Graham McNicoll

Teams have no shortage of ideas, but implementing them is where teams hit roadblocks. Sometimes the bottleneck is the company’s technical framework. Other times, it is limited engineering capacity or a lengthy approval process. Whatever the cause, these constraints make it harder for teams to explore and test their ideas. AI has made changing a webpage almost trivial. But turning that change into a reliable A/B test is a separate challenge. The variation still needs to work within the company’s existing framework, be reviewable by engineers, and produce trustworthy data that shows whether it actually had an impact. That is exactly why we built our new AI Visual Editor: so anyone can describe the change they want and let the tool build the variation. Once the variation is ready, they can launch it as an experiment and measure its impact using the same metrics and data their team already trusts. Check out the AI Visual Editor here: https://lnkd.in/gmbCxzdV