Moving others from Validating Assumptions to Data-Driven Optimization

Most optimizers know that we shouldn’t be validating our assumptions and we work to be less biased. The challenge is we work with people and clients who may not be used to a disciplined data-driven approach like A/B Testing. What do you do when someone else only wants data to validate themselves.

In this video, I will share three practical tips you can start using today to help other people you work with be more open to using data. As you help others recognize and overcome their opinions and assumptions you help them be more data-driven and improve the outcomes of the optimization program.

In this video, you will learn several things to improve your testing efforts including:
• The danger of validation
• Two recent experience of validating vs. data-driven decision making
• 3 practical ways to get people out of opinion and into data

Testing Theory is where professional testers turn to do better A/B testing and get more conversions.

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