conducting-buyout-commercial-diligence
Structures CDD with market sizing, customer concentration, competitive dynamics, and growth sustainability analysis. Use when conducting commercial DD, validating market assumptions, or assessing revenue durability.
Best use case
conducting-buyout-commercial-diligence is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Structures CDD with market sizing, customer concentration, competitive dynamics, and growth sustainability analysis. Use when conducting commercial DD, validating market assumptions, or assessing revenue durability.
Teams using conducting-buyout-commercial-diligence 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/conducting-buyout-commercial-diligence/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How conducting-buyout-commercial-diligence Compares
| Feature / Agent | conducting-buyout-commercial-diligence | 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?
Structures CDD with market sizing, customer concentration, competitive dynamics, and growth sustainability analysis. Use when conducting commercial DD, validating market assumptions, or assessing revenue durability.
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.
Related Guides
SKILL.md Source
# Conducting Buyout Commercial Diligence Commercial due diligence (CDD) validates the revenue thesis behind a buyout by stress-testing market size, customer durability, competitive positioning, and organic growth assumptions. This skill structures CDD into discrete workstreams that map directly to the investment committee memo. ## When To Use - Pre-LOI screening when the deal team needs a quick market landscape read before committing resources - Confirmatory CDD post-LOI, typically during a 30–60 day exclusivity window - Validating management projections against independent market data before IC approval - Assessing add-on acquisition targets where commercial overlap or white-space expansion matters - Growth equity investments where revenue sustainability replaces asset coverage as the primary underwrite ## Inputs To Gather - **Company materials**: CIM, management presentations, historical financials (3–5 years), customer lists with revenue by account - **Market data**: Industry reports (IBISWorld, Gartner, Frost & Sullivan), trade association publications, public comp filings [VERIFY availability for niche verticals] - **Customer intelligence**: Win/loss logs, NPS or churn data, contract terms (duration, auto-renewal, escalators), top-20 customer interview notes - **Competitive landscape**: Competitor pricing, product feature matrices, market share estimates, recent M&A in the sector - **Management access**: Calls or Q&A sessions with CEO, VP Sales, and VP Product to probe assumptions behind the hockey-stick forecast ## Workflow ### 1. Define TAM/SAM/SOM and Market Growth - Build a top-down TAM using industry reports, then cross-check with a bottom-up build (unit count x ASP, or customer count x ARPU) - Identify the served addressable market (SAM) by filtering for geography, customer segment, and product applicability - Estimate the target's obtainable market (SOM) given current share and realistic penetration assumptions - Quantify market growth drivers (secular tailwinds, regulatory catalysts, technology adoption curves) and headwinds (commoditization, substitution risk) - Flag any market sizing discrepancy >15% between top-down and bottom-up as requiring reconciliation before IC ### 2. Analyze Customer Concentration and Revenue Durability - Calculate top-1, top-5, top-10, and top-20 customer revenue concentration percentages - Assess contract structure: recurring vs. non-recurring split, weighted-average contract length, renewal rates, and churn cohort analysis - Evaluate net revenue retention (NRR) by vintage — distinguish between logo churn and dollar churn - Identify switching costs: integration depth, workflow dependency, data lock-in, retraining burden - Score customer health using a tiered framework (green / yellow / red) based on tenure, growth trend, and relationship depth - [VERIFY] Whether customer interview sample size (typically 15–25 accounts representing 40–60% of revenue) is achievable within the diligence timeline ### 3. Map Competitive Dynamics - Identify direct competitors by tier (scaled incumbents, mid-market peers, emerging disruptors) - Build a competitive positioning matrix across price, product breadth, service quality, and geographic reach - Assess barriers to entry: regulatory licenses, capital intensity, network effects, proprietary data or IP - Evaluate pricing power by analyzing historical price increases vs. volume growth and gross margin trends - Document recent competitive moves: fundraises, product launches, geographic expansion, or exits ### 4. Stress-Test Growth Sustainability - Decompose historical revenue growth into volume, price, mix, and acquisition components - Benchmark organic growth against market growth to determine share gain or loss trajectory - Evaluate the sales pipeline: coverage ratio, conversion rates, average sales cycle length, and quota attainment distribution - Assess expansion levers: cross-sell penetration, upsell attach rates, new product roadmap credibility, geographic whitespace - Model downside scenarios: loss of top customer, market growth deceleration by 200–300 bps, or competitive price compression of 10–15% - Triangulate management's base case projections against independent findings — flag gaps exceeding 10% CAGR variance ### 5. Synthesize and Deliver CDD Report - Produce an executive summary (2–3 pages) with go/no-go recommendation and key risk callouts - Organize detailed findings by workstream with supporting exhibits (market maps, concentration charts, competitive grids) - Include a "Key Assumptions and Risks" table linking each growth driver to its evidence base and confidence level - Append a data room index referencing source documents for every material claim ## Output The final CDD report should contain: - **Executive summary** with investment thesis validation or challenge, top 3 opportunities, and top 3 risks - **Market overview** with TAM/SAM/SOM framework, growth rate substantiation, and key driver analysis - **Customer analysis** with concentration tables, cohort retention curves, and customer health scorecard - **Competitive landscape** with positioning matrix, barrier-to-entry assessment, and pricing power evaluation - **Growth bridge** decomposing forward projections into organic components with probability-weighted scenarios - **Appendices** with methodology notes, data sources, interview summaries, and sensitivity tables ## Quality Checks - Every market size figure must cite a primary source or clearly state the derivation methodology - Customer concentration metrics must reconcile to the audited revenue figures within 2% tolerance - Competitive claims must be sourced — no unattributed assertions about competitor market share or strategy - Growth projections must include at least a base, upside, and downside scenario - All management representations used as inputs must be flagged as such and distinguished from independently verified data - [VERIFY] Jurisdiction-specific regulatory requirements that could affect market access or expansion assumptions - Final report must be reviewed against the original IC question set to confirm no gaps in coverage
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