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90% of Features Fail — Your Team Probably Isn't Asking This One Question
How-ToMachine Learning

90% of Features Fail — Your Team Probably Isn't Asking This One Question

via Dev.toTyson Cung4h ago

I've watched teams burn months building features nobody wanted. Brilliant engineers, solid code, clean architecture — shipped to absolute silence. Zero adoption. The feature just... sits there. The failure rate is brutal. According to MIT, roughly 95% of new products miss the mark. Pendo's research shows that 80% of features in the average SaaS product are rarely or never used. That's not a rounding error. That's a systemic problem. So what's going wrong? The "Why" Problem Most teams skip the most basic question: why would someone actually use this? Not "would this be cool?" Not "did a customer ask for it?" Not "does our competitor have it?" The real question is deeper — what job is this feature doing for someone, and is that job painful enough that they'll change their behavior to use it? A CPO I respect put it this way: ship when you know the "why," not when the code is done. That sounds obvious. In practice, almost nobody does it. The Feature Factory Trap Here's how it usually goes.

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