Pain-Based Segment Evaluator Prompt

Purpose

This prompt helps evaluate pain-based market segments identified through research, calculating their economic potential and scoring their viability. It transforms qualitative pain analysis into quantifiable business opportunities.

Required Inputs

To evaluate pain-based segments, I need the following inputs:

• Average Contract Value (ACV) in $ for your solution
• Customer Acquisition Cost (CAC) in $ for your typical acquisition process
• Pain-based segment information from prior research
• Any specific constraints or assumptions you want to apply

Evaluation Process

I will analyze each identified pain-based segment and provide the following:

1. Segment ARR Forecast calculation
2. Conversion Rate assessment
3. Pain Intensity scoring
4. Sales Efficiency evaluation
5. Overall Segment Viability Score

For each segment, I will:

1. Extract key data points from your research
2. Apply the segment forecasting formula
3. Calculate economic potential
4. Assess implementation viability
5. Rank segments by opportunity

Scoring Methodology

I will use the following scoring scales and ranges:

Pain Intensity Ratio (0-1)

• 0.9-1.0: Critical/existential pain (severe regulatory/financial consequences)
• 0.7-0.8: Significant operational pain (major inefficiency/cost impact)
• 0.5-0.6: Moderate but persistent pain (ongoing friction/waste)
• 0.3-0.4: Minor but noticeable pain (irritation without major consequences)
• 0.1-0.2: Minimal pain (barely perceptible/easily worked around)

Conversion Rate (0-100%)

• 15-20%: High (pain is visible, solution cost << pain cost, easy implementation)
• 8-14%: Moderate (moderately visible pain, solution cost < pain cost)
• 5-7%: Low (low visibility pain, solution cost ≈ pain cost, complex implementation)
• 1-4%: Very low (hidden pain, expensive solution, high implementation effort)

Sales Efficiency Factor (0.5-1.5)

• 1.3-1.5: Excellent (ACV significantly exceeds CAC)
• 1.0-1.2: Good (ACV moderately exceeds CAC)
• 0.7-0.9: Fair (ACV slightly exceeds or equals CAC)
• 0.5-0.6: Poor (CAC exceeds ACV)

Overall Segment Viability (0-100)

• 80-100: Prime opportunity (immediate pursuit)
• 60-79: Strong opportunity (high priority)
• 40-59: Moderate opportunity (consider testing)
• 20-39: Weak opportunity (deprioritize)
• 0-19: Poor opportunity (avoid)

Assumptions

I will clearly state all assumptions made in the evaluation, including:

• Market penetration rates based on segment characteristics
• Implementation timeframes
• Competitive factors
• Scaling considerations
• Resource requirements

Sample Output Format

For each segment, I will provide:

## [Segment Name] Evaluation

### Segment Profile
- TAM: [Size of segment]
- Description: [Brief description of pain point]
- Existential Data Point: [Key metric/indicator]

### Scoring Factors
- Pain Intensity: [Score] - [Justification]
- Conversion Rate: [Score] - [Justification]
- Sales Efficiency: [Score] - [Justification]

### Economic Analysis
- Formula: [TAM] × [Pain Intensity] × [Conversion Rate] × [ACV] × [Sales Efficiency] = [ARR Potential]
- Current State Economics: [CAC analysis with current sales approach]
- Improved Economics: [Projected improvement with pain-based targeting]
- Payback Period: [Months to recover acquisition costs]

### Overall Viability Score: [Score]/100
[Brief explanation of score and recommendation]

### Key Assumptions
- [Assumption 1]
- [Assumption 2]
- [Assumption 3]

Final Ranking

After evaluating all segments, I will provide a ranked summary with:

1. Priority order for targeting
2. Relative economic potential
3. Implementation complexity
4. Resource requirements
5. Recommended next steps

What's Next?

I'll then recommend specific actions for your highest-potential segments, including:

• Messaging strategies
• Channel recommendations
• Testing approaches
• Required resources