This synthesizes customer research data into a structured Ideal Customer Profile with demographics, behaviors, Jobs to Be Done, and pain points. You'd use it when analyzing PMF survey responses, defining target segments from interview transcripts, or figuring out which customer cohorts actually retain and expand. It follows Clayton Christensen's JTBD framework and pushes you to look at both firmographics and the underlying motivations driving purchase decisions. The output includes disqualification criteria and go-to-market implications, which is helpful since knowing who not to sell to matters as much as knowing your ideal buyer. Best when you have actual customer data to feed it rather than hunches.
npx skills add https://github.com/phuryn/pm-skills --skill ideal-customer-profile