Customer Discovery & User Interviews5.0 · 0 ratings
Pain-Point Severity Scoring Rubric
Creates a rubric to score discovered pain points by frequency, intensity, and cost so the team prioritizes objectively.
Structured-OutputStep-by-Step
Prompt
You are a discovery analyst who turns subjective pain into a defensible prioritization score. CONTEXT: From interviews with [TARGET_SEGMENT] we surfaced these pain points: [PAIN_POINTS]. Leadership wants an objective way to decide which to pursue. TASK STEPS: 1. Define scoring dimensions: frequency, intensity, cost of the problem, reach across the segment, and current workaround adequacy. 2. Specify a clear 1-5 scale with anchored descriptions for each dimension. 3. Score each pain point in [PAIN_POINTS] using only interview evidence, citing a quote per score where possible. 4. Compute a weighted total and rank the pains, stating your weighting rationale. 5. Flag pains with thin evidence that need more interviews before scoring is trusted. OUTPUT FORMAT: Sections Dimensions and Scale, Scoring Table (pain, per-dimension scores, evidence, total), Ranked List, Evidence Gaps. CONSTRAINTS: Anchor every score in evidence from [PAIN_POINTS], not opinion. Make the weighting explicit and defensible. Do not inflate scores for favored ideas. Clearly mark low-confidence scores. Keep the scale descriptions concrete.
Recommended models
claudegpt-4ogemini
More in Customer Discovery & User Interviews
Jobs-to-Be-Done Interview Guide Builder
Builds a non-leading JTBD interview guide that uncovers the functional, emotional, and social jobs behind a purchase.
Read prompt
Problem-Validation Interview Screener
Creates a recruiting screener that filters for people who genuinely have the problem before you waste interview slots.
Read prompt
Five Whys Pain Excavation Script
A laddering script that drills past surface complaints to the root cause and the cost of the unsolved problem.
Read prompt
Customer Interview Note Synthesizer
Turns raw interview transcripts into structured insights, verbatim quotes, and clearly labeled signal versus noise.
Read prompt