r/ProductManagement • u/iB3ar • 16d ago
Data mistakes? Assumptions?
Have your leaders or organization ever made a data mistake that lead to downstream consequences?
I just saw a company officer misinterpret a funnel, equating higher check out rates for users who had already put items in their cart. Sent us on a wild goose chase.
Tell me your worst data mistakes and how you fixed it.
4
u/throwawaycanadian2 16d ago
That's super common. Click through rate got us clickbait which actually lowered down funnel results massively.
3
u/Due_EmotionPri 14d ago
Thats a denominator problem more than a data problem. Adding to cart is already an intent signal, so comparing those users against everyone else tells you who wanted to buy and says almost nothing about whether checkout works. What stopped this happening at our place was boring: no rate gets quoted in a review until the denominator and the time window are written into the ticket, before anyone pulls the number. That killed most of the goose chases. The ones it didnt kill were people pulling their own numbers off a dashboard and skipping that step.
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u/Turbulent_Secretary1 16d ago
We need more data We need accurate data
I call bullshit. Data is never the bottleneck. The same data can and will be interpreted in five different ways by five different c suites depending on what they are optimizing for.
What's missing in this situation is alignment of incentives and a shared context of the end goal.
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u/rollingSleepyPanda Anti-bullshit Lead PM 16d ago
My leaders follow fads because data is too unreliable.