MARKET RESEARCH
Cross-Competitor Theme Divergence Board in Airtable
After each season, scores how every watchlist competitor weighted a shared set of strategic themes and writes a theme-by-company matrix into Airtable.
How it runs
The automated pipeline, trigger to output.
- TriggerPost-season schedule fires
- ActionScrape latest transcript per competitorFirecrawl
- ActionScore each transcript against shared theme taxonomyOpenAI
- LogicCompute group averages and flag divergence
- OutputWrite theme-by-company matrix to AirtableAirtable
What it does
Maps the competitive field onto a single grid. For a fixed taxonomy of strategic themes, it scores how much emphasis each watched competitor placed on each theme this quarter, then builds a theme-by-company matrix in Airtable. Cells where a company breaks from the group consensus are flagged so outliers and contrarian bets jump out immediately.
When to use it
Use it when you want positioning at a glance — who is leaning into a theme everyone else is ignoring, or who quietly dropped a priority the rest still push. Useful for strategy offline reviews and board prep where a visual matrix beats prose.
How it works
- 1A schedule fires after the quarter's calls are out.
- 2Firecrawl scrapes the latest transcript for every company on the watchlist.
- 3OpenAI scores each transcript against the shared theme taxonomy, returning a normalized 0-100 weight per theme.
- 4A logic step computes the per-theme group average and marks each company's deviation as outlier or in-line.
- 5The flow writes the full theme-by-company matrix to Airtable, with divergence flags on the standout cells.
Set it up
What you configure once, before turning it on.
- 1Connect FirecrawlCrawl, scrape, structured extract.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect AirtableBases, tables, views, automations.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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