fnd.r-scoring-problems

Problem Validating

Validate and prioritize problems by severity, frequency, and willingness to pay.

Canvas Files

• Reads: 04.segments.md (primary segment for problem context)
• Reads: 01.context.md (beliefs about problems to validate)
• Writes: 05.problem.md

Prerequisites

Before validating problems:

• strategy/​canvas/​04.segments.md must exist with primary segment defined

If missing:

"Problem validation requires customer segments from 04.segments.md.

Problems must be anchored to specific segments — 'everyone has this problem' is not validatable.

Run fnd.r-segmenting-customers skill or fnd-researcher agent first."

Process

Step 1: Load Context

Read from canvas:

• Primary segment from 04.segments.md
• Segment pain signals from 04.segments.md
• Beliefs about problems from 01.context.md (if exists)

Step 2: List Problem Hypotheses

For the primary segment, identify candidate problems:

• What pain points emerged from research?
• What jobs-to-be-done are underserved?
• What workarounds exist (signals real pain)?
• What do they complain about?

Aim for 5-7 candidate problems to evaluate.

Step 3: Score Each Problem

Frequency (1-5):

Intensity (1-5):

Willingness to Pay (1-5):

Calculate Severity:

Severity Score = Frequency × Intensity × WTP (max 125)

Step 4: Gather Evidence

For each problem, document evidence:

Strong Evidence (prioritize):

• Customer interview quotes
• Job postings for roles addressing this problem
• Competitor funding rounds (market validation)
• Industry reports citing this problem

Moderate Evidence:

• Survey responses (n>30)
• Review site complaints
• Forum discussions
• Search volume trends

Weak Evidence (flag uncertainty):

• Founder intuition
• Secondary research only
• Analogies from other markets

Step 5: Identify Current Solutions

For each problem, document:

• Existing alternatives: What do they use now?
• Workarounds: Manual processes, spreadsheets
• Shortcomings: Why current solutions fail

This informs differentiation opportunity.

Step 6: Apply JTBD Frame

Convert top problems to Jobs-to-be-Done:

When [situation/​trigger],
I want to [motivation/​action],
So I can [expected outcome].

JTBD focuses on outcome, not solution — keeps problem definition clean.

Step 7: Rank and Select

Rank by Severity Score. Select:

• Top 3 for solution design (05.problem.md)
• #4-5 as expansion opportunities

Step 8: Write Output

Write to strategy/​canvas/​05.problem.md using output format below.

Output Format

# 05. Problems

## Primary Segment
[From 04.segments — who has these problems]

## Problem Stack (Ranked by Severity)

### Problem 1: [Name]

**JTBD:** When [situation], I want to [action], so I can [outcome].

**Severity Score:** [X]/​125

| Dimension | Score | Evidence |
|-----------|-------|----------|
| Frequency | [1-5] | [How often, evidence] |
| Intensity | [1-5] | [How painful, evidence] |
| WTP | [1-5] | [Budget signals, evidence] |

**Current Solutions:**
| Alternative | How Used | Why Inadequate |
|-------------|----------|----------------|
| [Alt 1] | [Usage] | [Limitation] |
| [Alt 2] | [Usage] | [Limitation] |

**Root Cause:** [Why this problem exists]

**Cost of Problem:** $[X]/[period] — [calculation basis]

---

### Problem 2: [Name]

[Same structure]

---

### Problem 3: [Name]

[Same structure]

---

## Problem Validation Status

| Problem | Evidence Type | Confidence | Next Step |
|---------|---------------|------------|-----------|
| P1: [Name] | [Interview/​Survey/​Research] | High/​Med/​Low | [Action] |
| P2: [Name] | [Type] | [Level] | [Action] |
| P3: [Name] | [Type] | [Level] | [Action] |

## Problems NOT Prioritized

| Problem | Severity | Why Deprioritized |
|---------|----------|-------------------|
| [P4] | [Score] | [Reason] |
| [P5] | [Score] | [Reason] |

Quality Criteria

Before finalizing, verify:

• Exactly 3 problems in final ranking
• Each has all three scores with evidence
• Evidence cited (not just scores)
• Current alternatives documented
• JTBD statement for each
• Problems anchored to specific segment
• Cost of problem quantified where possible

Interview Questions

For customer discovery:

Red Flags (Problem May Be Weak)

Green Flags (Problem Is Real)

Boundaries

• Does NOT validate solution fit (separate concern)
• Does NOT assess market size for problem (see fnd.r-sizing-markets)
• Does NOT interview customers (provides framework for interviews)
• Problem scores are hypotheses until validated with customers
• Requires segment context — generic problems are not actionable
• Does NOT prioritize based on ease of solution (that's Solution Design)
• Evidence quality matters — flag low-confidence scores