evaluating-growth-stage-companies
Assesses scaling companies with product-market fit validation, unit economics maturity, and growth trajectory sustainability analysis. Use when evaluating growth-stage investments, analyzing scaling businesses, or assessing expansion readiness.
Best use case
evaluating-growth-stage-companies is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Assesses scaling companies with product-market fit validation, unit economics maturity, and growth trajectory sustainability analysis. Use when evaluating growth-stage investments, analyzing scaling businesses, or assessing expansion readiness.
Teams using evaluating-growth-stage-companies should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/evaluating-growth-stage-companies/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How evaluating-growth-stage-companies Compares
| Feature / Agent | evaluating-growth-stage-companies | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Assesses scaling companies with product-market fit validation, unit economics maturity, and growth trajectory sustainability analysis. Use when evaluating growth-stage investments, analyzing scaling businesses, or assessing expansion readiness.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Evaluating Growth Stage Companies ## When To Use - Evaluating a Series B+ company for growth equity or expansion capital investment - Assessing whether a scaling business has durable product-market fit or is riding a temporary wave - Benchmarking unit economics maturity before committing follow-on capital - Diligencing a company's growth trajectory ahead of a board presentation or investment committee memo - Comparing multiple growth-stage targets within a sector thesis ## Inputs To Gather - **Financial statements**: Last 3 years of P&L, balance sheet, and cash flow (monthly if available for last 12–18 months) - **Revenue detail**: Breakdown by product/segment, customer cohort, geography, and contract type (recurring vs. one-time) - **Customer data**: Cohort retention curves, logo churn, net revenue retention (NRR), CAC by channel, LTV calculations - **Operating metrics**: Headcount growth, quota attainment (for sales-led), pipeline coverage, burn multiple - **Cap table and funding history**: Prior rounds, dilution, investor rights, liquidation preferences - **Market context**: TAM/SAM/SOM estimates, competitive landscape, regulatory environment [VERIFY jurisdiction-specific regulatory constraints] - **Management materials**: Board decks, strategic plan, budget vs. actuals for prior periods ## Workflow 1. **Validate product-market fit signals** - Analyze NRR trends — target >120% for SaaS, >100% for non-SaaS recurring models - Review organic demand indicators: inbound pipeline share, word-of-mouth referral rate, negative churn cohorts - Assess customer concentration — flag if top 10 customers represent >30% of ARR - Check for PMF durability: is growth coming from expanding use cases or a single wedge product? 2. **Evaluate unit economics maturity** - Calculate fully-loaded CAC (include SDR costs, marketing attribution, onboarding) by channel and segment - Compute LTV/CAC ratio — benchmark >3x for healthy economics, investigate <2x - Analyze CAC payback period — <18 months for SaaS, adjust threshold by business model [VERIFY industry benchmarks] - Review gross margin trajectory — expanding margins signal operating leverage; flat/declining margins signal scaling problems - Assess contribution margin by cohort vintage to detect whether newer cohorts are more or less profitable 3. **Stress-test growth trajectory** - Decompose revenue growth into new logo acquisition, expansion, and churn components - Model forward growth under base, upside, and downside scenarios using bottom-up driver assumptions (pipeline, conversion, ASP, expansion rates) - Evaluate sales efficiency: net new ARR / S&M spend (magic number) — target >0.7x - Assess whether growth is capital-efficient: burn multiple (net burn / net new ARR) — target <2x - Identify growth ceiling risks: TAM exhaustion, channel saturation, competitive compression 4. **Assess organizational scalability** - Review management team depth — does the company have a CFO, VP Eng, and VP Sales, or is the founder still wearing multiple hats? - Analyze hiring velocity vs. revenue growth — headcount growing faster than revenue is a warning sign - Evaluate infrastructure readiness: technical debt burden, platform architecture, compliance posture - Check for key-person dependencies in sales, product, and engineering 5. **Benchmark and synthesize** - Compare key metrics (growth rate, NRR, gross margin, burn multiple, LTV/CAC) against a relevant peer set - Assign a maturity score across dimensions: PMF strength, unit economics, growth durability, team readiness, market position - Identify the 2–3 critical risks and the 2–3 key value drivers for the investment thesis ## Output Produce an **Evaluation Report** structured as follows: - **Executive summary**: One-paragraph investment thesis or pass rationale with key metrics highlighted - **PMF assessment**: Evidence for/against durable product-market fit, with cohort data and qualitative signals - **Unit economics scorecard**: Table of CAC, LTV, LTV/CAC, payback period, gross margin, and contribution margin — with trend arrows and peer benchmarks - **Growth trajectory analysis**: Historical decomposition, forward model scenarios, and key sensitivity drivers - **Organizational readiness**: Team gaps, scaling risks, and infrastructure assessment - **Risk matrix**: Top risks ranked by likelihood and impact, with proposed mitigants or diligence follow-ups - **Recommendation**: Proceed / Proceed with conditions / Pass — with clear rationale tied to findings ## Quality Checks - All financial metrics are sourced from company-provided data or third-party verification — no fabricated figures - Growth rates are calculated consistently (ARR vs. revenue, annualized vs. trailing) and methodology is stated - Cohort analysis uses at least 4 vintage cohorts to establish trend reliability - Every quantitative claim includes the source period and data source - Assumptions in forward models are explicitly listed and stress-tested in downside scenario - Peer benchmarks cite the comparables used and the data vintage [VERIFY that peer set is current] - Flag any metric where company-provided data could not be independently validated with [VERIFY] - Recommendation is supported by the analysis — no conclusion introduced without prior evidence in the report