What problem does it solve? Teams often commission expensive primary research (interviews, surveys) to answer questions that existing reports, filings, or internal data already answer, or they cite weak vendor content as market fact. This Skill runs a disciplined desk/secondary research pass first: it anchors the work to a decision, inventories what is already known, grades every source on a quality ladder, and converts what remains unknown into a primary-research agenda. ## Core Features & Use Cases - Decision-anchored scoping: Forces a one-sentence decision anchor and 3-5 answerable research questions before any reading begins, with a declared timebox and recency window. - Source quality ladder: Grades sources into four tiers (primary data, named-methodology research, journalism, vendor content), chases claims to their origin, and requires triangulation for load-bearing claims. - Gap list as deliverable: Outputs an evidence inventory with per-question ANSWED/PARTIAL/OPEN status, then converts every open question into a gap entry with the cheapest method to close it. - Use Case: Before designing a voice-commerce concept for first-time internet users in India, run a one-day desk pass to confirm regional-language usage from regulator data, flag a vendor claim about voice preference as under-evidenced, and hand the resulting gaps to a research plan. ## Quick Start Ask the AI to run a desk research pass on your market or domain, anchored to a specific decision, and produce an evidence inventory plus a gap list before any primary research is planned.
