Granola: bring your own priorities into AI meeting notes

Meeting notes you can keep working with

Granola is an AI meeting notepad for interviews, project discussions and customer calls. It transcribes the conversation while letting you jot down points in an ordinary notepad, then uses both to organize the record. The problem is not only missing details: a long summary can still leave out what mattered to you.

This article focuses on its shared approach to note-taking. Your short notes express priorities, the transcript supplies context, and enhanced notes organize the material. You do not have to learn a separate prompting syntax first.

Confirm the recording arrangement and note your priorities during the meeting

Use a refund interview as a teaching example. Before starting, inform participants according to the team's requirements and check that the material is appropriate for this service. The data FAQ says notes and transcripts are stored in the cloud. Audio is used for transcription and then deleted, so there is no original-audio playback afterward. Having no bot join as a participant does not mean processing stays on the device.

Users must start recording; the app does not record meetings automatically. Once recording starts, there is no need to write every word. Short notes such as “refund conditions” or “duplicate payment” can express what matters to you while the transcript retains other discussion. Notes can be generated without your own writing, but adding priorities gives the process your direction.

Turn the meeting material into notes you can check

The AI-enhanced notes guide connects several stages:

1. Gather the inputs. The transcript, original notes and calendar information contribute to the result.
2. Generate enhanced notes. They are generated when the meeting's end is detected or recording is stopped manually. Also stop recording when the meeting ends to avoid transcribing later conversation. Original notes appear in black, distinguishable from enhanced content.
3. Check individual points. Use the magnifying glass beside relevant content to return to the transcript or original notes. For example, check whether “refund within seven days” came from the customer or from the note-taker's assumption.
4. Resolve remaining questions. Ask follow-up questions or edit the notes to separate confirmed rules from unresolved points.

Fluent text helps reading; source access gives checking a specific place to start. Without audio playback, rereading a misheard number cannot correct it. Confirmation with participants may still be necessary.

Return to the original material when your focus changes

Afterward, edit the result directly or change the original notes and enhance them again. If handling duplicate payments is the real priority, state that concern and check whether the new organization retains its supporting material.

The useful outcome is a record people can continue working from: confirmed refund conditions, supporting material and questions to follow up. Summary generation is an intermediate step. Leaving an unanswered question open is more valuable than having AI complete the paragraph with an unsupported conclusion.

Let a few notes express what matters to you

A general meeting summary may spread attention across the whole discussion, while participants have different priorities. A product manager may care why someone abandoned a flow; an operations colleague may need an answer to a refund question.

Granola accepts a familiar action—jotting down “refund conditions”—instead of asking for an elaborate instruction first. The short note both records a thought and directs the organization of the surrounding conversation. Its launch introduction explains that notes can still be generated without personal jottings; adding them expresses what you want to preserve.

The useful design idea is to let an existing action convey intent without a separate setup step. But intent is not evidence: “the customer does not want to pay” may be the note-taker's guess. Including it in a polished result does not turn it into the customer's statement.

Put “where did this come from?” beside the conclusion

Fluent summaries can be easy to read but expensive to check. If readers must open a transcript elsewhere and search for keywords, they may skip verification.

Granola places access to supporting material near the notes. In the refund example, a reader can ask whether the customer actually said “seven days” or whether the note-taker supplied that interpretation. Showing the source helps expose a discrepancy, but cannot prove the transcript was heard correctly. Without original-audio playback, uncertainty may still require confirmation with participants.

Distinguishing personal notes from enhanced text, while keeping relevant material nearby, supports judgment more effectively than an “AI-generated” label alone. The transferable idea is to preserve people's priorities and let organized conclusions lead back to specific evidence.