By name: product-opportunity-mapping description: Systematically scan cultural, platform, and behavioral shifts to find high-leverage consumer opportunities before committing to builds.
Opportunity Landscape Mapping
Intent
- Detect emerging wants, friction points, and timing windows across consumer categories, platforms, and geographies.
- Translate diffuse signals into crisp problem statements and opportunity theses.
Inputs
- Macro trend library (culture, tech, regulatory, commerce, creator economy, web3, gaming).
- Behavioral data: search terms, app store reviews, social chatter, marketplace data, support tickets.
- Jobs-to-be-done interviews or transcripts.
Workflow
- Frame the arena
- Define target segment, contexts of use, and competing alternatives.
- Capture constraints (distribution, tech stack, platform rules).
- Signal harvesting
- Pull at least three independent data sources (quant + qual).
- Tag signals by magnitude (market size), urgency, and underserved intensity.
- Opportunity scoring
- Score each thesis on desirability, feasibility, timing, and strategic fit (0–5 scale).
- Highlight contrarian or under-served jobs with high desirability but low current satisfaction.
- Narrative articulation
- Produce a one-page brief: user tension, evidence, why-now drivers, first wedge.
- List unknowns that require experiments vs. desk research.
Verification
- Ensure each opportunity thesis cites at least two evidentiary sources.
- Review scores with a peer strategist or PM for bias.
- Archive briefs in shared knowledge base for reuse.