With GenAI, user feedback comes in the traditional forms as well as Thumbs up, Thumbs down Query edit and retries. Users are prompt engineering constantly. The perception is that users are not "prompting well enough". But as a PM, your job is to make the users life easier, effective, better. So understanding the intent of especially multi-turn queries is important to effectively measure quality. A well reflecting Quality rubric is more important than DAU/WAU/MAU number. e.g Factuality, Instructi ...Read More
How do you gather meaningful user feedback on AI features that might fail in unexpected ways?
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