Product Concept
What to Watch Next
Product concept · Hypothetical research and metrics
A small home-screen module that gives film-community members three to five personalized picks, each with a one-line reason based on what they have logged, rated, and liked.
- Role
- Product manager
- Context
- Self-directed case study
- Year
- 2026
[ Problem ]
Film-community platforms offer lists, friends’ activity, and similar-film browsing. None directly answers “what should I watch tonight?”, so members can bounce between reviews and watchlists without choosing.
[ Approach ]
- Defined three target member profiles and focused the first version on people with enough viewing history for useful picks.
- Set a research hypothesis: members want a small set of relevant options with a clear reason for each recommendation.
- Scoped an MVP of three to five picks with reasons, watchlist actions, and feedback controls, then prioritized the backlog with RICE scoring.
- Outlined a layered recommendation approach where a clear explanation matters more than a complex model.
[ Proposed outcome ]
- Hypothetical success measure: how often members add a pick to their watchlist or log it, compared with the holdout group.
- Defined a focused MVP with a gradual rollout against a holdout group, plus a personalization opt-out.
- Prioritized “More like this / Less like this” next, followed by streaming filters, taste-match picks, and onboarding.
- All research findings and metrics are hypothetical.
[ Tools & skills ]
Product DiscoveryUser ResearchRICE PrioritizationMVP ScopingBacklog ManagementA/B Testing
[ Documents ]
Case study briefPDF · 1 page
