Granola for Researchers in 2026: AI Meeting Notes for Interviews, Focus Groups, and Academic Meetings

Research depends on capturing what people actually say — not your interpretation of it, not a paraphrase, not what you remembered an hour later. The closer your documentation is to the source material, the more defensible your analysis.

Granola gets you closer to the source.

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The Research Documentation Problem

Qualitative research is built on conversations. Interviews, focus groups, stakeholder sessions, advisory board meetings — each one generates data that needs to be captured accurately and completely. Manual note-taking forces a tradeoff: you either write everything down (and stop being a good interviewer) or you stay engaged (and lose half the data).

Transcription services help but add time and cost. Granola records, transcribes, and summarizes in near real-time — so you have searchable, structured data ready to analyze shortly after the session ends.

Research Interviews

The best interviews feel like conversations. The moment a participant sees you typing furiously, the dynamic shifts — they start editing themselves, thinking about what you're writing instead of what they actually want to say.

Granola lets you conduct the interview the way it should be conducted: eyes up, fully listening, following threads as they emerge. The transcript and summary are waiting for you when you close the meeting.

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Focus Groups

Focus groups are analytically complex. Multiple speakers, overlapping conversations, group dynamics that shift the discussion — capturing all of it accurately is difficult even with a dedicated note-taker in the room.

Granola handles multi-speaker transcription and produces a summary that captures both individual contributions and the arc of the group discussion. You get the data you need for thematic analysis without the reconstruction work.

Research Meetings

Lab meetings, advisor check-ins, IRB consultations, collaboration calls — academic researchers spend significant time in meetings that generate decisions, action items, and commitments that need to be tracked. Granola handles these the same way it handles any professional meeting: complete transcript, structured summary, action items surfaced.

When your advisor asks "what was the plan we agreed on?" in the next meeting, you have the answer.

Academic Collaboration

Cross-institutional research involves a lot of coordination calls with collaborators who are in different timezones, at different career stages, with different institutional constraints. Granola summaries make it easier to keep everyone aligned when you can share a structured record of what was discussed and decided after each call.

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Coding and Analysis

Qualitative coding is faster when you start from a clean transcript. Granola's transcripts are searchable and structured — you can grep for specific terms, filter by speaker, and pull quotes directly into your analysis without re-listening to recordings.

For researchers who use tools like NVivo, Atlas.ti, or even just spreadsheets for coding, having an accurate text source speeds up the entire analytical process.

IRB and Documentation Compliance

Research documentation requirements vary by institution and study type. Granola provides a searchable record of consent discussions, protocol deviations discussed in meetings, and IRB consultation calls. The transcript trail is there if you need it.

What Researchers Get Back

• After interviews: Complete transcript plus a summary of key themes and notable quotes
• After focus groups: Speaker-attributed transcript plus group dynamics summary
• After research meetings: Action items with owners and context, decisions documented
• After collaboration calls: Shared summary you can distribute to co-investigators

The goal isn't to replace researcher judgment — it's to give you cleaner raw material to apply that judgment to. When your data capture is reliable, your analysis can focus on the actual intellectual work.

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