Loading...
Loading...
Found 11 Skills
Help users assess and achieve product-market fit. Use when someone is trying to determine if they have PMF, measuring user engagement and retention, running the Sean Ellis survey, or figuring out if they should scale or keep iterating.
Expert framework for assessing and achieving product-market fit. Combines PMF measurement methodologies, Sean Ellis survey, retention analysis, segment-specific PMF, and post-PMF scaling strategy. Use when determining if product has PMF, measuring user engagement, running PMF surveys, or deciding whether to scale or keep iterating.
Measure product-market fit (PMF) and produce a PMF Measurement Pack (Sean Ellis “very disappointed” survey, retention/usage evidence, reference-customer signals, and an action plan). Use for growth teams assessing PMF, PMF drift, and launch readiness.
Help users decide when and how to pivot their startup. Use when someone is questioning their current direction, seeing poor traction, considering a major strategy change, or stuck in the pre-PMF stage.
Use when asked to "PMF survey", "measure product-market fit", "40% rule", "Sean Ellis test", "Rahul Vohra method", or "how disappointed would you be". Helps quantify product-market fit and systematically improve it. The PMF Survey framework (created by Sean Ellis, popularized by Rahul Vohra at Superhuman) measures how disappointed users would be without your product and turns that data into a roadmap.
Use when "product strategy", "OKR planning", "product vision", "market positioning", or asking about "competitive analysis", "product-market fit", "go-to-market strategy", "product roadmap"
When the user wants to validate product-market fit, measure PMF, or plan before scaling. Also use when the user mentions "PMF," "product-market fit," "product market fit," "Sean Ellis test," "very disappointed," "vitamin vs painkiller," "PMF validation," "premature scaling," or "validate before scale."
Apply startup execution wisdom to product, strategy, and business decisions. Use for feature prioritization, build-vs-buy decisions, go-to-market planning, pricing, hiring, scope/timeline reality checks, or when evaluating whether an idea has product-market fit potential.
Builds feedback collection systems using Superhuman's PMF framework and YC's "talk to users" methodology. Use when implementing NPS surveys, scheduling user interviews, or measuring product-market fit.
Use when asked to "jobs to be done", "JTBD", "why customers churn", "prep for customer interviews", "hire and fire products", or "find real competitors". Helps discover unmet needs and the context behind purchasing decisions. The Jobs to be Done framework (created by Clayton Christensen and Bob Moesta) explains why customers hire and fire products.
Build your PMF context layer - reference files that capture the "WHY" behind your product. Use when user mentions "PMF", "product market fit", "define my PMF context", "PMF context", "ICP", "value prop", "aha moments", or asks about understanding customers or market positioning.