Market sizing without the guesswork
Public data sources (industry reports, SEC filings, census data, analyst estimates) are researched and structured into TAM/SAM/SOM models in Google Sheets with full citations in Notion.
Investor-ready TAM/SAM/SOM analysis with cited sources, built from public data in hours instead of weeks. Doe researches SEC filings, industry reports, and comparable datasets, then generates multiple sizing approaches in Google Sheets with full citations in Notion.
What changes
| Dimension | Before | With Doe |
|---|---|---|
| Source coverage | A handful of sources (what the analyst finds) | Broad crawl across public data sources |
| Citation quality | Inconsistent, sometimes missing | Every data point linked to source |
| Methodologies | Usually one approach | Top-down and bottom-up with triangulation |
| Confidence assessment | Implicit, unstated assumptions | Explicit confidence levels and sensitivity ranges |
How Doe conducts market sizing research
Doe collected data points from SEC filings, census data, publicly cited analyst estimates, competitor revenue proxies, and industry reports — each tagged with source and confidence level
Doe produced two TAM/SAM/SOM models with sensitivity ranges, documented assumptions, and triangulation between approaches — ready to drop into a pitch deck
Doe flagged 3 data points using proxy indicators and noted where direct data is unavailable, so you know exactly where the estimates are soft
Doe tested how the TAM shifts under different growth rate and penetration assumptions, producing a defensible range rather than a single point estimate
Doe assembled a narrative report with methodology, source citations, confidence ratings, and an executive summary ready for your board deck
The question nobody has time to answer properly
The board wants a market sizing update for the annual strategy deck. The CEO needs TAM/SAM/SOM for the Series B pitch. The product team is evaluating a new vertical and needs to know if it's a $100M or $10B opportunity. Every one of these requests requires the same thing: weeks of research that nobody has time for.
Market sizing is a research-intensive, detail-oriented task that requires pulling data from dozens of sources: industry analyst reports (if you have access), SEC filings, census data, industry association publications, competitor revenue estimates, analyst blog posts, and job posting volumes as proxy indicators. Each data point needs to be extracted, validated, and cited. A credible market sizing analysis isn't a guess. It's a structured argument built on public evidence.
Get started in under 10 minutes
Connect your tools
One-click OAuth for each integration. No API keys, no engineering.
Describe what you need
“Size the North American AI-powered customer support market. Buyers are VP Support and CX leaders at mid-market SaaS companies. Give me top-down and bottom-up models with cited sources in Notion.”
It runs on schedule
Runs on demand and delivers the full report with citations to your workspace in hours.
Market Sizing Research FAQ
Doe prioritizes high-credibility sources (SEC filings, government data, major analyst firms) and flags lower-confidence data points. Every number includes a source citation and a confidence rating so you can assess the quality of each input.
Related workflows
Stop doing the work your tools should do for you.
Set it up once. Doe runs it every time.