Agent skill · research science · borghei
product-research
Continuous product discovery research operations — picking the method that fits the question, recruiting and screening participants, building interview guides, and scoring evidence into insights. Use when planning or running discovery.
Why this skill is useful
Adds a method recommender script that helps choose the right research method based on specific questions and constraints.
What it needs
Requires python3 installed locally. About 7k tokens when loaded. Last updated 2026-07-21. 462 stars on the source repository.
What this skill does
Product Research The operational layer of continuous product discovery: choosing a method that actually answers the question asked, recruiting the right people without poisoning the sample, running interviews that surface behaviour rather than opinion, and converting a pile of session notes into insights with an honest confidence attached. When to use this skill A team is about to build something and the evidence behind it is three sales anecdotes and a strongly held opinion Choosing a method — someone has asked for "a survey" or "some user interviews" before anyone has written down the question Designing a screener for a study where recruiting the wrong participants would be worse than not running it Writing an interview guide that has to be run consistently by several people across a dozen sessions Synthesising evidence into insights after a round of discovery, with a defensible confidence level on each claim Standing up a continuous discovery cadence — a repeatable weekly rhythm rather than one-off project research Inputs the skill expects The decision the research feeds, and who makes it The question in interrogative form — what you do not know, not what you want confirmed Decision reversibility — can this be undone in a sprint, or is it a one-way door Timeline and budget for the study Access to participants: existing customers, prospects, panel, or none Existing evidence already on hand (tickets, session recordings, sales calls) Clarify First Before generating, confirm these inputs. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills borghei/product-research