Testing GenAI products with precision, speed, and confidence is the new frontier for product managers.
Smart teams validate AI features by testing variations of prompts, tracking live user queries and feedback, and monitoring metrics like hallucination rate and feedback quality score.
The new product testing playbook for AI-native builders includes implementing a real-time user feedback loop, version control on prompts, and building safeguards for hallucinations, bias, and misuse.
Ensuring data privacy and setting ethical guardrails are crucial aspects in testing and deploying AI features in fast-moving teams.