You're working on an AI feature inside a collaborative work management product, and early feedback says it is technically impressive but mixed in actual day-to-day use. The team wants a clear way to judge whether the feature is genuinely helping users or just producing plausible output.
How do you evaluate whether an AI feature is actually useful to users, beyond just whether it works technically?
Ability to define user value for AI features in workflow productsJudgment on LLM evaluation beyond offline qualityClarity on success criteria and product metricsTrade-off thinking around trust, control, speed, and scope