One Month PM - The Fullstack PM Academy compartilhou isso
Creating Fullstack Product Managers at One Month PM | Investing at Shilling VC | Prev: VP Product/Founding at Kitch (sold to Glovo)
I bet you're biased. I'm biased. Your team is completely biased. Your CEO is 100% biased. Every single time I've screwed up in a product decision, it was connected with NOT identifying someone's biases (including my own). So let's explore them, in a way PMs get them: 1. Confirmation Bias You only read the user feedback that says your product is awesome. The rest? “Users are dumb”. 2. Anchoring Bias The first estimate is always the right estimate. New information that says “this will take longer” doesn’t matter. 3. Availability Heuristic Last week's bug is all you can think about, so you declare it "top priority". Meanwhile, other bugs rule the backlog. 4. Hindsight Bias After the product launch, you’re like, “Oh, I *knew* that feature would be a hit... even though I almost cut it three times.” 5. Self-Serving Bias If the product succeeds, it’s because of your brilliant strategy. If it fails, it’s because the dev team didn’t “understand the vision.” 6. Dunning-Kruger Effect After one sprint, you’re pretty sure you could code the whole app yourself... even though you don’t even have a GitHub account. 7. Fundamental Attribution Error When sales miss their targets, it’s because they’re lazy. When you miss a deadline, it’s because the requirements weren’t clear. 8. Ingroup Bias The product team’s ideas are always superior—especially when you’re presenting them as your own in the leadership meeting. 9. Optimism Bias “This release is going to be a walk in the park!”—you say, knowing deep down that you’re going to be pulling an all-nighter on launch day. 10. Sunk Cost Fallacy You keep pushing a doomed feature because “we’ve already spent too much time on this to quit now!”. 11. Overconfidence Bias You assure everyone the integration will take “two weeks, max.” Three months later, you’re still “confident” it’ll be done soon. 12. Negativity Bias That one piece of negative feedback keeping you up at night, while all positive comments gather digital dust. 13. Bandwagon Effect “Everyone’s adding AI to their product! We should too!”—even though you’re still not sure what AI actually stands for. 14. Framing Effect You rephrase “cutting features” as “prioritizing core functionality,” and suddenly everyone’s on board. 15. Loss Aversion You’d rather keep a broken feature than remove it, because, well, what if someone actually *likes* it? 16. Recency Bias The last customer demo went well, so you decide the whole product is ready for launch, ignoring that crash from two minutes ago. 17. Survivorship Bias You point to your one successful product as proof your strategy works, conveniently forgetting the five that didn’t make it. 18. Gambler’s Fallacy “We’ve had three successful sprints in a row—there’s no way this one can go wrong!” Spoiler: It can, and it will. This can save your product, team and career.