Opportunity Scorer Skill
When to activate
Before any deep research on a company. Run this first to determine thesis fit and research depth.
When NOT to use
- Company already in portfolio
- Incomplete company data (name + stage + industry required)
- Founder or investor already known through network
Instructions
- Collect company name, industry, stage, founding date, geography
- Gather founding team background (LinkedIn, Crunchbase)
- Identify revenue status and key metrics if available (ARR, MRR, funding history)
- Score against four dimensions:
- Founder/Team: Prior exits, domain experience, cofounder + team strength (0–25 pts)
- Market Opportunity: TAM size, market growth rate, competitive position (0–25 pts)
- Financial Health: Revenue status, unit economics clarity, burn profile (0–25 pts)
- Product Clarity: Differentiation, paying customers, retention signals (0–25 pts)
- Calculate total score (0–100)
- Return decision: GO (≥70), REVIEW (50–69), PASS (<50)
- Include dimension breakdown with scoring rationale
Example
Input: Stripe-like fintech, Series B, EU-based, 2 strong cofounders with prior exits, $3M ARR growing 20% MoM, clear payment moat
Output:
- Founder/Team: 24/25 (both had successful exits, strong execution track record)
- Market Opportunity: 24/25 (fintech payment market growing 15% CAGR, differentiated approach)
- Financial Health: 23/25 (ARR $3M with 20% growth, runway clear, unit economics positive)
- Product Clarity: 23/25 (clear differentiation in payment rails, customer traction evident)
Total Score: 94/100
Recommendation: GO — Meets thesis criteria across all dimensions. Recommend scheduling deep DD.
1---2name: opportunity-scorer3description: Opportunity Scorer Skill4---5# Opportunity Scorer Skill67## When to activate89Before any deep research on a company. Run this first to determine thesis fit and research depth.1011## When NOT to use1213- Company already in portfolio14- Incomplete company data (name + stage + industry required)15- Founder or investor already known through network1617## Instructions18191. Collect company name, industry, stage, founding date, geography202. Gather founding team background (LinkedIn, Crunchbase)213. Identify revenue status and key metrics if available (ARR, MRR, funding history)224. Score against four dimensions:23 - **Founder/Team:** Prior exits, domain experience, cofounder + team strength (0–25 pts)24 - **Market Opportunity:** TAM size, market growth rate, competitive position (0–25 pts)25 - **Financial Health:** Revenue status, unit economics clarity, burn profile (0–25 pts)26 - **Product Clarity:** Differentiation, paying customers, retention signals (0–25 pts)275. Calculate total score (0–100)286. Return decision: GO (≥70), REVIEW (50–69), PASS (<50)297. Include dimension breakdown with scoring rationale3031## Example3233**Input:** Stripe-like fintech, Series B, EU-based, 2 strong cofounders with prior exits, $3M ARR growing 20% MoM, clear payment moat3435**Output:**36- Founder/Team: 24/25 (both had successful exits, strong execution track record)37- Market Opportunity: 24/25 (fintech payment market growing 15% CAGR, differentiated approach)38- Financial Health: 23/25 (ARR $3M with 20% growth, runway clear, unit economics positive)39- Product Clarity: 23/25 (clear differentiation in payment rails, customer traction evident)4041**Total Score: 94/100**42**Recommendation: GO** — Meets thesis criteria across all dimensions. Recommend scheduling deep DD.
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