Agent skill

prd-v01-problem-framing

Transform vague product ideas into evidence-anchored problem statements for PRD v0.1 Spark. Triggers on starting new products/features, validating market opportunities, drafting PRD Why sections, or requests like "frame the problem", "define pain points", "write problem statement", "start v0.1", "what problem are we solving". Outputs structured problem tables with CFD evidence IDs.

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npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/prd-v01-problem-framing

SKILL.md

Problem Framing Skill

Transform market signals into evidence-anchored problem statements.

Workflow Overview

  1. Assess gaps → Identify what evidence is missing
  2. Anchor evidence → Create CFD-IDs for each pain point
  3. Extract dimensions → Pull multiple problems from each source
  4. Quantify costs → Add time/money/risk numbers
  5. Draft statement → Populate the problem table

Core Output Template

Populate this table for every problem statement:

Element Definition Evidence
Who is hurting? Specific, findable, countable persona Segment size
What pain exists? Observable behavior or workflow friction CFD-ID
Cost of problem Time, money, or opportunity lost Quantified
Why now? Market trigger creating urgency Trend/event
What's impossible? Opportunity cost—what can't they do User quote

See assets/problem-statement.md for copy-paste template.

Step 1: Gap Assessment

Before drafting, create this status table:

Element Status Source
Who is hurting? ⚠️ Hypothesis / ✅ Validated / ❌ Missing
What pain exists? ⚠️ / ✅ / ❌
Cost of problem ⚠️ / ✅ / ❌
Why now? ⚠️ / ✅ / ❌
What's impossible? ⚠️ / ✅ / ❌

Gate: Require ≥2 elements ✅ Validated before drafting. If ≥3 elements ❌ Missing, run deep research first. See references/research-prompts.md for research templates.

Step 2: Evidence Anchoring

Create CFD entries for each pain point:

CFD-###
Source: [Platform/Person]
Tier: [1-5]
Quote: "[Verbatim]"
Dimensions: [List problems extracted]

Evidence Tier Hierarchy:

  • Tier 1: Buying behavior (invoices, subscriptions, job budgets)
  • Tier 2: Active workarounds (spreadsheets, hired help)
  • Tier 3: Complaints with cost ("costs me X hours")
  • Tier 4: General complaints ("this is annoying")
  • Tier 5: Speculation — REJECT

Step 3: Pain Dimension Extraction

Extract multiple problems from each source. One quote often contains 3-4 distinct pain dimensions.

Example: "USB sticks removed for every update, no scheduling, screens don't communicate, priced for 100+ displays" → Sneakernet workflow, No dynamic scheduling, No centralization, Price mismatch

Step 4: Cost Quantification

Every problem needs a number:

Type Calculation
Time Hours/week × hourly rate
Money Current spend on workaround
Opportunity Revenue/outcomes missed
Risk Penalty × probability

Step 5: Draft Problem Statement

Use the core output template. Reference CFD-IDs for every claim.

See references/examples.md for good/bad examples with explanations.

Quality Gates

Pass Checklist

  • ≥1 Tier 1-2 evidence item
  • Cost quantified (time, money, or risk)
  • "Who" specific enough to build prospect list
  • "Why now" has at least Tier 3 hypothesis

Testability Check

  • Can find 10 people with this problem in 48 hours?
  • Can observe the pain behavior?
  • Can quantify cost without leading questions?

Anti-Patterns

Pattern Example Fix
Vague "Who" "Small businesses" → "SMBs with 1-10 screens"
Feature-as-problem "Need a dashboard" → "Can't see status"
Solution creep "MVP must solve X" → Stay on problem (v0.4)
Missing cost "This is annoying" → "Costs X hrs/week"
Speculation "Users might want" → Find evidence or reject

Bundled Resources

  • references/research-prompts.md — Deep research templates by gap type. Use when gap assessment shows ≥3 missing elements.
  • references/examples.md — Good/bad problem statement examples with explanations.
  • assets/problem-statement.md — Copy-paste template for problem tables and CFD entries.

Handoff

Problem statement complete when quality gates pass. Next: v0.2 Market Definition (segments, sizing, ICP).

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