The Scenario
You're a UX researcher. Five user interviews are sitting in Granola from the past week — each one an hour long, each one full of quotes your design team needs to synthesize. The design lead asked you this morning to share the transcripts so the team can do affinity mapping in Notion. Your research ops person who normally handles this is out sick.
You've never exported transcripts from Granola before. You open the interface and realize there's no bulk export. There's a copy button on each meeting, but no way to get five transcripts into five tabs of a Google Sheet without opening each one separately.
The bad version:
- Open the first Granola meeting, scroll to the transcript section, select all the text, copy it, switch to the Google Sheet, create a new tab, click into cell A1, paste.
- Realize the pasted text came in as one enormous blob with no line breaks — go back into the meeting, try a different copy method, repeat.
- Do this four more times across the remaining interviews, then spend 20 minutes reformatting the layout so the design team can actually read it.
The design lead's synthesis session is this afternoon. You're the bottleneck.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, connects to Granola through its built-in MCP integration, and pulls verbatim transcripts into your sheet structure — one row per meeting, or one tab per meeting — based on what you ask for.
Fetch the full verbatim transcript for each Granola meeting ID listed in column A of the 'Transcripts' sheet and paste the transcript text into column B — one row per meeting, preserving paragraph breaks as line breaks within the cell.
What You Get
- Column A: Granola meeting IDs as you provided them
- Column B: the full verbatim transcript for each meeting, pasted into the cell with paragraph structure preserved
- Any meeting where Granola returns a transcript-unavailable error gets a note in column B indicating the failure — no silent skips
- Line breaks within the transcript appear as in-cell line breaks, so the text is readable without expanding the cell
What If the Data Is Not Quite Ready
You want each transcript in its own tab instead of stacked in a single sheet
For each Granola meeting ID in column A of 'Transcripts', create a new sheet tab named with the meeting title from column B. Paste the full verbatim transcript for that meeting into cell A1 of its tab, with each speaker turn on a new row: speaker name in column A, their text in column B.
The meeting IDs in column A were copied from Granola URLs and have extra path segments
For each value in column A of 'Transcripts', strip everything except the alphanumeric meeting ID (removing URL path prefixes and query strings). Then use the cleaned IDs to fetch the Granola transcripts and write them into column B.
You need to split the transcript by speaker turn to make affinity mapping easier
Re-fetch the Granola transcript for the meeting in row 2 and rewrite the transcript into separate rows: speaker name in column C, timestamp in column D, and the speaker's words in column E. Start from row 2, one row per speaker turn.
Full fetch + format + speaker attribution + synthesis-ready layout in one pass
Fetch the verbatim Granola transcript for each meeting ID in column A of 'Transcripts'. For each meeting, parse the transcript into speaker turns and write each turn as a separate row: meeting title in column A, meeting date in column B, speaker name in column C, transcript timestamp in column D, and the speaker's words in column E. Group all turns for each meeting together with a blank row between meetings. Sort by meeting date ascending.
One prompt takes you from a list of meeting IDs to a synthesis-ready multi-row transcript layout your design team can work in directly.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet where you're managing user research sessions, then give it a list of Granola meeting IDs and ask it to pull the full verbatim transcripts into structured rows by speaker turn. For the action-item and summary logging version, see the meeting log spoke, or return to the Granola MCP overview.