Context
Quik is a mobile-first content companion built around two connected capabilities: a Scene Intelligence Engine that reads a captured photo or video and generates a ready-to-post caption and short story, and a Trend & Activity Studio that suggests on-trend poses and activities for family and friend gatherings.
Problem
Capturing a moment is effortless; turning it into something worth sharing is not. A lot of everyday footage never gets posted — or gets posted with a flat, generic caption — because writing something that captures the feeling takes mental effort, and groups often run out of ideas for what to actually do or film together.
Opportunity
The white space sits in a crowded category: the biggest tools in this space are built for individual creators optimizing for reach, not for families and friend groups trying to capture and share a moment together — Quik was scoped specifically around occasions, not creator professions.
Research
Four Jobs-to-be-Done personas were built around occasions rather than creator professions, followed by a structured competitive analysis and a market-sizing exercise grounded in cited industry data — kept private at this stage, see Outcome below.
Decision-Making
The central decision wasn't a feature call — it was whether to proceed at all. A formal Desirability/Feasibility/Viability assessment reached a clear, reasoned "proceed, but sequence the bet" verdict rather than a vague endorsement, including an honest, named account of the single biggest feasibility risk instead of glossing over it.
Prioritization
A phased roadmap sequenced the de-risked capability first, directly informed by the feasibility risk surfaced in the DFV assessment — prioritization here meant ordering the roadmap around what could kill the product, not just what would delight users first.
Execution
The output is the most complete strategy document in the portfolio — competitive analysis, market sizing, a phased roadmap, a monetization strategy, and a full risk register, treated with the rigor of a real investment-committee document rather than a portfolio exercise.
Collaboration
As sole author, I used an AI collaborator to accelerate structured drafting across the persona work, competitive analysis, and risk register, while the market read, the DFV verdict, and the roadmap sequencing decision were mine to make and defend.
Trade-offs
The DFV assessment forced an explicit trade-off between speed-to-market and de-risking sequence — launch the most exciting capability first, or prove the riskiest assumption first. I chose the latter, accepting a slower visible start for a materially lower chance of building the wrong thing first.
Outcome
Concept-stage, self-directed. The competitive research, market sizing, roadmap, monetization model, and risk register are strategy artifacts I keep private at this stage and share directly on request.
Reflection
A credible "proceed" recommendation needs an equally credible account of what could kill the product. Writing the feasibility risk and the risk register honestly made the roadmap's sequencing decision — ship the de-risked capability first — obviously correct rather than arbitrary.
Lessons Learned
Naming the single biggest risk explicitly, rather than treating a strategy document as a pitch, is what made this defensible as a real decision rather than an exercise in optimism.
Future Improvements
The roadmap's own Phase 0 — user interviews and a smoke-test landing page — is the next real step. Until that runs, this stays a validated thesis rather than a validated product.
My Contribution
Sole author of the full product strategy and PRD — problem framing, competitive research, market sizing, persona development, roadmap sequencing, monetization strategy, and the DFV assessment were all mine.