analyzing-market-size-and-timing
Structures TAM/SAM/SOM analysis with bottom-up and top-down methodology and market timing assessment. Use when sizing markets, validating market opportunity, or assessing timing risk.
Best use case
analyzing-market-size-and-timing is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Structures TAM/SAM/SOM analysis with bottom-up and top-down methodology and market timing assessment. Use when sizing markets, validating market opportunity, or assessing timing risk.
Teams using analyzing-market-size-and-timing 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/analyzing-market-size-and-timing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analyzing-market-size-and-timing Compares
| Feature / Agent | analyzing-market-size-and-timing | 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 TAM/SAM/SOM analysis with bottom-up and top-down methodology and market timing assessment. Use when sizing markets, validating market opportunity, or assessing timing risk.
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.
SKILL.md Source
# Analyzing Market Size And Timing ## When To Use - Evaluating a startup's market opportunity during due diligence for seed or Series A investment - Validating founder claims about addressable market in a pitch deck or investment memo - Assessing whether market timing supports the investment thesis (too early, right window, too late) - Comparing market size across competing deals in the same vertical - Stress-testing SAM/SOM assumptions before presenting to an investment committee ## Inputs To Gather - **Company data**: product description, target customer profile, pricing model, current revenue/ARR if any - **Founder claims**: any TAM/SAM/SOM figures from the pitch deck or data room - **Industry reports**: analyst estimates from Gartner, IDC, PitchBook, CB Insights, or vertical-specific sources [VERIFY availability and recency of cited reports] - **Comparable companies**: public comps, recent exits, or late-stage private companies in the same market - **Regulatory/macro context**: relevant policy shifts, technology adoption curves, or demographic trends that affect timing - **Geographic scope**: whether the analysis is US-only, multi-market, or global ## Workflow 1. **Define the market boundary** - State the product category and end-user segment precisely (e.g., "cloud-based LIMS for contract research organizations," not "lab software") - Distinguish between the broader category (TAM) and the segment the company can realistically address (SAM) given its product, geography, and go-to-market 2. **Run top-down sizing** - Start with a credible industry-level revenue figure from an analyst report or public filing - Apply segmentation filters: geography, customer type, price tier, use case - Arrive at a top-down TAM and SAM; note every filter and its source 3. **Run bottom-up sizing** - Count addressable customer units (companies, users, transactions) from a primary or secondary data source - Multiply by realistic average revenue per unit based on the company's pricing or comparable pricing - Cross-check the bottom-up SAM against the top-down SAM; flag divergences greater than 2x 4. **Derive SOM (Serviceable Obtainable Market)** - Estimate realistic market share at 3-5 year horizon based on: competitive density, sales capacity, distribution advantages, switching costs - Anchor SOM to comparable company trajectories at similar stage — avoid assuming >5% share in a fragmented market without justification 5. **Assess market timing** - **Technology readiness**: Is the enabling technology mature enough for mainstream adoption, or still early-adopter phase? Reference adoption S-curve position - **Demand signals**: Customer pull (inbound interest, RFPs, organic search trends) vs. requiring heavy evangelism - **Regulatory tailwinds/headwinds**: Pending legislation, enforcement trends, or compliance deadlines that accelerate or delay adoption [VERIFY jurisdiction-specific regulatory timelines] - **Competitive window**: Are incumbents asleep, pivoting, or already building? Is the window opening, open, or closing? - Classify timing as: **Too Early** (market needs 3+ years of development), **Right Window** (demand inflecting, competition nascent), or **Late** (dominant players established, commoditization underway) 6. **Triangulate and stress-test** - Compare top-down, bottom-up, and founder-claimed figures side by side - Identify the weakest assumption in each approach and test sensitivity (e.g., halve the price assumption or customer count) - State a confidence-weighted range rather than a single point estimate ## Output Produce a structured market sizing memo with: - **Market definition**: one-paragraph boundary statement - **TAM / SAM / SOM table**: top-down and bottom-up figures side by side, with sources and key assumptions per line - **Timing assessment**: classification (Too Early / Right Window / Late) with 3-5 supporting data points - **Key assumptions log**: numbered list of every material assumption, flagged as high/medium/low confidence - **Risk factors**: what would invalidate the sizing (e.g., regulatory reversal, platform risk, technology substitute) - **Recommendation**: whether the market size and timing support the investment thesis, with caveats ## Quality Checks - TAM is not conflated with SAM — the segmentation step is explicit and sourced - Bottom-up and top-down approaches are both present; divergence is explained, not ignored - SOM is grounded in comparable company data, not aspirational percentages - Timing assessment includes at least one quantitative signal (search trends, adoption rates, regulatory deadline) rather than pure narrative - Every dollar figure has a cited source or is clearly labeled as an assumption - [VERIFY] tags are present for any statistic, regulation, or market figure that is date-sensitive or jurisdiction-dependent - No single data source accounts for more than 60% of the analysis — triangulation is required