Analyzing Market Size And Timing

SkillDev tools

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.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Analyzing Market Size And Timing skill

What this skill tells your AI

The instructions your AI receives, as published by casemark/skills in skills/capital/analyzing-market-size-and-timing/SKILL.md and read by ahel’s review.

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

Signals

GitHub stars
41
Forks
15
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
analyzing-market-size-and-timing
Source
github.com/casemark/skills