StreamLine Spotlight
Curing decision fatigue with human-curated discovery.
Role
Product Manager — Discovery to Roadmap
Target lift
+15%
30+ min sessions
11% → 26%
Eval window
90 days
Overview
StreamLine grew its catalog past 15,000+ titles, but Wanderers — viewers who just want something worth watching — were churning to Letterboxd, MUBI and Criterion to make decisions, then returning only to press play. Spotlight reclaims the discovery moment with a calm, human-curated rail above the noise.
The Problem
Algorithm-heavy rows produced infinite scroll and disengagement. Qualitative research surfaced exhausted Wanderers who left the app to evaluate elsewhere before returning to watch. The cost was trust — the scarcest asset in discovery.
The Approach
I framed the problem as a trust gap, evaluated four strategic alternatives (AI personalization, community, advanced filters, human curation), and chose human curation as the strongest first step — it builds trust fast and creates the data flywheel later personalization will need.
The Outcome
A weekly editor-vetted rail above the algorithmic fold, an opinionated PRD with explicit out-of-scope cuts, a 3-sprint roadmap, and a prototype users can tap in under 60 seconds. Spotlight reframes StreamLine from a warehouse into a destination.
Artifacts
From discovery to delivery.
Selected deliverables — problem framing, research, strategic alternatives, PRDs and roadmap.
Artifact 01
Problem · Value Prop · Hypothesis
Anchoring on decision fatigue and a measurable bet on long-session engagement.
Artifact 02
Competitive & Workaround Analysis
Mapping where Wanderers actually decide — outside the app — and what they trust there.
Artifact 03
Strategic Alternatives
Four options, one chosen. Why human curation earned the first step, and how it scales into a moat.
Artifact 04
PRD Snippets & Prototype
MVP scope, out-of-scope discipline, and the Spotlight rail above the fold.
Artifact 05
Product Roadmap
Now / Next / Later — explicit kill-list to protect the bet.
