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A “winning” test can still be wrong. Statistical significance doesn’t guarantee a positive impact. And several common issues can quietly mislead teams into shipping the wrong decision.
Sample ratio mismatch, underpowered tests, or misread p-values can make a result look better than it is.
On July 16 at 9am PT / 12pm ET, Ronny Kohavi and Luke Sonnet will show the exact checks they use to validate experiment results before acting on them.
Three live attendees will win a free seat in Ronny’s course, Accelerating Innovation with A/B Testing.
Don’t trust the next “winner” until you’ve run the checks.
Register Now
P.S. Already registered? Add it to your calendar so you don’t miss the drawing.
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