Data cherry-picking to support your hypothesis. What is it? Why is it bad? 🍒
Data is an essential part of the work of every product manager. It helps to form and validate hypotheses, provide more insights about user behavior, and make better decisions and track product changes.
But the misuse of data can be harmful. One important example is selecting only data that confirms a particular hypothesis and ignores relevant contradictory evidence.
We interviewed experienced product managers and economists from different companies about the risks and remedies of data cherry-picking. They shared their thoughts on the following:
What is data cherry-picking?
Why do product teams cherry-pick data to support their point of view or hypotheses?
What is the impact of data cherry-picking on business, users and executives?
How can you bias-proof your research and hypothesis validation process?
Time To Read: 5 Minutes
Published: May 2022
Link: Data cherry-picking to support your hypothesis. What is it? Why is it bad? 🍒
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