Netflix — Mood Meter PRD + Lean Canvas
What's your mood tonight? Netflix should ask.
A full group PRD, Lean Canvas, user stories, and ICE-scored product backlog for the Netflix Mood Meter — a mood-first content discovery feature that lets users pick their vibe and receive a curated recommendation in under 90 seconds.
Problem
U.S. streaming viewers spend an average of 12 minutes per session searching for content. 19% abandon sessions entirely when they can't find something to watch, rising to 29% among 18–24 year olds. Netflix's "Play Something" feature was retired in 2024 due to low usage — proving that passive randomization wasn't the answer. Users needed structured, intention-aware discovery.
Solution
The Mood Meter is a persistent homepage banner ("What's your mood tonight?") that walks users through a 3-screen flow: mood tile selection, preference tuning, and a personalized results page — completable in under 90 seconds.
- 8 mood tiles: Chill, Hyped, Laugh, Emotional, Scared, Romantic, Mind-Bending, Action
- Preference sliders for watch length and content familiarity
- Viewing context toggle: Solo / With Others / Family (filters by maturity rating)
- Results page with AI-generated reasoning connecting mood to pick
- Persistent banner on all devices — no account setup required
ICE Scoring & Prioritization
Our team evaluated three competing feature ideas using ICE scoring. The Mood Meter scored highest at 28 (Impact: 8, Confidence: 0.5, Ease: 7), beating out Film of the Week (16.8) and a Social Review Layer (4).
Experiment Plan
Three-phase rollout: observe (5% US rollout, weeks 1–8), A/B test (mood meter vs. standard homepage, weeks 9–20), then structured user interviews before full launch at week 25+.