product-opportunity-mapping

# 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 1. Macro trend library (culture, tech, regulatory, commerce, creator economy, web3, gaming). 2. Behavioral data: search terms, app store reviews, social chatter, marketplace data, support tickets. 3. Jobs-to-be-done interviews or transcripts. ## Workflow 1. **Frame the arena** - Define target segment, contexts of use, and competing alternatives. - Capture constraints (distribution, tech stack, platform rules). 2. **Signal harvesting** - Pull at least three independent data sources (quant + qual). - Tag signals by magnitude (market size), urgency, and underserved intensity. 3. **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. 4. **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.