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Aligning metrics with user needs

The best AI metrics directly connect to user goals. If users want to learn a language, measure actual proficiency gains, not just app usage. If they need medical information, track health outcomes, not just search queries answered. This alignment ensures AI serves human purposes.

Misaligned metrics create frustrated users and failed products. A fitness app that celebrates streaks might discourage users who miss a day, even if they're making progress overall. A writing assistant that optimizes for grammar perfection might strip away personal voice and creativity. The metrics shape behavior in unintended ways.

Understanding user needs requires research beyond assumptions. What do users hire this product to do? What does success look like in their lives, not just in the app? How do they measure their own progress? These questions reveal which metrics matter.

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