From the course: UX Research: Lean Experimentation
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Analyzing lean experiments - Sketch Tutorial
From the course: UX Research: Lean Experimentation
Analyzing lean experiments
- If you've designed and conducted a sound experiment, analyzing the data should be relatively simple, because you have already defined what success and failure look like, and the data will tell you where you've landed. If your hypothesis was clearly proven, congratulations! This not only means that you were moving in the right direction, but that your next step is clear. You can move forward implementing whatever you hypothesized and start exploring the next riskiest assumption. In the lean startup world, we call this persevering. One note, though. If all your hypotheses are proven true, that's a red flag. You may be setting your success criteria too leniently, looking at vanity metrics or false positive, or perhaps you aren't really exploring the riskiest items. Of course, you may be on the right path, and that's great. But it's very unlikely that every single hypothesis will be proven. If you're feeling suspicious, it may be worth conducting follow-up tests to see if you can…
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