PURE__*/e(\"h2\",{children:\"Mistake 2: Failing to Build a Strong Experimentation Culture\"}),/*#__PURE__*/e(\"p\",{children:\"Leadership needs to support experimentation efforts from the top down, but you also need people to embrace testing from the bottom up\u2014coming up with ideas on how to make experiments better. A business\u2019 experimentation efforts are only ever as effective as the culture supporting them.\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"A poor experimentation culture tends to be because there isn\u2019t genuine buy-in at leadership level\u2014and perhaps testing is viewed as a box-ticking exercise rather than a strategic initiative. This mindset then trickles down into teams, leading to siloed efforts where teams don\u2019t share knowledge and their efforts are inadvertently duplicated. Over time, a lack of good quality training for new hires compounds the problem, which further dilutes an organisation\u2019s experimentation best practices.\"}),/*#__PURE__*/e(\"p\",{children:\"A fragmented culture leads to an inconsistent approach. Some teams embrace experimentation, while others avoid it. Justifying the resources and focus needed to sustain effective experimentation becomes difficult without leadership buy-in.\"}),/*#__PURE__*/e(\"h3\",{children:\"How to Overcome It:\"}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(i,{href:\"https://www.firstprinciples.ventures/ep019-jonas-alves-building-an-experimentation-platform\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Jonas emphasises\"})}),\" the importance of constant training and knowledge sharing, based on his experience scaling Booking.com\u2019s experimentation culture:\"]}),/*#__PURE__*/e(\"p\",{children:'\"At some point, I was training people every week... because every week, we were hiring new developers and designers. That was the biggest effort\u2014to keep the culture intact and help it grow and flourish across the organisation.\"'}),/*#__PURE__*/e(\"p\",{children:\"To address this, organisations can:\"}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Train Continuously\"}),\": Conduct regular team training sessions to ensure everyone understands the why and how of experimentation.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Centralise Knowledge\"}),\": Use dashboards and documentation to share learning across the organisation. ABsmartly\u2019s experimentation program dashboard is an excellent example because it enables teams to see how experiments impact business metrics over time.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Encourage Collaboration\"}),\": Create a culture where teams share their results, hypotheses, and experiment ideas. This encourages creative thinking and innovation and builds organisational confidence in experimentation.\"]})})]}),/*#__PURE__*/e(\"h2\",{children:\"Mistake 3: Fear of Experiment Interactions\"}),/*#__PURE__*/e(\"p\",{children:\"One of the biggest misconceptions about experimentation is the fear of interactions between simultaneous tests. Look at experimentation as the default approach to improve anything in the business because it allows them to make data driven decisions and deliver better results across the board. Although businesses are keen to be able to make faster decisions by trying out ideas and seeing which ideas work they often fixate on whether their experiments will interact. Many teams avoid running parallel tests because they worry that one test might invalidate the results of another. This hesitancy usually comes from a misunderstanding about how interactions occur and the assumption that interactions are more common than they are.\\xa0\"}),/*#__PURE__*/e(\"h3\",{children:\"How to Overcome It:\"}),/*#__PURE__*/e(\"p\",{children:\"Here\u2019s what teams should keep in mind:\"}),/*#__PURE__*/t(\"ol\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Interactions Are Rare\"}),\": Most tests do not interfere with each other. In Jonas\u2019 experience at Booking.com, even when running thousands of simultaneous experiments, only a handful of interactions were detected.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Intentional Interactions Can Be Valuable\"}),\": When designed deliberately, interactions can uncover synergies between changes.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Monitor But Don\u2019t Panic\"}),\": Use tools with \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/benefits\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"built-in monitoring for interactions\"})}),\", like ABsmartly\u2019s planned combined report feature, which allows teams to analyse multiple tests as if they were part of a multivariate test.\"]})})]}),/*#__PURE__*/e(\"p\",{children:\"Jonas advises teams to take a pragmatic approach:\"}),/*#__PURE__*/e(\"p\",{children:'\"People are usually so afraid of running many experiments simultaneously, but interactions almost never happen. It\u2019s not a problem to run dozens\u2014even hundreds\u2014of experiments at the same time, as long as you avoid testing on the same element.\"'}),/*#__PURE__*/e(\"h2\",{children:\"Scaling Your Experiments Effectively\"}),/*#__PURE__*/e(\"p\",{children:\"You should use experimentation holistically across an entire organisation. Most organisations use experimentation in marketing and product, but you can also run experiments in operations, in customer success, and in your infrastructure. Effective experimentation is all about keeping things super simple, keeping collaboration flourishing. By streamlining processes and democratising experimentation, teams can spend less time worrying about the mechanics and more time on what really matters\u2014learning what works and why.\"}),/*#__PURE__*/t(\"p\",{children:[\"Ready to unlock growth with experimentation more simply and effectively? Visit ABsmartly for a demo of how our platform can \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/elite-experimenter\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"transform the way you test\"})}),\" and learn.\"]})]});export const richText1=/*#__PURE__*/t(a.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"Overview\"}),/*#__PURE__*/e(\"p\",{children:\"Serko Ltd., the B2B arm of Booking.com, recognised that in a competitive market, traditional approaches to product development and decision-making were no longer enough to meet their customers' complex and shifting needs. The company understood that to stay ahead, they needed to embrace a culture of experimentation that would allow them to quickly test, learn, and adapt.\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"By systematically validating assumptions and uncovering unknown unknowns, Serko aimed to reduce experimentation risks and ensure that they were responding to customer demands. This culture of experimentation was seen as essential not only for driving business growth but also for fostering a more agile, data-driven organisation that could respond swiftly to changes in the market.\"}),/*#__PURE__*/e(\"h2\",{children:\"Challenge\"}),/*#__PURE__*/e(\"h3\",{children:\"The Need for a Structured Experimentation Approach\"}),/*#__PURE__*/e(\"p\",{children:\"Before partnering with ABsmartly, Serko faced significant challenges in how they approached innovation and product development. Serko's leadership recognised that customers often do not know what they want until they are shown something tangible, making experimentation a critical component of their strategy. The company had considered using various tools, including developing their own, but these options either lacked the flexibility or required a level of scientific rigour that made it difficult for cross-functional teams to engage effectively.\"}),/*#__PURE__*/e(\"p\",{children:\"Serko were keen to rapidly scale their experimentation efforts and improve their ability to make data-driven decisions. They wanted to validate risky assumptions early in the product development process to save time and money and quickly adapt their strategies based on real-world customer feedback. Implementing a robust experimentation framework reduced the time it took to launch and iterate on new features, ultimately enhancing customer satisfaction and driving immediate business outcomes.\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"In the long term Serko aimed to deeply embed a culture of experimentation across the entire organisation. Their vision is to make experimentation a core component of their decision-making process, enabling continuous innovation and reducing the risks associated with product development. By fostering this culture, Serko wanted to empower all their teams\u2014across product, engineering, and marketing\u2014to engage in experimentation, and ensure that insights gained were shared and leveraged throughout the company. The ultimate experimentation objective is to build a more agile, resilient organisation that can confidently anticipate and respond to market changes.\"}),/*#__PURE__*/e(\"h2\",{children:\"Solution\"}),/*#__PURE__*/e(\"h3\",{children:\"Implementing a Cross-Functional Experimentation Platform\"}),/*#__PURE__*/e(\"p\",{children:\"ABsmartly provided the tools and support necessary to democratise experimentation across Serko\u2019s teams, from product managers and engineers to designers and marketers. The platform's intuitive interface and advanced features allowed Serko to implement experiments quickly without the technical barriers that had previously slowed them down. ABsmartly's proactive approach\u2014where the team often anticipated Serko\u2019s needs before they were even articulated\u2014was a major factor in their decision.\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"The coaching ABsmartly provided was a huge value-add for Serko as it allowed team members to quickly understand how to use the tool as effectively as possible. ABsmartly was implemented as a cross-functional tool at Serko, empowering various teams to participate in and benefit from experimentation.\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"One of the key successes in this collaboration was ABsmartly's ability to simplify complex experimentation processes, making it easier for non-technical team members to engage with the results and insights. While Serko initially encountered challenges in balancing scientific rigour with practical application, ABsmartly\u2019s support helped streamline these processes, enabling the company to maintain the necessary scientific standards without overwhelming the teams.\"}),/*#__PURE__*/e(\"h2\",{children:\"Benefits\"}),/*#__PURE__*/e(\"h3\",{children:\"Rapid Scaling of Experimentation and Significant Business Impact\"}),/*#__PURE__*/e(\"p\",{children:\"Within the first year of partnering with ABsmartly, Serko evolved from running almost no experiments to launching over 150 unique experiments\u2014ranging from simple feature tests to complex initiatives\u2014within just 12 months. This shift has led to millions of dollars in incremental revenue and has helped Serko avoid significant potential losses, demonstrating the power and necessity of an experimentation-driven approach.\"}),/*#__PURE__*/e(\"p\",{children:'One of the standout results was the ability to identify and validate risky assumptions quickly, allowing Serko to pivot or double down on strategies with confidence. The platform\\'s ability to handle a variety of test types enabled Serko to test new features, validate assumptions, and even run \"fake door\" tests to gauge customer interest before committing to full launches. ABsmartly also provided Serko with key support in understanding when to use advanced statistical techniques like GST (Group Sequential Testing) instead of FH (Fixed Horizon) for timely results and accelerated learning.'}),/*#__PURE__*/e(\"p\",{children:\"The cultural shift at Serko has been equally significant. Experimentation has become a central part of the company\u2019s decision-making process; this visibility and widespread use of experimentation has increased the visibility of experimentation outcomes and reinforced the importance of data-driven decisions at all levels of the company.\"}),/*#__PURE__*/e(\"h2\",{children:\"Conclusion\"}),/*#__PURE__*/e(\"p\",{children:'\u201CExperimentation helps us prioritise what we want to focus on next and uncover the unknown unknowns\u201D (Stuart McLoughlin). Experimentation has become essential to Serko\u2019s product development strategy, helping them optimise existing features and uncover future opportunities. Stuart McLoughlin, Lead Product Manager - Retention & Growth, notes, \"Using experimentation helps us actually discover that future,\". By continuously testing and learning, Serko has seen significant improvement; their data-driven approach has \"de-risked\" product development, allowing the team to validate assumptions before fully committing resources.\\xa0'}),/*#__PURE__*/t(\"p\",{children:[\"Ready to take the risk out of experimentation? Learn how ABsmartly can help you drive innovation and make data-backed decisions with confidence. For more information, visit our website here: \",/*#__PURE__*/e(i,{href:\"http://www.absmartly.com/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"www.absmartly.com\"})})]})]});export const richText2=/*#__PURE__*/t(a.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"Favourite Resources, Articles and Books on Experimentation, Decision Making and Product-led Growth from the Experts\"}),/*#__PURE__*/t(\"p\",{children:[\"Hi, I\u2019m \",/*#__PURE__*/e(i,{href:\"https://www.linkedin.com/in/christopheperrin22/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Chris\"})}),\", Head of Product at ABsmartly. Throughout \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/blog/how-christophe-perrin-is-revolutionising-experimentation-at-absmartly\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"my career,\"})}),\" I\u2019ve found books to be an invaluable resource for mastering experimentation, honing a product-focused mindset, and understanding the fundamentals of statistics. Whether you're just getting started or you're a seasoned pro, I believe there\u2019s always something new to learn.\"]}),/*#__PURE__*/e(\"p\",{children:\"And because most of us are in a dark, dreary winter, this is the \u201Cthinking of summer\u201D reading list\u2014because reading is an all-season endeavour, right? Think of it as a curated Goodreads shelf designed specifically for experimenters, A/B testing enthusiasts, designers and generally curious folks. So here goes:\"}),/*#__PURE__*/e(\"h3\",{children:/*#__PURE__*/e(\"strong\",{children:\"Must-Read Books for Experimenters, Designers, Product peeps\"})}),/*#__PURE__*/e(\"p\",{children:\"Here are some of my top picks, in no particular order:\"}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(i,{href:\"https://www.everand.com/book/711745947/Transformed-Moving-to-the-Product-Operating-Model?utm_medium=cpc&utm_source=google_search&utm_campaign=Everand_Google_DSA_NB_Desktop_RoW&utm_adgroup=Book&utm_term=&utm_matchtype=&utm_device=c&utm_network=s&gad_source=5&gclid=EAIaIQobChMI0PODwYnXiQMVTJiDBx05dgDSEAAYASAAEgKwhfD_BwE\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Transformed\"})})}),\" by Marty Cagan. It gives a clear, practical framework for companies to successfully transition into truly empowered product organisations, with lots of real-world examples and deep industry insights.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"14px\",\"--framer-text-color\":\"rgb(67, 67, 67)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(i,{href:\"https://www.amazon.com/Product-Operations-successful-companies-products/dp/B0CK3HL4WF\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Product Operations\"})})}),\" by Melissa Perri. This book is often considered essential reading for experimenters as it bridges the gap between product, data, and execution\u2014ensuring experiments drive real impact at scale Side note: \",/*#__PURE__*/e(i,{href:\"https://www.youtube.com/watch?v=wbi9chsAHp4\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Melissa also has an interview with Lenny Rachitsky\"})}),\" and Marty Cagan has a \",/*#__PURE__*/e(i,{href:\"https://www.youtube.com/watch?v=9N4ZgNaWvI0\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"great interview with Lenny\"})}),\" as well.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(i,{href:\"https://hbsp.harvard.edu/product/7508-PDF-ENG\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Experimentation Matters: Unlocking the Potential of New Technologies for Innovation\"})})}),\" by \",/*#__PURE__*/e(i,{href:\"https://hbsp.harvard.edu/search?action=&author=Stefan%20Thomke\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Stefan Thomke\"})}),\". It explores how systematic experimentation drives innovation, for actionable insights to test, learn, and iterate effectively.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(i,{href:\"https://erindoesthings.com/design-for-impact/?v=796834e7a283\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Design for Impact\"})})}),\" by Erin Weigel. Erin brings her happy demeanour to this book on how to use design and experimentation to create meaningful, customer-centric product improvements that drive business success.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(i,{href:\"https://www.abtestingstats.com/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Statistical Methods in Online A/B Testing\"})})}),\" by Georgi Georgiev. As Kelly states below, this is a bible of sorts, it summarises the fundamentals of an otherwise complicated and intimidating topic, but in an approachable way.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(i,{href:\"https://www.amazon.com/Trustworthy-Online-Controlled-Experiments-Practical/dp/1108724264/ref=sr_1_1?crid=1HHF5IXY1RNOJ&dib=eyJ2IjoiMSJ9.qKYK5xjYivS7osa1uOcOFOa8nEUxgj57YMwe9CCiCRbGjHj071QN20LucGBJIEps.aq8_VSAzgAnxSyiIP7F9LRJ6zjh4NZjnX_5pL3H1lBE&dib_tag=se&keywords=Ronny+Kohavi&qid=1739286692&sprefix=ronny+kohavi%2Caps%2C187&sr=8-1\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Trustworthy Online Controlled Experiments\"})})}),\" by Ronny Kohavi. One of the most known and fundamental books on A/B testing is this one by Ronny. It provides rigorous methodologies, real-world case studies, and best practices for running reliable online experiments at scale.\"]})})]}),/*#__PURE__*/e(\"h3\",{children:/*#__PURE__*/e(\"strong\",{children:\"Expert Recommendations for everyone in the field\\xa0\"})}),/*#__PURE__*/e(\"p\",{children:\"We also reached out to our advisors, partners, and industry gurus to get their top book recommendations (with one rule\u2014they couldn\u2019t recommend their own work!). This list has a mix for everyone, from Systems Thinking to Data Science, simple test design techniques to ultra complex statistics deep dive. Here\u2019s what they had to say:\"}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/t(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:[/*#__PURE__*/t(\"p\",{children:[\"Alun Lucas, Managing Director at Zuko Analytics recommends: \",/*#__PURE__*/e(i,{href:\"https://www.lukew.com/resources/web_form_design.asp\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Web Form Design\"})})}),\" by Luke Wroblewski.\"]}),/*#__PURE__*/e(\"ul\",{children:/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/e(\"p\",{children:\"Why they like it: If you want to break the rules you need to learn them first. Forms are a critical part of any user journey so should be an important part of any testing programme. This groundbreaking book outlined the basic principles of form design so you can easily get to a competent form conversion baseline. From there you can develop your test hypotheses based on your own unique audience, product and market to optimize further.\"})})}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/t(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:[/*#__PURE__*/t(\"p\",{children:[\"Andr\\xe9 Vieira, Founder at Looptimize recommends: \",/*#__PURE__*/e(i,{href:\"https://www.betterworldbooks.com/product/detail/science-and-human-behavior-9780029290408\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Science and Human Behavio\"})})}),/*#__PURE__*/e(\"em\",{children:\"r\"}),\" by B. F. Skinner.\\xa0\"]}),/*#__PURE__*/e(\"ul\",{children:/*#__PURE__*/t(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:[/*#__PURE__*/e(\"p\",{children:\"Why they like it: Reading Science and Human Behavior by B.F. Skinner equips you with foundational behavioural psychology insights to understand, predict, and influence customer actions. It goes deep into the roots of why people behave the way they do, providing you with a scientific framework for analyzing behavior, which you can leverage to design personalised experiences and optimize customer journeys effectively.\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]})})]}),/*#__PURE__*/t(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:[/*#__PURE__*/t(\"p\",{children:[\"Ben Labay, CEO at Speero recommends: \",/*#__PURE__*/e(i,{href:\"https://www.everand.com/book/711745947/Transformed-Moving-to-the-Product-Operating-Model?utm_medium=cpc&utm_source=google_search&utm_campaign=Everand_Google_DSA_NB_Desktop_RoW&utm_adgroup=Book&utm_term=&utm_matchtype=&utm_device=c&utm_network=s&gad_source=5&gclid=EAIaIQobChMI0PODwYnXiQMVTJiDBx05dgDSEAAYASAAEgKwhfD_BwE\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Transformed\"})})}),\" by Marty Cagan and \",/*#__PURE__*/e(i,{href:\"https://www.betterworldbooks.com/product/detail/the-song-of-significance-a-new-manifesto-for-teams-9780593715543\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Song of Significance\"})}),\" by Seth Godin.\"]}),/*#__PURE__*/e(\"ul\",{children:/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/e(\"p\",{children:\"Why they like it: These two books are the yin and yang of modern work. They explain the HOW and WHY (respectively) for what work should (in my opinion of course) be in today's culture and market.\\xa0\"})})})]})]}),/*#__PURE__*/e(\"img\",{alt:\"Best Books on Experimentation and Decision-Making \u2013 A collection of top books on A/B testing, UX design, and data science.\",className:\"framer-image\",height:\"174\",src:\"https://framerusercontent.com/images/6ih3N0E7SmKINNAoZRyvpJHbsA.png\",srcSet:\"https://framerusercontent.com/images/6ih3N0E7SmKINNAoZRyvpJHbsA.png?scale-down-to=512 512w,https://framerusercontent.com/images/6ih3N0E7SmKINNAoZRyvpJHbsA.png 695w\",style:{aspectRatio:\"695 / 348\"},width:\"347\"}),/*#__PURE__*/e(\"ul\",{children:/*#__PURE__*/t(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:[/*#__PURE__*/t(\"p\",{children:[\"Chris Gibbins, Chief Experience Officer at Creative CX, recommends: \",/*#__PURE__*/e(i,{href:\"https://www.betterworldbooks.com/product/detail/product-is-hard-svpg-box-set-includes-inspired-empowered-loved-and-transformed-9781394326266\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Inspired, Empowered and Transformed\"})})}),/*#__PURE__*/e(\"em\",{children:\" \"}),\"in the \u201CProduct is Hard\u201D box set by Marty Cagan, Christian Idiodi, Lea Hickman, Chris Jones, Martina Lauchengco (known as the SVPG Silicon Valley Product Group).\"]}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/e(\"p\",{children:\"Why they like it: Inspired and Empowered in particular were extremely useful a few years back when I needed to learn a lot more about product, as our target audience for our consultancy shifted away from marketing toward product teams.\\xa0\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(i,{href:\"https://www.awesomebooks.com/book/9781839526794/the-person-in-personalisation\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"The Person in Personalisation: The Story Of How Marketing's Most Treasured Possession Became Anything but Personal\"})})}),\" by David Mannheim because of the amount of new research he put into the subject. It\u2019s well-written and an engaging story telling format of how to take things back to basics.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/e(\"p\",{children:\"Many of the already mentioned books e.g. Erin's Design for Impact which was excellent, and provided me with some very useful ideas and inspiration for explaining experimentation concepts more clearly.\"})})]})]})}),/*#__PURE__*/e(\"img\",{alt:\"Product-Led Growth Reading Recommendations \u2013 Essential books for mastering product experimentation and innovation.\",className:\"framer-image\",height:\"200\",src:\"https://framerusercontent.com/images/TvBqKfnACGyLxmlKYKG5XTqgDRw.png\",style:{aspectRatio:\"313 / 400\"},width:\"156\"}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/t(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"14px\",\"--framer-text-color\":\"rgb(67, 67, 67)\",\"--framer-text-decoration\":\"none\"},children:[/*#__PURE__*/t(\"p\",{children:[\"Craig Sullivan, Experimentation Consultant recommends: \",/*#__PURE__*/e(i,{href:\"https://www.betterworldbooks.com/product/detail/connect-building-exceptional-relationships-with-family-friends-and-colleagues-9780593237090\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Connect : Building Exceptional Relationships with Family, Friends, and Colleagues\"})}),\" by David Bradford, Carole Robin. \"]}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"14px\",\"--framer-text-color\":\"rgb(67, 67, 67)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/e(\"p\",{children:\"Why they recommend it: Carole Robin did a great talk I saw this year and her advice in her book, \\\"Connect\\\", is really great and accessible.\\xa0 It's all about how you can flip many of life's problems into solutions or replace assumptions with connections.\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"14px\",\"--framer-text-color\":\"rgb(67, 67, 67)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[\"Ruben de Boer also did a great \",/*#__PURE__*/e(i,{href:\"https://www.linkedin.com/posts/rgdeboer_experimentation-conversionrateoptimization-activity-7292845632552128514-A1nK\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"LinkedIn post\"})}),' about \\'leaning in\\' to stakeholders and colleagues.\\xa0 He touched on how important it is to connect and use conversations to change relationships.\\xa0 To figure out not \"how you get people to do what you want\" but find out \"why they can\\'t or won\\'t\" and \"what you can help with\" instead.\\xa0\\xa0']})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"14px\",\"--framer-text-color\":\"rgb(67, 67, 67)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[\"Craig also recommends Machiavelli's \",/*#__PURE__*/e(i,{href:\"https://www.betterworldbooks.com/product/detail/the-prince-9780140449150\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"The Prince\"})}),\" as essential reading for surviving at any company with heavy office politics\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"14px\",\"--framer-text-color\":\"rgb(67, 67, 67)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[\"Lastly Craig recommends \",/*#__PURE__*/e(i,{href:\"https://www.betterworldbooks.com/product/detail/the-no-asshole-rule-building-a-civilized-workplace-and-surviving-one-that-isn-t-9780446698207\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"The No A**hole Rule\"})})}),/*#__PURE__*/e(\"em\",{children:\" \"}),\"by \",/*#__PURE__*/e(i,{href:\"https://www.betterworldbooks.com/author/robert-i-sutton/5079270\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Robert I. Sutton\"})}),\".\\xa0 Craig says it\u2019s a practical manual for dealing with people who ruin your workplace.\"]})})]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]}),/*#__PURE__*/t(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"14px\",\"--framer-text-color\":\"rgb(67, 67, 67)\",\"--framer-text-decoration\":\"none\"},children:[/*#__PURE__*/t(\"p\",{children:[\"Erin Weigel, Senior Group Product Design Manager at Deliveroo (and ABsmartly advisor) recommends: \\xa0\",/*#__PURE__*/e(i,{href:\"https://www.betterworldbooks.com/product/detail/thinking-in-systems-international-bestseller-9781603580557\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Thinking in Systems\"})})}),/*#__PURE__*/e(\"em\",{children:\" \"}),\"by Donella Meadows and \",/*#__PURE__*/e(i,{href:\"https://www.betterworldbooks.com/product/detail/don-t-make-me-think-revisited-a-common-sense-approach-to-web-usability-9780321965516\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Don\u2019t Make Me Think\"})})}),\" by Steve Krug.\\xa0\"]}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"14px\",\"--framer-text-color\":\"rgb(67, 67, 67)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/e(\"p\",{children:\"Why they like it: I like Thinking in Systems because it opened my eyes to a new way of thinking about the world and our place within it. It gave me the tools and language to communicate things I observe around me. As a designer and experimenter, it\u2019s all about understanding the impact you have on people and the world around you. So, Meadows\u2019 poetic way of making me conscious of a whole new way of thinking was profound to me.\"})}),/*#__PURE__*/t(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:[/*#__PURE__*/e(\"p\",{children:\"Don\u2019t Make Me Think is a holy book for the craft of design. Not only is it chock full of very useful information, but Krug\u2019s writing style is hilarious and engaging. I\u2019ve based many (winning) experiment ideas off of the stuff I learned in Krug\u2019s book.\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]})]})]}),/*#__PURE__*/t(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:[/*#__PURE__*/t(\"p\",{children:[\"Georgi Georgiev, owner at WebFocus LLC recommends: \",/*#__PURE__*/e(i,{href:\"https://www.betterworldbooks.com/product/detail/statistical-inference-as-severe-testing-how-to-get-beyond-the-statistics-wars-9781107664647\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Statistical Inference as Severe Testing\"})})}),\" by \",/*#__PURE__*/e(i,{href:\"http://errorstatistics.com/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Deborah G. Mayo\"})}),\".\"]}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/e(\"p\",{children:\"Why they like it: I appreciate that it provides a solid philosophical foundation for the interpretation of A/B test outcomes, as well as bringing a much needed clarity on a variety of poignant topics in statistical inference.\\xa0\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[\"I also recommend \",/*#__PURE__*/e(i,{href:\"https://www.vitalsource.com/products/probability-theory-and-statistical-inference-aris-spanos-v9781316952733?srsltid=AfmBOopG1BfWFP2-qVqRfUPFGgH-av96yCaVpz4CmO0H3x8KavHSXfZV\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Probability Theory and Statistical Inference\"})})}),\" (2nd edition) by Aris Spanos. I recommend it for its much more technical, but equally philosophically grounded take on the foundational aspects of probability theory and statistics.\"]})})]})]})]}),/*#__PURE__*/e(\"img\",{alt:\"Expert-Recommended A/B Testing Books \u2013 Top book suggestions from leading industry experts and practitioners.\",className:\"framer-image\",height:\"178\",src:\"https://framerusercontent.com/images/fQ8a1Ff0vmjGSYbMY49xZAowo.png\",srcSet:\"https://framerusercontent.com/images/fQ8a1Ff0vmjGSYbMY49xZAowo.png?scale-down-to=512 512w,https://framerusercontent.com/images/fQ8a1Ff0vmjGSYbMY49xZAowo.png 752w\",style:{aspectRatio:\"752 / 357\"},width:\"376\"}),/*#__PURE__*/e(\"ul\",{children:/*#__PURE__*/t(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:[/*#__PURE__*/t(\"p\",{children:[\"Kelly Wortham, from the Test & Learn Community recommends: \",/*#__PURE__*/e(i,{href:\"https://www.analyticstrw.com/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Analytics The Right Way\"})})}),\" by Tim Wilson and Dr. Joe Sutherland.\\xa0\"]}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/e(\"p\",{children:\"Why they like it: It\u2019s incredibly easy to read, full of excellent recommendations, and has laugh-out-loud footnotes that will keep you turning the pages. As a bonus, they ask you to measure each chapter - practicing what they preach.\\xa0\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[\"I also cannot recommend enough: \",/*#__PURE__*/e(i,{href:\"https://erindoesthings.com/design-for-impact/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Design for Impact\"})})}),\" by Erin Weigel. She makes experimentation make sense - breaking it down and then building it back up so that things that used to be complex to explain or understand become a piece of cake. Bonus: it\u2019s full of tools and templates.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[\"Beyond these two - my two experimentation Bibles: \",/*#__PURE__*/e(i,{href:\"https://blog.analytics-toolkit.com/2019/statistical-methods-in-online-a-b-testing-the-book/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Statistical Methods in Online A/B Testing\"})})}),/*#__PURE__*/e(\"em\",{children:\" \"}),\"by Georgi Georgiev and \",/*#__PURE__*/e(i,{href:\"https://wwnorton.com/books/9780393979954\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Field Experiments: Design, Analysis, and Interpretation\"})})}),/*#__PURE__*/e(\"em\",{children:\" \"}),\"by Gerber & Green. I love these books because they are my go-to when I need deep statistical knowledge for teaching. One online - the other offline.\"]})})]})]})}),/*#__PURE__*/e(\"ul\",{children:/*#__PURE__*/t(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:[/*#__PURE__*/t(\"p\",{children:[\"Lotte Cornellissen, Managing Director at Online Dialogue recommends: \",/*#__PURE__*/e(i,{href:\"https://www.betterworldbooks.com/product/detail/the-progress-principle-using-small-wins-to-ignite-joy-engagement-and-creativity-at-work-9781422198575\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"The Progress Principle\"})})}),\" by Teresa Amabile and Steven Kramer.\"]}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/e(\"p\",{children:\"Why they recommend it: This book is about how seemingly mundane workday events can make or break employees' inner work lives. But it's forward momentum in meaningful work--progress--that creates the best inner work lives. Although this may seem obvious, we are not always aware of the importance of the feeling of making progress. In fact, in the same study, managers were asked to rank five factors that motivate people, such as rewards and recognition, in order of importance. Only 5% of the leaders placed \u2018making progress\u2019 at the top of the list. However, the diaries revealed that it is actually the most important source of motivation.\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[\"Lotte also recommends \",/*#__PURE__*/e(i,{href:\"https://www.youtube.com/playlist?list=PLv6BrJ4P1FAvXMDyp2B7jgS85FQaCbNlV\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Carol Dweck's talks\"})}),\" (not a book per se). They are about a fixed and a growth mindset which is important in experimentation as it\u2019s all about learning and really having a growth mindset.\\xa0\"]})})]})]})}),/*#__PURE__*/e(\"ul\",{children:/*#__PURE__*/t(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:[/*#__PURE__*/t(\"p\",{children:[\"Lukas Vermeer, Director of Experimentation at Vista recommends:\",/*#__PURE__*/e(\"em\",{children:\" \"}),/*#__PURE__*/e(i,{href:\"https://www.betterworldbooks.com/product/detail/the-structure-of-scientific-revolutions-50th-anniversary-edition-9780226458120\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"The Structure of Scientific Revolutions\"})})}),\" by Thomas S. Kuhn.\\xa0\"]}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/e(\"p\",{children:\"Why they like it: It introduces the idea of scientific progress as an evolutionary process; a revolutionary idea! Introduced the idea of \u201Cparadigm shifts\u201D. Not an easy read but changed my thinking about the nature of scientific progress.\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(i,{href:\"https://www.betterworldbooks.com/product/detail/switch-how-to-change-things-when-change-is-hard-9781847940322\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Switch: How to Change Things When Change Is Hard\"})})}),/*#__PURE__*/e(\"em\",{children:\" \"}),\"by Chip Heath and Dan.\\xa0 Heath. Why they like it: Improving experimentation in an organisation involves a lot of change management. Switch is an excellent blend of anecdotal examples, scientific explanations, and practical guidance; presented in an overarching framework that makes all of it easy to grasp. Hat tip to Ruben de Boer for recommending this book to me.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(i,{href:\"https://www.betterworldbooks.com/product/detail/communities-of-practice-learning-meaning-and-identity-9780521663632\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"em\",{children:\"Communities of Practice: Learning, Meaning, and Identity\"})})}),\" by Etienne Wenger. Why they like it: Although it\u2019s not an easy read, it's worth the effort if you\u2019re interested in learning about learning communities. Take your time to process it and negotiate your own meaning.\"]})})]})]})}),/*#__PURE__*/e(\"h3\",{children:/*#__PURE__*/e(\"strong\",{children:\"Bonus chapter!\"})}),/*#__PURE__*/e(\"p\",{children:\"We found a few curated lists\"}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[\"Alex Birkett put a fantastic top 10 list together \",/*#__PURE__*/e(i,{href:\"https://www.alexbirkett.com/ab-testing-books/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"here\"})}),\" - check it out.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[\"Pawel Huryn put some books together on Product Discovery in a Linkedin post \",/*#__PURE__*/e(i,{href:\"https://www.linkedin.com/posts/pawel-huryn_top-10-books-on-product-discovery-my-tips-activity-7194018967122804738-Hm09/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"here\"})})]})})]}),/*#__PURE__*/e(\"h3\",{children:/*#__PURE__*/e(\"strong\",{children:\"What Are Your Go-To Reads?\"})}),/*#__PURE__*/e(\"p\",{children:\"I\u2019d love to hear what books, articles, or resources have shaped your thinking on experimentation and A/B testing. Drop your recommendations in the comments or share them with us on LinkedIn!\"}),/*#__PURE__*/e(\"p\",{children:\"Happy reading, and happy experimenting!\"})]});export const richText3=/*#__PURE__*/t(a.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"Online forms are often overlooked when it comes to experimentation and optimization. This is a mistake. Forms are where the customer makes the final decision to commit; they hand over their precious personal or financial details. They\u2019ve signed up for your product demo and are most likely in buyer mode. If you\u2019ve overlooked something that is causing them to abandon it could be very costly. This makes forms a high value area for A/B testing and experimentation.\"}),/*#__PURE__*/t(\"p\",{children:[\"To truly understand what\u2019s happening, you\u2019ll need to delve deeper with form analytics software. Especially if you have a relatively \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/blog/optimising-a-b-testing-for-low-traffic-sites-or-apps\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"low traffic site or app\"})}),\". Tools like \",/*#__PURE__*/e(i,{href:\"https://www.zuko.io/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Zuko Analytics\"})}),\" provide granular, field-level data, helping you pinpoint exactly where users are encountering friction in your form. Zuko can easily and seamlessly integrate with tools like ABsmartly as well, to add an extra level of insights to experimentation.\\xa0\"]}),/*#__PURE__*/e(\"h2\",{children:\"Where to Begin Testing\"}),/*#__PURE__*/e(\"p\",{children:\"If you already use form analytics, start by identifying high-impact areas that are causing the most drop-offs. Testing solutions for these issues should be your first priority. However, if you don\u2019t have form analytics data we\u2019ve provided some inspiration below based on hypotheses & tests that have found success in the past:\"}),/*#__PURE__*/e(\"h3\",{children:\"1. Inline Validation\"}),/*#__PURE__*/e(\"p\",{children:\"Hypothesis: Adding inline validation will reduce errors and increase conversions.\"}),/*#__PURE__*/t(\"p\",{children:[\"Inline validation gives users immediate feedback as they complete the form, helping them catch and correct errors in real time. Studies have shown this can result in significant improvements, with some reporting a \",/*#__PURE__*/e(i,{href:\"https://alistapart.com/article/inline-validation-in-web-forms/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"22% increase in conversions\"})}),\". If your form currently only validates inputs after submission, testing inline validation is a must.\"]}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"219\",src:\"https://framerusercontent.com/images/W0ZBdrHQzwubjsTbxG25zpD3M.gif\",srcSet:\"https://framerusercontent.com/images/W0ZBdrHQzwubjsTbxG25zpD3M.gif?scale-down-to=512 512w,https://framerusercontent.com/images/W0ZBdrHQzwubjsTbxG25zpD3M.gif 600w\",style:{aspectRatio:\"600 / 439\"},width:\"300\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"An example of inline validation - triggering error messages immediately after input\"})}),/*#__PURE__*/e(\"h3\",{children:\"2. Instructional Microcopy\"}),/*#__PURE__*/e(\"p\",{children:\"Hypothesis: Adding instructional microcopy will reduce mistakes and abandonment.\"}),/*#__PURE__*/e(\"p\",{children:\"Preventing errors is just as important as fixing them. Test the effectiveness of short, helpful instructions next to fields, ensuring users understand exactly what information is required. Experiment with different wording to see what minimizes field abandonment.\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"78\",src:\"https://framerusercontent.com/images/MPiGTMW38ChA6KpcHqvdnQ09ZY.png\",srcSet:\"https://framerusercontent.com/images/MPiGTMW38ChA6KpcHqvdnQ09ZY.png?scale-down-to=512 512w,https://framerusercontent.com/images/MPiGTMW38ChA6KpcHqvdnQ09ZY.png 571w\",style:{aspectRatio:\"571 / 156\"},width:\"285\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"A simple example of using copy to clarify exactly what is needed from the user\"})}),/*#__PURE__*/e(\"h3\",{children:\"3. Clearer Error Messages\"}),/*#__PURE__*/e(\"p\",{children:\"Hypothesis: Rewriting error messages to be more helpful will reduce drop-offs.\"}),/*#__PURE__*/t(\"p\",{children:[\"When form analytics show high abandonment rates on a specific field, unclear or overly technical error messages are often to blame. Testing \",/*#__PURE__*/e(i,{href:\"https://www.zuko.io/blog/a-guide-to-error-messages-in-online-forms\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"error message\"})}),\" copy\u2014making it clearer, friendlier, or more detailed\u2014can guide users to resolve issues and complete the form.\"]}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"232\",src:\"https://framerusercontent.com/images/WMwSlsRdlCZdYtzjcHlUSJ9r4c.png\",srcSet:\"https://framerusercontent.com/images/WMwSlsRdlCZdYtzjcHlUSJ9r4c.png?scale-down-to=512 512w,https://framerusercontent.com/images/WMwSlsRdlCZdYtzjcHlUSJ9r4c.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/WMwSlsRdlCZdYtzjcHlUSJ9r4c.png 1384w\",style:{aspectRatio:\"1384 / 464\"},width:\"692\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"124\",src:\"https://framerusercontent.com/images/jhzBdbUw6fga35SmbiOWFj6xI.png\",srcSet:\"https://framerusercontent.com/images/jhzBdbUw6fga35SmbiOWFj6xI.png?scale-down-to=512 512w,https://framerusercontent.com/images/jhzBdbUw6fga35SmbiOWFj6xI.png 676w\",style:{aspectRatio:\"676 / 248\"},width:\"338\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"An unclear error message where clearer messaging could be tested\"})}),/*#__PURE__*/e(\"h3\",{children:\"4. Single-Step vs. Multi-Step Forms\"}),/*#__PURE__*/e(\"p\",{children:\"Hypothesis: Breaking the form into multiple steps will improve completion rates.\"}),/*#__PURE__*/e(\"p\",{children:\"Multi-step forms can outperform single-page forms because they make the process feel less overwhelming. Test both formats to see which works better for your audience, and consider experimenting with how sections are divided.\"}),/*#__PURE__*/e(\"h3\",{children:\"5. Progress Indicators\"}),/*#__PURE__*/e(\"p\",{children:\"Hypothesis: Adding a progress bar will encourage users to complete multi-step forms.\"}),/*#__PURE__*/e(\"p\",{children:\"Progress bars reassure users by showing how much of the form is left to complete. Test different styles, such as percentages, step numbers, or labeled sections, to see which format is most effective at improving completion rates.\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"69\",src:\"https://framerusercontent.com/images/9luXOaNcOCaUthiVYkiUIGuskI.png\",srcSet:\"https://framerusercontent.com/images/9luXOaNcOCaUthiVYkiUIGuskI.png?scale-down-to=512 512w,https://framerusercontent.com/images/9luXOaNcOCaUthiVYkiUIGuskI.png 972w\",style:{aspectRatio:\"972 / 138\"},width:\"486\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"A straightforward progress bar for a financial form\"})}),/*#__PURE__*/e(\"h3\",{children:\"6. Question Order\"}),/*#__PURE__*/e(\"p\",{children:\"Hypothesis: Reordering fields to start with easier questions will increase engagement.\"}),/*#__PURE__*/e(\"p\",{children:\"The sequence of questions can influence whether users stick with the form. Starting with simple questions can build momentum, but there are exceptions\u2014such as insurance forms, where users often prefer to get a quote before providing personal details. Experiment with different orders to find the optimal flow.\"}),/*#__PURE__*/e(\"h3\",{children:\"7. Optimizing Individual Fields\"}),/*#__PURE__*/e(\"p\",{children:\"Hypothesis: Removing or simplifying unnecessary fields will boost conversions.\"}),/*#__PURE__*/t(\"p\",{children:[\"Fields like \u201CPhone Number\u201D often create hesitation. Test whether removing or simplifying specific fields impacts conversion rates. However, don\u2019t assume fewer fields always mean better results\u2014some fields add credibility, so their removal \",/*#__PURE__*/e(i,{href:\"https://unbounce.com/cta-conf/Michael_Aagaard_CTAConf2015.pdf\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"could have unintended consequences\"})}),\".\"]}),/*#__PURE__*/e(\"h3\",{children:\"8. Social Proof and Trust Signals\"}),/*#__PURE__*/e(\"p\",{children:\"Hypothesis: Adding trust badges or testimonials will increase user confidence.\"}),/*#__PURE__*/e(\"p\",{children:\"Trust indicators like security badges or customer testimonials can reassure users, particularly on checkout forms. Test the placement, type, and wording of these elements to identify what builds the most trust with your audience.\"}),/*#__PURE__*/e(\"h3\",{children:\"9. Save and Resume Functionality\"}),/*#__PURE__*/e(\"p\",{children:\"Hypothesis: Allowing users to save their progress will increase completion rates for lengthy forms.\"}),/*#__PURE__*/e(\"p\",{children:\"For long or complex forms, providing a save-and-resume option can reduce abandonment. Test whether adding this feature encourages users to return and finish the form.\"}),/*#__PURE__*/e(\"h3\",{children:\"10. Payment Method Options\"}),/*#__PURE__*/e(\"p\",{children:\"Hypothesis: Adding additional payment methods will reduce drop-offs during checkout.\"}),/*#__PURE__*/t(\"p\",{children:[\"A lack of preferred payment options is a common reason for abandonment. Test whether introducing alternatives like PayPal or Klarna increases conversions. Baymard research shows \",/*#__PURE__*/e(i,{href:\"https://baymard.com/blog/payment-method-selection\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"7% of users abandon checkout when their preferred method isn\u2019t available\"})}),\".\"]}),/*#__PURE__*/e(\"h3\",{children:\"11. Terms and Conditions\"}),/*#__PURE__*/e(\"p\",{children:\"Hypothesis: Revising the presentation of consent boxes will increase conversions.\"}),/*#__PURE__*/t(\"p\",{children:[\"Consent boxes and privacy disclaimers can be a sticking point. CXL research showed a potential \",/*#__PURE__*/e(i,{href:\"https://cxl.com/blog/ab-testing-forms/#a-b-test-4-test-your-data-privacy-copy\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"19% difference in variants\"})}),\". Test variations in wording, placement, or design to make them less intimidating while remaining compliant with legal requirements.\"]}),/*#__PURE__*/e(\"h3\",{children:\"12. Call-to-Action Optimization\"}),/*#__PURE__*/e(\"p\",{children:\"Hypothesis: Changing the button design, copy, or placement will increase click-through rates.\"}),/*#__PURE__*/e(\"p\",{children:\"From \u201CRed Button vs. Green Button\u201D debates to testing CTA text like \u201CSubmit\u201D vs. \u201CGet Started,\u201D small changes to your form\u2019s call-to-action can yield surprising results. Experiment with design, wording, and positioning to find the combination that drives the best engagement.\\xa0\"}),/*#__PURE__*/t(\"p\",{children:[\"We hope these 12 practical A/B testing hypotheses are helpful on your experimentation journey to make better, faster data-driven decisions. It\u2019s all about testing, learning and sharing. Form analytics fits nicely into the 4th pillar of experimentation culture \u201C\",/*#__PURE__*/e(i,{href:\"https://absmartly.com/blog/cultivating-a-culture-of-experimentation-with-a-b-testing-tools\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Invest in the Right Tools and Technologies\"})}),\"\u201C. Thank you to Alun for this helpful guest blog. For any questions, please reach out to\u2026\"]})]});export const richText4=/*#__PURE__*/t(a.Fragment,{children:[/*#__PURE__*/t(\"h4\",{children:[/*#__PURE__*/t(\"strong\",{children:[\"#EI2025 February 26-28, 2025 | St. Simons Island, GA, US\",/*#__PURE__*/e(\"br\",{})]}),/*#__PURE__*/e(i,{href:\"https://experimentationisland.com/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\" Visit Official Event Site\"})})]}),/*#__PURE__*/e(\"h3\",{children:/*#__PURE__*/e(\"strong\",{children:\"Come and have some island fun with us!\"})}),/*#__PURE__*/t(\"p\",{children:[\"We\u2019re excited to join the brightest minds in experimentation and optimisation. \",/*#__PURE__*/e(\"strong\",{children:\"Chris Perrin, Head of Product at ABsmartly\"}),\", \",/*#__PURE__*/e(\"strong\",{children:\"Ricardo Quina, CCO at ABsmartly\"}),\", and \",/*#__PURE__*/e(\"strong\",{children:\"Advisor, Erin Weigel\"}),\" will be there to share insights and connect with industry leaders.\"]}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"337\",src:\"https://framerusercontent.com/images/gYZ4wbMKTiKTJXySXMU3wnR9FKY.png\",srcSet:\"https://framerusercontent.com/images/gYZ4wbMKTiKTJXySXMU3wnR9FKY.png?scale-down-to=512 512w,https://framerusercontent.com/images/gYZ4wbMKTiKTJXySXMU3wnR9FKY.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/gYZ4wbMKTiKTJXySXMU3wnR9FKY.png 1200w\",style:{aspectRatio:\"1200 / 675\"},width:\"600\"}),/*#__PURE__*/e(\"h3\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})}),/*#__PURE__*/e(\"h3\",{children:/*#__PURE__*/e(\"strong\",{children:\"Why Strand Yourself on This Island?\"})}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"World-Class Content: \"}),\"Inspiring keynotes from \",/*#__PURE__*/e(\"strong\",{children:\"Erin Weigel\"}),\", \",/*#__PURE__*/e(\"strong\",{children:\"Tim Wilson\"}),\", \",/*#__PURE__*/e(\"strong\",{children:\"Aleksander Fabijan\"}),\", and many more.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Interactive Sessions: \"}),\"Join dynamic unconference break-out sessions for hands-on collaboration.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Curated Networking: \"}),\"Connect with a hand-picked group of 150 professionals in product, UX, marketing, and data.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"All-Inclusive Island Retreat: \"}),\"Meals, accommodations, and activities at the stunning Sea Palms Resort included\"]})})]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"450\",src:\"https://framerusercontent.com/images/11CzDymQAmlcsG8A24gN4mewNlA.png\",srcSet:\"https://framerusercontent.com/images/11CzDymQAmlcsG8A24gN4mewNlA.png?scale-down-to=512 512w,https://framerusercontent.com/images/11CzDymQAmlcsG8A24gN4mewNlA.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/11CzDymQAmlcsG8A24gN4mewNlA.png 1600w\",style:{aspectRatio:\"1600 / 900\"},width:\"800\"}),/*#__PURE__*/e(\"h3\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})}),/*#__PURE__*/e(\"h3\",{children:/*#__PURE__*/e(\"strong\",{children:\"\uD83C\uDF9F\uFE0F The Golden Ticket!\\xa0\"})}),/*#__PURE__*/t(\"p\",{children:[\"Save $250\",/*#__PURE__*/e(\"strong\",{children:\" on your ticket\"}),\" by registering through the link below. 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Key takeaways include:\"]}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Precision in experimentation\"}),\": Why targeting the right audience is crucial for actionable insights.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Balancing complexity and clarity\"}),\": How ABsmartly simplifies the process while maintaining the rigour needed for impactful results.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Real-life examples\"}),\": Anecdotes that illustrate the pitfalls of poor targeting and how to avoid them.\"]})})]}),/*#__PURE__*/e(\"p\",{children:\"Jonas loves to help others in experimentation, you can tell by the smile on his face. He enjoys not only solving complex problems but also educating others to improve their practices.\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"393\",src:\"https://framerusercontent.com/images/wTJg5SLJZXXeUajydlNVWQ4k.png\",srcSet:\"https://framerusercontent.com/images/wTJg5SLJZXXeUajydlNVWQ4k.png?scale-down-to=512 512w,https://framerusercontent.com/images/wTJg5SLJZXXeUajydlNVWQ4k.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/wTJg5SLJZXXeUajydlNVWQ4k.png 1191w\",style:{aspectRatio:\"1191 / 786\"},width:\"595\"}),/*#__PURE__*/e(\"h4\",{children:/*#__PURE__*/e(\"strong\",{children:\"A Commitment to Community\"})}),/*#__PURE__*/t(\"p\",{children:[\"Jonas Alves\u2019s appearances on these podcasts are down to his ongoing fascination with experimentation. He believes that experimentation needs to be part of the fiber of an organisation, and seeks to share insights, developed at organisations such as Booking.com, to enable others to excel in their roles.\\xa0 At ABsmartly, we\u2019re inspired by Jonas\u2019s vision and relentless pursuit of innovation. His contributions on these platforms embody our mission: \",/*#__PURE__*/e(\"strong\",{children:\"to empower product teams to experiment smarter, faster, and better.\"})]})]});export const richText6=/*#__PURE__*/t(a.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"Experimentation has the power to transform how companies make decisions. Christophe Perrin knows this better than most. From his early days at Optimizely, to his influential role at Booking.com, and now as Head of Product at ABsmartly, Chris\u2019 career has been defined by an enthusiasm for data, innovation, and empowering teams to experiment. With his knack for making the complex accessible, he\u2019s on a mission to make experimentation the cornerstone of great product development.\"}),/*#__PURE__*/e(\"h2\",{children:\"From Theory to Practice at Optimizely\"}),/*#__PURE__*/e(\"p\",{children:\"In 2013, Chris took his first real steps into experimentation at Optimizely, a company that was just beginning to expand outside the United States. Joining their EMEA office in Amsterdam, Chris\u2019 role at Optimizely was mostly a technical one, providing support and training to help get customers started with experimentation.\"}),/*#__PURE__*/t(\"p\",{children:[\"Back then, A/B testing was not as mainstream as it is today, it was still quite an unfamiliar concept for many. Use cases for A/B testing were very similar to the ones which led Dan Siroker to create Optimizely in the first place (\",/*#__PURE__*/e(i,{href:\"https://siroker.com/how-obama-raised-60-million-by-running-a-simple-experiment-e2e29b41bade\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"a bit of A/B testing history\"})}),\"), focused on small UI tweaks like changing images, button colors, copy, or testing alternate headlines. A/B testing tools were pretty much exclusively targeted at marketing and CRO teams and the single most important capability of an A/B testing platform in those days was the WYSIWYG (What You See Is What You Get) editor and its ability to create experiments and make changes to the website without the need for a developer.\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"While groundbreaking for non-technical teams, this could create quite a bit of tension with development teams as changes to the website were made without going through a formal product development process, creating cumbersome code that would inevitably introduce bugs, slow down the website and create the dreaded flickering.\"}),/*#__PURE__*/e(\"h2\",{children:\"Experimenting at Scale at Booking.com\"}),/*#__PURE__*/e(\"p\",{children:\"By 2016, Chris had moved to Booking.com, a company famed for embedding experimentation into every layer of its operations. It was a game-changer for him. \u201CI thought Iknew a lot about A/B testing, and I did\u2026 but I also realised how little I knew about Product Experimentation,\u201D he admits, \u201CIt\u2019s a totally different world, and it totally humbled me.\u201D\"}),/*#__PURE__*/e(\"p\",{children:\"At the time, the internal experimentation teams at Booking.com and other forward- thinking companies like Spotify or Microsoft were well ahead, both from the product, and the cultural point of view. At Booking.com, experimentation wasn\u2019t an afterthought or a luxury; it was embedded in the DNA of how decisions were made. No feature, no update, no change\u2014however small\u2014was pushed live without rigorous A/B testing. The process was thorough, and the expectations were clear: if you wanted to make a change, you needed the data to back it up.\"}),/*#__PURE__*/e(\"p\",{children:\"What really struck Chris was how democratised experimentation was at Booking.com. Experimentation wasn\u2019t confined to a few specialists. Anyone, from designers to engineers, could propose and run experiments. Booking.com does not have, nor need, a WYSIWYG editor, as all experiments are server side and all teams have the resources they need to be autonomous in building and running experiments. They are empowered to make decisions\u2014in fact, it\u2019s what made experimentation so successful, was the organisational structure and the culture of experimentation.\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"With experimentation supporting the decision making process throughout the organisation, this means that thousands of experiments are running at any given time, ensuring a high quality and reliable experimentation process at scale was one of Chris\u2019 main focus areas in his years at booking. Besides training and education, switching from Fixed Horizon to Group Sequential Testing was the biggest driver to increasing the quality of experiments as it helped reduce the risk of peeking and jumping to premature conclusions, a common pitfall in traditional A/B testing.\"}),/*#__PURE__*/e(\"p\",{children:\"Chris\u2019 other priorities were to scale experimentation to new strategic areas including partner platforms, flight, and rental car booking, from the technical, but more importantly, from the process point of view. In such a complex business environment, decisions are not made in isolation and understanding how each experiment contributes to the overall business objectives and can impact another part of the business is key to making good informed product and business decisions. This was key in helping Booking.com maintain its edge in the competitive travel industry.\"}),/*#__PURE__*/e(\"h2\",{children:\"Joining ABsmartly\"}),/*#__PURE__*/e(\"p\",{children:\"After years of pushing boundaries at Booking.com, Chris was ready for a new challenge. When Jonas Alves, the mastermind behind Booking.com\u2019s experimentation platform, approached him to join ABsmartly, the timing felt right. Jonas had a vision to build a vendor platform which would match the capabilities of such an in-house platform like Booking.com and make product experimentation accessible to any product team around the world.\"}),/*#__PURE__*/t(\"p\",{children:[\"For Chris, moving to ABsmartly was an easy \u201Cyes.\u201D\",/*#__PURE__*/e(\"strong\",{children:\" \"}),\"He\",/*#__PURE__*/e(\"strong\",{children:\" \"}),\"was drawn to ABsmartly\u2019s mission to empower anyone in a company to experiment. Unlike traditional tools, which are often geared towards marketing use cases, ABsmartly\u2019s product is built to serve the needs of developers and product managers alike. It offers features like real-time data processing and statistical safeguards designed to support experimentation throughout the entire product development lifecycle.\"]}),/*#__PURE__*/e(\"p\",{children:\"One of Chris\u2019 goals at ABsmartly is to create a platform that works for everyone\u2014technical or not. He wants to take the lessons learned from Booking.com\u2019s internal systems and make them adaptable for organisations of varying sizes and complexities. This isn\u2019t just about technology\u2014it\u2019s about fostering a culture of experimentation that encourages collaboration and breaks down silos.\"}),/*#__PURE__*/e(\"h2\",{children:\"How Experimentation Should Be Done\"}),/*#__PURE__*/e(\"p\",{children:\"Christophe Perrin\u2019s approach to experimentation is built on three core principles: curiosity, evidence, and continuous learning.\"}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/t(\"strong\",{children:[\"Asking Questions\",/*#__PURE__*/e(\"br\",{})]}),\"For Chris, experimentation is all about curiosity. It\u2019s about having the courage to ask, \u201CWhat if we tried something different?\u201D It\u2019s not about playing it safe. It\u2019s about cultivating a curious mindset by encouraging people and teams to ask questions and challenge assumptions. Not every experiment will succeed, but every experiment should be an opportunity to learn something valuable about our users.\"]}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/t(\"strong\",{children:[\"Data-Lead Decisions\",/*#__PURE__*/e(\"br\",{})]}),\"By basing product and business decisions on data, not opinions and focusing on measurable outcomes, experimentation strips away bias and helps teams prioritise. This, in turn, leads to more reliable and impactful outcomes for the business and the customers.\\xa0\"]}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/t(\"strong\",{children:[\"Iteration as a Superpower\",/*#__PURE__*/e(\"br\",{})]}),\"Experimentation is an ongoing process of discovery, iteration, and refinement. Every experiment, whether it succeeds or fails, adds to a team\u2019s understanding of their users and their product. This iterative approach also keeps teams aligned with user needs. It\u2019s not about what you think is best. It\u2019s about listening to what your users tell you through their behaviour.\"]}),/*#__PURE__*/e(\"h2\",{children:\"Shaping the Future at ABsmartly\"}),/*#__PURE__*/t(\"p\",{children:[\"With Chris as Head of Product at ABsmartly, the company is becoming much more than an experimentation platform\u2014it\u2019s a partner for organisations looking to innovate and grow. ABsmartly\u2019s product roadmap is ambitious. We aim to support our users throughout the entire product development life cycle, from ideation and discovery to delivery, so they make the best possible informed decisions for their customers and their business. But it\u2019s\",/*#__PURE__*/e(\"strong\",{children:\" \"}),\"more than just building tools. Chris is passionate about fostering a culture of curiosity and data-driven decision-making. At ABsmartly, he\u2019s working to help companies see experimentation not as an optional extra but as a core part of how they operate.\"]}),/*#__PURE__*/e(\"p\",{children:\"Under Chris\u2019 guidance, ABsmartly is set to change the way organisations think about experimentation\u2014making it accessible, impactful, and central to creating exceptional products.\"})]});export const richText7=/*#__PURE__*/t(a.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"This December, we\u2019re focused on simplifying the process of setting up and running tests, empowering teams to experiment with greater confidence and clarity. Our latest platform update makes your experimentation experience smoother, faster, and more flexible than ever.\\xa0\"}),/*#__PURE__*/e(\"h2\",{children:\"Enhanced Group Sequential Testing (GST)\"}),/*#__PURE__*/e(\"p\",{children:\"We made significant usability improvements to our GST to make it easier and faster to create and monitor experiments.\"}),/*#__PURE__*/e(\"p\",{children:\"One of the key improvements is real-time estimates for interim analysis. You can now see exactly when the next analysis will take place, so there\u2019s no guesswork involved. We\u2019ve also streamlined GST setups, allowing you to configure tests using just a maximum runtime without the need to define a Minimum Detectable Effect (MDE).\"}),/*#__PURE__*/e(\"p\",{children:\"Another useful addition is our new metric performance graph. This gives you a clear picture of how a metric behaves before you commit to it, helping you fine-tune your experiment for more reliable insights. Finally, we\u2019ve tidied up the experiment creation form, moving fields around so that it\u2019s easier to navigate and quicker to use.\"}),/*#__PURE__*/t(\"p\",{children:[\"These upgrades make GST more accessible and flexible, so teams can focus on running meaningful experiments without getting bogged down in setup details. For the full rundown of these changes, have a look at our \",/*#__PURE__*/e(i,{href:\"https://docs.absmartly.com/docs/web-console-docs/setting-up-a-gst-experiment\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"detailed documentation\"})}),\".\\xa0\"]}),/*#__PURE__*/e(\"h2\",{children:\"Field Locking in Templates\"}),/*#__PURE__*/e(\"p\",{children:\"If you\u2019re part of a team running lots of experiments, you\u2019ll know how important it is to have consistency in how tests are set up. With field locking in templates, you can now standardise experiment designs by locking down certain fields so they can\u2019t be changed.\"}),/*#__PURE__*/t(\"p\",{children:[\"This is particularly useful for fields like guardrail metrics or anything you don\u2019t want people to alter. It\u2019s a simple way to reduce errors, save time, and ensure everyone is on the same page when creating experiments. Field locking helps organisations with multiple teams or high experimentation velocity minimise errors by ensuring every experiment is set up correctly from the start. You\u2019ll find a full guide to setting up templates in our \",/*#__PURE__*/e(i,{href:\"https://docs.absmartly.com/docs/web-console-docs/templates/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"documentation hub\"})}),\".\\xa0\"]}),/*#__PURE__*/e(\"h2\",{children:\"Default Platform Settings\"}),/*#__PURE__*/e(\"p\",{children:\"Experiment setup can sometimes feel repetitive if you\u2019re configuring the same fields over and over again. That\u2019s why we\u2019ve introduced default platform settings to take care of those repetitive tasks for you.\"}),/*#__PURE__*/e(\"p\",{children:\"Now you can predefine defaults for key analysis fields, including:\"}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[\"Your preferred analysis type (\",/*#__PURE__*/e(i,{href:\"https://deploy-preview-224--absmartly-docs.netlify.app/docs/web-console-docs/type-of-analysis\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Group Sequential or Fixed Horizon\"})}),\").\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/e(\"p\",{children:\"Minimum and default confidence and power levels to keep experiments aligned with your standards.\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/e(\"p\",{children:\"Default MDEs for both Group Sequential and Fixed Horizon experiments.\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/e(\"p\",{children:\"Pre-set values for GST-specific fields like time to first analysis, analysis intervals, and maximum runtime.\"})})]}),/*#__PURE__*/t(\"p\",{children:[\"These defaults mean less fiddling with settings and more time spent designing impactful tests. They\u2019re particularly helpful for organisations running experiments at scale, where consistency and efficiency are critical. You can configure these settings in \",/*#__PURE__*/e(\"strong\",{children:\"Settings > Platform Settings\"}),\", and once they\u2019re set, they\u2019ll apply automatically to all new experiments.\"]}),/*#__PURE__*/e(\"h2\",{children:\"Making Experimentation Smoother, Faster, and More Flexible\"}),/*#__PURE__*/e(\"p\",{children:\"Looking back over 2024, it\u2019s been a big year for making experimentation smoother, faster, and more scalable. We\u2019ve focused on practical improvements that remove friction and help you get more out of every test you run.\"}),/*#__PURE__*/e(\"p\",{children:\"New features like enhanced Group Sequential Testing and metric performance graphs make it easier to design and monitor experiments that deliver reliable insights. At the same time, field locking and default platform settings give your teams the structure they need to run experiments efficiently and consistently, even at scale.\"}),/*#__PURE__*/t(\"p\",{children:[\"As we head into 2025, we\u2019ll keep listening to your feedback and evolving the platform to meet your needs. To explore how our latest features can streamline your experimentation process and deliver better insights, book a \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/elite-experimenter\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"personalised demo today\"})}),\" and see ABsmartly\u2019s updates in action.\\xa0\"]})]});export const richText8=/*#__PURE__*/t(a.Fragment,{children:[/*#__PURE__*/t(\"p\",{children:[\"A/B testing is incredibly valuable for businesses looking to refine their websites and apps, and understand the user experience better. But experimentation is significantly more challenging when it comes to low-traffic sites and apps. We are referring to folks with a few thousand visitors/users per month. Drawing statistically significant conclusions from user experience usability testing is much more difficult with fewer visitors. When your traffic is low, and you\u2019re working with relatively small numbers, it\u2019s harder to collect meaningful data that confirm the success (or otherwise) of your tests. Despite these challenges, experiments on low-traffic sites and apps can still be effective, if businesses think creatively and make a few key strategic adjustments, using a reliable \",/*#__PURE__*/e(\"strong\",{children:\"A/B testing platform\"}),\".\\xa0\"]}),/*#__PURE__*/e(\"h2\",{children:\"Understanding Statistical Significance with Low Traffic\"}),/*#__PURE__*/e(\"p\",{children:\"Businesses that are running experiments need to make sure that their A/B test outcomes are real, not just random fluctuations. In high-traffic environments, achieving significance is relatively straightforward because large sample sizes make it easier to detect even small changes. However, low-traffic websites and apps face an uphill battle. A product with only a few thousand visitors/users each month will struggle to recognise small variations, such as a 1% change in conversion rates, in the standard two-to-four-week experiment window.\"}),/*#__PURE__*/e(\"p\",{children:\"One solution for low-traffic sites and apps is to make bolder changes. Instead of testing minor tweaks, such as small text changes, companies with low traffic should focus on more impactful alterations\u2014such as redesigning key parts of the user journey or significantly changing the call-to-action buttons. Larger adjustments usually yield more dramatic results, making statistical significance easier to achieve in a shorter time frame.\"}),/*#__PURE__*/e(\"h2\",{children:\"Effective Strategies for Low Traffic A/B Testing\"}),/*#__PURE__*/e(\"p\",{children:\"Businesses with low traffic need to adapt their testing approaches to account for the constraints of limited sample sizes. These are some of the strategies we recommend to ensure effective experimentation, even with fewer visitors.\"}),/*#__PURE__*/e(\"h3\",{children:\"Run Experiments Over Longer Periods\"}),/*#__PURE__*/e(\"p\",{children:\"High-traffic sites and apps can often complete tests within a few weeks, but for low-traffic sites and apps, you need to be patient. Extending the duration of experiments allows more data to accumulate, increasing the likelihood of detecting statistically significant changes. There are potential downsides to running long tests though, such as user behaviour changes over time. Users might also switch devices or browsers, complicating the tracking of interactions and conversions.\"}),/*#__PURE__*/e(\"h3\",{children:\"Why Group Sequential Testing is well-suited for Low traffic sites and apps\"}),/*#__PURE__*/t(\"p\",{children:[\"Not all A/B testing methods are created equal. For low-traffic products, \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/engine\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"group sequential testing (GST)\"})}),\" allows businesses to make interim decisions throughout the experiment without sacrificing statistical power and integrity. This means that if a test reaches significance earlier than expected, it can be stopped, saving valuable time and resources.\"]}),/*#__PURE__*/t(\"p\",{children:[\"This methodology is much more effective than traditional approaches (Fixed Horizon), where businesses have to wait longer until the predetermined sample size is reached before making any conclusions. Group sequential testing provides a pragmatic balance between speed and accuracy, making it an \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/blog/the-danger-of-not-looking-beyond-numbers-in-experimentation\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"excellent option for low-traffic experimentation\"})}),\".\"]}),/*#__PURE__*/e(\"h3\",{children:\"Use Surrogate Metrics for Faster Results\"}),/*#__PURE__*/t(\"p\",{children:[\"Using \",/*#__PURE__*/e(i,{href:\"https://stats.stackexchange.com/questions/406298/whats-the-difference-between-a-surrogate-metric-and-a-proxy-metric\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"surrogate metrics or proxy metrics\"})}),\"\u2014closely related to, but not exactly, the ultimate goal (or primary metric)\u2014is a great way to speed up decision-making. For example, if the primary objective of an experiment is to increase revenue, it will take too long to gather enough data to make an informed decision when a business has low traffic. Instead, focus on intermediary actions, such as how many users add an item to their cart.\"]}),/*#__PURE__*/e(\"p\",{children:\"By concentrating on metrics that are closer to the behaviour being tested, businesses can get quicker feedback and flex their strategies more rapidly. While surrogate metrics should not replace the final business objective, they offer an early indication of how users interact with the change, giving valuable insights along the way. A good surrogate metric should be quite correlated with the original metric and a good tool will allow you to still check the impact on the main metric after the decision was made.\\xa0\"}),/*#__PURE__*/e(\"h2\",{children:\"How Power Calculations Help in A/B Testing\"}),/*#__PURE__*/e(\"p\",{children:\"Power calculations are extremely useful, especially for low-traffic sites and apps, as they help determine how long the test needs to run with the traffic we have. Without an adequate sample size, tests risk being underpowered, making it impossible to understand whether the data is genuine or something that happened just by chance.\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"Power calculations are useful in showing how many users are needed and how long the test should run to achieve statistical significance. Power calculations ensure businesses don\u2019t conclude experiments too early or rely on inconclusive data due to insufficient traffic.\"}),/*#__PURE__*/e(\"p\",{children:\"At ABsmartly, we have a built-in power calculator so that teams don\u2019t skip it or have to jump out of the A/B testing software to an external calculator that most times uses a different statistical method than the one that will be used by the AB testing tool.\"}),/*#__PURE__*/e(\"h2\",{children:\"Use Cases for A/B Testing on Low-Traffic Sites\"}),/*#__PURE__*/e(\"p\",{children:\"For businesses with low traffic, A/B testing isn\u2019t always about improving conversion rates or boosting revenue directly. Sometimes, small-scale experiments are used for risk mitigation and quality assurance. Sometimes businesses aim to ensure that changes made to the product don\u2019t negatively impact user experience or system performance.\"}),/*#__PURE__*/t(\"p\",{children:[\"For example, a company might run tests to confirm that a new feature or bugfix functions correctly across different browsers or mobile devices, and doesn\u2019t break other parts of the website, safeguarding the \",/*#__PURE__*/e(\"strong\",{children:\"user experience testing\"}),\" and preventing issues before they spread. Using A/B tests in your development processes, either to enhance your continuous integration, or canary testing efforts, or as another step of risk mitigation, will allow you to not only speed up the time to ship features, but also offer you more sensitivity and specificity to detect problems. \",/*#__PURE__*/e(i,{href:\"https://www.youtube.com/watch?v=lV9kb3rnlOU\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"See our webinar on real-time data\"})}),\" for more details. A/B testing in this context is important for safeguarding the user experience and preventing issues before they spread.\\xa0\"]}),/*#__PURE__*/e(\"h2\",{children:\"Running Multiple Experiments on Low-Traffic sites and apps\"}),/*#__PURE__*/e(\"p\",{children:\"A common misconception is that low traffic limits the ability to run multiple experiments simultaneously. However, companies can run several tests at the same time, on multiple areas of the website or app, across multiple devices (web app, mobile app), etc., as long as these experiments don\u2019t interfere with each other. It\u2019s unwise to run two tests on the same element\u2014changing both its colour and its text simultaneously\u2014since these variables could interact with each other, making the results of the experiment unclear.\"}),/*#__PURE__*/t(\"p\",{children:[\"At ABsmartly, we offer interaction detection, which notifies users when multiple tests might be interfering with each other.\\xa0 Although non-planned interactions are very rare, or even almost nonexistent, experimenters are frequently concerned about running dozens of experiments simultaneously on the same page. A good experimentation platform with this feature \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/blog/introducing-interaction-detection-feature-flags-and-more-in-our-april-feature-release-blog\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"ensures peace of mind\"})}),\". Having this functionality allows them to do it with peace of mind, knowing that in case there\u2019s an issue, the tool will alert them.\\xa0\\xa0\"]}),/*#__PURE__*/e(\"h2\",{children:\"Democratising Experimentation\"}),/*#__PURE__*/e(\"p\",{children:\"Effective A/B testing is still possible for companies with limited traffic by using strategies like bolder changes, longer tests, surrogate metrics, and experimentation as risk mitigation. Using a power calculator to know if an experiment is feasible in a reasonable amount of time allows experimenters to know ahead of time if they are good to go, if they need to change the metric to a surrogate closer to the change, or even if they should just go with a non-inferiority test for risk-mitigation. Interaction detection is also a good feature to have, which allows businesses to run multiple experiments, sometimes dozens or even hundreds of them simultaneously without fear of interference, ensuring they get faster, data-driven decisions.\"}),/*#__PURE__*/e(\"p\",{children:\"While A/B testing on low-traffic sites and apps has some challenges, it\u2019s certainly not beyond reach when approached intentionally and with the right tactics.\\xa0\"}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(i,{href:\"https://absmartly.com/benefits\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Platforms like ABsmartly, support experimentation\"})}),\" for businesses of all sizes, with features such as group sequential testing, interaction detection and power calculations, making the process of experimentation simpler, more reliable and smoother.\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]});export const richText9=/*#__PURE__*/t(a.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"Real-time online controlled experimentation is transforming how companies test new ideas, detect issues early, and make revenue-driving decisions with agility. Experimentation industry leaders like ABsmartly have championed this evolution, creating systems that provide immediate insights and create a culture of continuous improvement and innovation.\"}),/*#__PURE__*/t(\"p\",{children:[\"Jonas Alves, \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/our-story\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"co-founder and CEO of ABsmartly\"})}),\", and Lukas Vermeer, \",/*#__PURE__*/e(i,{href:\"https://www.lukasvermeer.nl/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Senior Director of Experimentation at Vista\"})}),\", each have extensive experience building and leading experimentation teams at companies like Booking.com. They know firsthand how real-time data can revolutionise business experimentation and drive increased revenue.\"]}),/*#__PURE__*/e(\"h2\",{children:\"What Do We Mean By Real-Time in Experimentation?\"}),/*#__PURE__*/e(\"p\",{children:\"In online experimentation, real-time often becomes a buzzword, but what does it really mean? Real-time implies immediate access to data or outcomes, but in practice, we\u2019re talking of seconds or minutes. In the world of experimentation, real-time generally refers to the ability to process and respond to data quickly enough to make meaningful and timely decisions.\"}),/*#__PURE__*/e(\"p\",{children:\"What counts as real-time? In most scenarios, real-time implies that data latency is low enough for teams to identify trends, spot issues, and make decisions at speed. While the precise definition can be subjective, this article's real-time definition will refer to a latency window of seconds or minutes rather than hours or days.\"}),/*#__PURE__*/e(\"h2\",{children:\"What is Latency?\"}),/*#__PURE__*/e(\"p\",{children:\"In experimentation, latency is the delay between when an event occurs and when its effects are visible in reports or dashboards. It is essentially the time it takes for data to travel through the various collection, processing, and analysis stages to reach a report or dashboard. Latency determines how quickly teams can detect trends, identify bugs, and make informed decisions based on live data. High latency can impact the ability to react quickly to negative outcomes, leaving problems untouched or unnoticed for hours or days, which can have dire effects on customer experience, the brand, and the business. Making real-time data essential for effective and agile experimentation practices to react without delay.\"}),/*#__PURE__*/e(\"h2\",{children:\"What Causes Latency in Experimentation?\"}),/*#__PURE__*/t(\"p\",{children:[\"Several factors contribute to latency in data processing and reporting within \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/blog/what-is-an-experimentation-platform\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"experimentation platforms\"})}),\":\"]}),/*#__PURE__*/t(\"ol\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Data Collection:\"}),\" The first step involves collecting user interactions or events. This process can vary in speed, depending on the complexity of the \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/blog/improving-efficiency-and-experiment-set-up-quality-introducing-our-may-feature-releases\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"tracked data and the efficiency of the tools\"})}),\" used for logging these interactions. Any delay in this phase adds to the overall latency.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Data Transmission:\"}),\" Once collected, the data needs to be transmitted from the user's device to a central processing system. Network speed, server load, and data size all affect how quickly data is transmitted.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Aggregation and Processing:\"}),\" After data reaches the server, it undergoes aggregation and processing to generate insights. This step introduces further delays, particularly if the infrastructure relies on batch processing (e.g., data warehouses) rather than real-time streaming.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Dashboard and Reporting:\"}),\" Finally, processed data is loaded into dashboards or reports for analysis. While some dashboards are built to display data quickly, the latency incurred in previous stages often limits the speed.\"]})})]}),/*#__PURE__*/t(\"p\",{children:[\"Streaming-based systems like ABsmartly tend to provide near real-time results within minutes, while data warehouses could introduce delays of up to 36\",/*#__PURE__*/e(i,{href:\"https://arxiv.org/pdf/1801.08532\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\" \"})}),\"hours due to batch processing schedules. At companies like Booking.com, a mix of architectures resulted in latency windows ranging from a few minutes to several hours, depending on the system used.\"]}),/*#__PURE__*/e(\"h2\",{children:\"Why Is Real-Time Data Such a Game Changer for PLG?\"}),/*#__PURE__*/e(\"p\",{children:\"Real-time data in experimentation is transformative because it enables quicker, data-driven decisions. Immediate data enables teams to detect and address problems as they occur. If an experiment negatively impacts key metrics like reservations, returns, or cancellations, real-time insights can trigger an early warning, allowing teams to promptly investigate and mitigate potential issues, reduce risk, and even potentially save thousands or millions to the business.\"}),/*#__PURE__*/e(\"p\",{children:\"Real-time data allows developers and product teams to iterate rapidly. By quickly assessing the impact of changes, teams can refine their strategies and improve user experiences faster. With real-time monitoring, companies can adopt a risk-tolerant approach to experimentation. They can deploy changes more confidently, knowing they have the tools to catch negative outcomes early. This shift in risk perception empowers teams to try new ideas without fear of long-term negative consequences.\"}),/*#__PURE__*/e(\"p\",{children:\"The ability to view results within minutes rather than days or weeks changes the entire landscape of experimentation. It encourages a proactive, data-centric approach to product development that prioritises speed, responsiveness, and continuous improvement.\"}),/*#__PURE__*/e(\"h2\",{children:\"Consequences of High Latency in Experimentation\"}),/*#__PURE__*/t(\"p\",{children:[\"When data takes hours or days to surface, it delays decision-making, and teams are left in the dark about the impact of their changes. This delay can mean missed opportunities to optimise products or services and could make negative outcomes worse if a problematic change goes undetected for too long. \",/*#__PURE__*/e(i,{href:\"https://arxiv.org/pdf/1801.08532\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"High latency often leads to conservative behaviour in deploying experiments.\"})}),\" Teams become more cautious about rolling out changes because the delayed feedback loop makes it harder to identify and correct problems quickly. This risk aversion can stifle innovation and slow down the development cycle or experimentation flywheel.\"]}),/*#__PURE__*/e(\"p\",{children:\"Without real-time insights from experimentation platforms, teams may turn to traditional monitoring tools for immediate feedback. However, these tools lack the sensitivity and specificity of controlled experiments, potentially leading to incomplete or misleading conclusions.\"}),/*#__PURE__*/e(\"p\",{children:\"Internal processes also become more cumbersome when data takes longer to process. Teams may need to adopt more extensive QA measures pre-launch, which can slow down the product development pipeline. High latency also forces teams to rely on intuition and hypothesis-driven decision-making rather than using data to make objective insights.\"}),/*#__PURE__*/e(\"h2\",{children:\"Opportunities of Low Latency in Experimentation\"}),/*#__PURE__*/e(\"p\",{children:\"Low-latency experimentation opens up a wealth of opportunities for organisations. One of the most significant advantages of real-time experimentation platforms is the ability to immediately identify bugs. Small issues, especially those affecting niche user segments, can be detected through experimentation data that traditional monitoring tools might overlook.\"}),/*#__PURE__*/e(\"p\",{children:\"Real-time data enables teams to confidently deploy changes. With the ability to closely monitor the impact of new features, companies can mitigate risk by halting or adjusting experiments if they show negative trends. This reduced feedback loop allows for rapid iteration. Teams can make small, incremental changes and quickly assess their impact. Real-time insights also allow teams to allocate resources efficiently\u2014for instance, QA teams can prioritise experiments showing potential issues, focusing on high-risk areas rather than conducting exhaustive pre-launch testing on every new feature.\"}),/*#__PURE__*/e(\"h2\",{children:\"How and When Would You Use Real-Time Experimentation?\"}),/*#__PURE__*/e(\"p\",{children:\"Real-time data should be leveraged whenever teams need immediate feedback to guide decision-making. Real-time experimentation is particularly valuable in these scenarios:\"}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Feature Rollouts: \"}),\"To monitor the release of new features. If negative trends are detected, feature flags can be used to quickly disable or adjust the feature for specific user segments.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Bug Fixes: \"}),/*#__PURE__*/e(i,{href:\"https://absmartly.com/blog/why-should-we-use-controlled-experiments-for-a-b-testing\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Running a controlled experiment\"})}),\" for bug fixes allows teams to ensure that the change doesn't introduce new issues, providing an additional safety net.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Risky or Uncertain Changes:\"}),\" When testing changes with potentially high risk (e.g., major UI overhauls).\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"11px\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-decoration\":\"none\"},children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Marketing Campaigns: \"}),\"Real-time data is important in monitoring user behaviour in response to marketing campaigns. Immediate insights can guide adjustments to campaign strategies.\"]})})]}),/*#__PURE__*/e(\"h2\",{children:\"The Importance of Post-Release Monitoring\"}),/*#__PURE__*/e(\"p\",{children:\"Post-release monitoring is invaluable for identifying issues that may not have surfaced during initial testing. Real-time experimentation platforms serve as a continuous integration testing tool, tracking user interactions and system performance after a change goes live.\\xa0\"}),/*#__PURE__*/t(\"p\",{children:[\"For example, a \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/blog/feature-testing\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"feature that works well during testing\"})}),\" may show unexpected behaviour in production due to unforeseen interactions with other systems or user segments. Real-time post-release monitoring helps identify such issues quickly, allowing teams to act before they cause widespread problems.\"]}),/*#__PURE__*/e(\"h2\",{children:\"The Advantage of Using Controlled Experiments for Monitoring\"}),/*#__PURE__*/t(\"p\",{children:[\"Using controlled experiments (\",/*#__PURE__*/e(i,{href:\"https://absmartly.com/blog/what-is-ab-testing\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"A/B tests\"})}),\") for monitoring gives teams a more sensitive and specific way to detect issues than traditional methods. Controlled experiments reveal the impact of changes on specific user segments, highlighting areas that may require attention.\"]}),/*#__PURE__*/e(\"p\",{children:\"If each change you want to make is done as one experiment you can pinpoint right away which change created a problem. This means you can immediately stop the experiment instead of rolling back a full code release. Separating out the experiments means you don't need to have to examine all of the changes you\u2019ve made to identify where the problem has come from (if we even notice the problem in the first place). Without experiments, it might take months to find hidden breakages. This level of granularity is often missing in general monitoring tools, which tend to provide aggregate data.\"}),/*#__PURE__*/e(\"p\",{children:\"By using real-time experimentation as part of the post-release monitoring strategy, organisations can maintain a high standard of product quality while continuing to innovate and experiment.\"}),/*#__PURE__*/e(\"h2\",{children:\"Latency Has an Outsized Impact on Development\"}),/*#__PURE__*/e(\"p\",{children:\"Data latency in experimentation platforms makes a huge difference in how teams operate, make decisions, and manage risk. Low-latency, real-time data can be a game-changer in creating an agile development environment, improving risk management, and enhancing the overall quality of products and services. On the other hand, high latency can lead to conservative behaviour, inefficient processes, and missed opportunities.\"}),/*#__PURE__*/e(\"p\",{children:\"By embracing real-time data and integrating it into their experimentation strategies, organisations can confidently innovate, respond to user feedback, and make informed, data-driven decisions. While real-time monitoring isn\u2019t a cure-all, its ability to provide immediate insights and early detection makes it an indispensable tool in modern product development. Companies must understand and manage latency to leverage its full potential, using it to drive their success.\"}),/*#__PURE__*/t(\"p\",{children:[\"To explore how ABsmartly\u2019s real-time experimentation platform can accelerate your business growth, \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/pricing\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"visit our pricing page\"})}),\" for more information on tailored solutions.\"]})]});export const richText10=/*#__PURE__*/t(a.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"Overview\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"Zenjob, a leading jobs marketplace and personnel service provider for part-time employment, recognised that building an experimentation culture would empower their team to continuously test, learn, and refine their business and product strategies with intellectual honesty.\\xa0\\xa0\"}),/*#__PURE__*/t(\"p\",{children:[\"Zenjob's short-term goals were focused on building traction and maximising the effectiveness of their operations. In the long term, Zenjob aims to \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/blog/cultivating-a-culture-of-experimentation-with-a-b-testing-tools\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"foster a robust culture of experimentation\"})}),\" across the entire organisation. This means scaling experimentation volume and increasing velocity, as well as creating a knowledge base that can be shared company-wide, ensuring that insights gained from experiments are accessible to everyone. By building this experimentation mindset, Zenjob aims to create a more agile, data-driven organisation where every decision is backed by evidence and every team member can contribute to driving the company\u2019s success. Most of what they do is uncertain, so experimentation is not optional; experimentation is baked into their business strategy.\"]}),/*#__PURE__*/e(\"h2\",{children:\"Challenge\\xa0\"}),/*#__PURE__*/e(\"h3\",{children:\"Finding the Right Partner for Personalised Support\"}),/*#__PURE__*/t(\"p\",{children:[\"Zenjob wanted to create a culture of experimentation company-wide, not just for a select few \u201Cexperimenters\u201D in the company. To make it a mindset for the entire team. They were searching for a solution that could provide a \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/blog/successfully-navigating-experimentation-with-absmartly-s-health-check-panel-march-feature-release\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"holistic approach to experimentation\"})}),\" and make results accessible company-wide to democratise adoption. The unlimited platform users aspect of the ABsmartly offering \u201Cunlimited and unrestricted collaboration\u201D is ultimately why they chose ABsmartly.\"]}),/*#__PURE__*/t(\"p\",{children:[\"Zenjob had considered other experimentation platforms like Optimizely and LaunchDarkly, but they were looking for a partner to not only enable a experimentation culture but also a tool and team with a deep understanding of Zenjob's \",/*#__PURE__*/e(i,{href:\"https://www.managementstudyguide.com/marketplace-business-model.htm\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"marketplace business model\"})}),\" because marketplace experimentation is complicated; it\u2019s different from retail or other B2C models. With marketplaces, bids or offers start and end sporadically, unlike retail offers that are mostly stocked goods that can be replenished.\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"Zenjob appreciated ABsmartly\u2019s uniquely personalised experience, including built-in coaching and support as they built and scaled the program, particularly because Zenjob had a relatively inexperienced experimentation team at the time. \u201CWhat\u2019s most interesting about ABsmartly is the personal touch element. ABsmartly\u2019s built-in coaching and support were very, very important to our decision-making.\u201D said Will Ellis, Zenjob CTO. This one-to-one, human connection and direct line of communication between ABsmartly and customers is hard to find in the industry. Zenjob said, \u201CWe enjoy working with ABsmartly on challenges and ideas, them sharing the roadmap and us making input, generally staying connected to us and our experimentation efforts.\u201D\"}),/*#__PURE__*/e(\"h2\",{children:\"Solution\"}),/*#__PURE__*/e(\"h3\",{children:\"Building and Scaling the Experimentation Program\"}),/*#__PURE__*/t(\"p\",{children:[\"Zenjob ultimately chose ABSmartly because they loved the \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/benefits\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"unlimited user access feature\"})}),\", which allows everyone in the organisation\u2014from engineers and data scientists to company leaders\u2014to engage with and understand the experiment results without the cumbersome workarounds or cost to add platform users that are required by other platforms. \u201CDriving adoption means that everyone can look at experimentation results\u2014we\u2019re not interested in a seat licencing model, unlimited platform users what helped us chose ABsmartly and where it has to be for experimentation culture to thrive\u201D\"]}),/*#__PURE__*/e(\"p\",{children:\"With ABsmartly, Zenjob began to run 1-2 tests per month, and they intend to scale the program and increase this to 20-30 monthly experiments. Zenjob has a diverse mix of people configuring experiments; a mix of engineers, data analysts, and data scientists, demonstrating that cross-team collaboration is key.\\xa0\"}),/*#__PURE__*/e(\"h2\",{children:\"Benefits\"}),/*#__PURE__*/e(\"h3\",{children:\"Driving Measurable Improvements in Key Metrics\"}),/*#__PURE__*/e(\"p\",{children:\"Even in the early stages of the partnership, Zenjob has seen impressive results from its experimentation efforts. They increased the number of experiments they conducted each month, enabling them to double the number of applications per advertised shift, leading to faster and more efficient job placements.\"}),/*#__PURE__*/e(\"p\",{children:\"Zenjob has seen a 5x improvement in the time it takes to receive applications for a newly advertised shift, allowing companies to fill positions more quickly, and their short-term cancellation rate has dropped from 11% to 7%, reducing last-minute disruptions for employers.\"}),/*#__PURE__*/t(\"p\",{children:[\"Using primarily \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/engine\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Group Sequential Testing\"})}),\", allows Zenjob to move faster by requiring fewer visitors to reach statistically significant results. This is particularly important with their size of company and their traffic. Running only \",/*#__PURE__*/e(i,{href:\"https://docs.absmartly.com/docs/web-console-docs/type-of-analysis/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Fixed Horizon experiments\"})}),\" would slow the program down.\\xa0\"]}),/*#__PURE__*/t(\"p\",{children:[\"Zenjob also utilises our \",/*#__PURE__*/e(i,{href:\"https://segment.com/catalog/integrations/destination/ab-smartly/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Segment.io integration\"})}),\" to connect their Customer Data Platform (CDP) with the ABsmartly experimentation tool. Segment helps in unifying user profiles by resolving different identifiers into a single user profile. This is vital for experiments that require tracking user behaviour across different platforms or sessions. Using the Segment integration in their experimentation leads to efficient, accurate, and scalable experiments by streamlining data collection and management, reducing engineering overhead, and enhancing data governance. This ultimately results in faster and more reliable insights from their experiments.\"]}),/*#__PURE__*/e(\"h2\",{children:\"Conclusion\"}),/*#__PURE__*/t(\"p\",{children:[\"\u201CABsmartly can generate real value for other companies because they bring the [experimentation] culture, not just the tool.\u201D \",/*#__PURE__*/e(i,{href:\"https://www.zenjob.com/en/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Zenjob\"})}),\"\u2019s successful experimentation program isn\u2019t just about using the ABsmartly tool; it\u2019s about continuous learning and open sharing. Together we host monthly experimentation support meetings to ensure that ABsmartly engineers are always on hand to answer questions and solve problems. \u201CNever underestimate the difficulty of experimentation; the intellectual honesty part is probably the toughest. Many like to tout successes, but are we talking enough about failure? We rely on ABsmartly to bounce ideas off of and advise us in our efforts\u201D.\"]}),/*#__PURE__*/t(\"p\",{children:[\"Need a partner that brings the culture AND the tool? \",/*#__PURE__*/e(\"strong\",{children:\"Contact us today\"})]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]});export const richText11=/*#__PURE__*/t(a.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"This autumn, we\u2019re excited to introduce several powerful improvements to help make your experimentation workflow smoother, more intuitive, and even more effective. At ABsmartly, we\u2019re constantly refining our platform so your team can focus on what matters\u2014running effective experiments and making revenue-impacting decisions.\"}),/*#__PURE__*/e(\"h2\",{children:\"Improving Our Unique Group Sequential Testing (GST) Engine\"}),/*#__PURE__*/t(\"p\",{children:[\"We\u2019ve worked hard to make Group Sequential Testing (GST) faster, more flexible, and applicable to more use cases than ever before. Now, GST is the default method for all new experiments, though you can still select a fixed-horizon analysis if needed. Find out more information about the different analysis types\",/*#__PURE__*/e(i,{href:\"https://docs.absmartly.com/docs/web-console-docs/type-of-analysis/\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\" here\"})}),\".\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"Previously, GST was only available for cases where an increase in a primary metric was expected. But we know that sometimes your hypotheses aim to reduce KPIs, such as cutting down on cancellations, lowering support tickets, or minimising returns. When you asked, we answered we\u2019ve now made key updates that will allow you to use GST when a decrease in a metric is expected. 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Instead of specifying the number of checkpoints, experimenters can choose the minimum frequency between the checkpoints that best suits their need\u2014whether it\u2019s once a day, once a week, or another interval that works for your use cases and your metrics.\\xa0 This change can help you \",/*#__PURE__*/e(i,{href:\"https://absmartly.com/engine\",motionChild:!0,nodeId:\"LGEjlG9Vm\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"get the most out of Group Sequential Testing\"})})]}),/*#__PURE__*/e(\"h2\",{children:\"Estimating Participants More Accurately\"}),/*#__PURE__*/e(\"p\",{children:\"One of the trickier aspects of experimentation has always been estimating how many participants will be eligible and, as a direct consequence, how long the experiment will run. This gets even more difficult when using complex targeting audiences To solve this, we\u2019ve added a new feature that leverages historical data to give you an estimate of the maximum number of participants who will likely qualify for your experiment based on platform, tracking, and audience criteria. While it\u2019s important to remember these numbers are only an estimate, they should help give you a better sense of how long your experiment will need to run and if it\u2019s even worth running it.\"}),/*#__PURE__*/e(\"h2\",{children:\"Slack Integration for Seamless Collaboration\"}),/*#__PURE__*/t(\"p\",{children:[\"We\u2019re all about making team collaboration easier, which is why we\u2019re happy to introduce Slack integration to ABsmartly. You\u2019ll now get real-time notifications directly in your team\u2019s Slack channels whenever something important happens with your experiments or when special attention is required. 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