Most Product Managers building AI features get obsessed with one number — accuracy. But here’s the truth: accuracy doesn’t tell you if your AI product actually works for users.
In this episode of Product Bakar, Rishikesh breaks down the five real metrics that define success for AI products — adoption, trust, effort reduction, task completion, and business impact.
We’ll explore how to connect model metrics (like precision and recall) with product outcomes (like user satisfaction and ROI), and why focusing too narrowly on technical performance can hide what truly matters.
Tune in to learn:
If you’re a Product Manager, builder, or founder working with AI — this episode will change how you measure success.
Keywords: AI metrics, AI product management, Product Manager podcast, accuracy vs adoption, AI success metrics, product KPIs, user trust in AI