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pm-discovery
Structure product discovery workflows by extracting hidden assumptions from PRDs, building customer journey maps, creating user interview guides, mapping Jobs-to-be-Done with opportunity scoring, and synthesizing interview transcripts into actionable research findings.
What's Inside
Skills5
assumption-mapper
/assumption-mapper
Extract and risk-rate hidden assumptions in a product brief or PRD. Use when asked to review a product brief for assumptions, audit a PRD for risks, find hidden assumptions, validate product plans, or run an assumption analysis. Produces a prioritised assumption map with confidence and impact scores, recommended validation methods, and critical assumption flags.
customer-journey-map
/customer-journey-map
Build a customer journey map for a product, service, or experience. Use when asked to map a customer journey, create a user journey, document touchpoints and pain points, or design an experience map. Produces a complete journey map with stages, touchpoints, emotions, pain points, and prioritised opportunities.
discovery-interview-guide
/discovery-interview-guide
Create a structured user discovery interview guide with screener questions, a discussion guide, and a synthesis framework. Use when planning user interviews, customer discovery sessions, Jobs-to-be-Done research, or problem validation. Produces a complete guide covering warm-up, problem exploration, and a per-session synthesis template.
job-story-mapper
/job-story-mapper
Write Jobs-to-be-Done (JTBD) job stories and map customer jobs across functional, social, and emotional dimensions. Use when defining user needs, writing job stories, conducting JTBD research, or reframing features around customer outcomes. Produces a job story map with opportunity scoring, pain intensity ratings, and product opportunity analysis.
user-interview-synthesis
/user-interview-synthesis
Synthesises user interview transcripts into structured research findings. Use when asked to analyse interview notes, synthesise qualitative research, identify themes from interviews, or turn raw interview data into actionable product insights. Produces a themed synthesis with supporting quotes per theme, 'so what' implications, and recommended next steps.
Stats
Version3.0.0
Released
LanguageShell
Stars973
Forks176
MaintenanceExcellent
LicenseMIT
Last Commit
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