Mastering AI Evaluation for Smarter Product Decisions | Amazon Group PM
From the video description
In this session, you’ll learn how to evaluate AI-powered product updates through a practical, structured lens—balancing product impact, cost, and risk. The session introduces a simple scorecard that helps communicate to executives—within a minute—whether an AI release drives value, exceeds budget, or presents brand concerns. You’ll explore a four-layer framework that flags risks like hallucinations and prompt injections, learn how to connect latency and safety metrics to revenue outcomes, and review benchmarks from leading companies like Netflix, Spotify, and OpenAI.
Topics
Sources
Video by Product School, played through YouTube.
- Indie Picks
Data and selection notes
Indie Picks uses video metadata for classification. The description above is an uploader excerpt, not an independent review.
Indie Picks: Independently collected SaaS and AI product videos, organized by a founder handbook. Topics and relevance are metadata-indexed; full-video editorial review has not been completed. Descriptions are uploader excerpts where available.
Views, duration and playback status refresh separately from the published catalog. When an update fails, existing data remains visible.
Selection checks
- SaaS & AI candidates: Topic keywords do not match
- Editor-approved picks: Editorial review is required