
Sauna pulls your engagement data from Sheets and Snowflake, drafts the findings deck, and writes the recommendation memo, citing every figure back to its source for your sign-off.
What it does
Sauna assembles a Google Slides deck from your analysis spreadsheet, one chart and headline per finding, each tied to the row it came from.
It drafts a one-page recommendation in Google Docs from your data and interview notes, separating evidence from your judgment.
Sauna reads transcribed stakeholder interviews in Drive and produces a themed synthesis with representative quotes and frequency counts.
When the source numbers in Snowflake change, it re-pulls them and flags which slides and memo lines need an update.
Put Sauna to work on this.
Get started for freeIn context
Sauna shows up where you already work — the web app, Slack, email, iMessage, and Superhuman. It reads what it needs, does the task, and comes back with the draft for your approval.
Try it
The literal prompt for this job. Open it in Sauna and it picks up from there.
“Take the engagement analysis in this Sheet and the interview notes in Drive, draft a findings deck with one chart per insight, and tie every number back to its source cell.”
Plugs into the tools you already run — and thousands more, or any MCP server.
Good to know
No. Every figure traces to a cell or query result, and it leaves a gap visible rather than guessing a value.
It follows the structure in your existing decks and memos; you confirm the analysis is sound before anything goes to the client.
Sauna reads only what you connect, and acts only after you approve. Your workspace and its memory are yours, not training data.
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