For researchers

Participants
do not get joined by a bot.

Mac Note Taker records the user interview on the Mac running the call. Transcription is on-device. Diarization labels the moderator and the participant cleanly. The transcript is yours, in Markdown, ready for tagging.

The problem

Why researchers cannot use a generic cloud notetaker.

Research consent forms typically promise the participant that their recording will be handled by you and your team, not by an unannounced third party. A bot from a SaaS notetaker showing up in the call breaks that promise. Worse, if the participant is a healthcare worker, a minor, or anyone under GDPR, the cloud upload is a new legal headache.

  • Consent forms rarely list the cloud notetaker as a data processor. Now they have to.
  • Recruited participants drop off when they see a bot in the join queue.
  • Cloud notetaker pricing is per-seat; one-off freelance researchers pay for unused capacity.
  • Research repositories like Dovetail or Notably want the transcript file, not a vendor link.

What this means for researchers

A transcript pipeline that matches the consent form.

Participant only sees you

System audio capture means there is no bot in the join queue. The participant is talking to a moderator, not a notetaker.

Clean diarization

Moderator and participant tracks separated automatically. Voice fingerprints recognize the same participant across follow-up sessions.

Repository-ready exports

Markdown, JSON, SRT, plain text. Drop straight into Dovetail, Notably, Reduct, or a shared drive.

Easier consent story

Your consent form names you and your team. Mac Note Taker is a tool on your Mac, not a new processor in the chain.

In practice

What researchers use it for.

User interviews

  • Both sides captured cleanly, no bot in the call.
  • Speaker labels mapped to Moderator / Participant by hand.
  • Markdown export drops into Dovetail or Notably for tagging.

Diary + longitudinal studies

  • Same participant across multiple sessions, recognized by voice fingerprint.
  • Local storage means a multi-week study does not balloon a cloud bill.
  • Audio can be deleted per session, transcripts kept for analysis.

Internal stakeholder interviews

  • Long, multi-speaker rounds diarized cleanly.
  • Action items per stakeholder so the synthesis is faster.
  • 5-bullet summary helps draft the readout deck.

Side by side

Cloud notetaker vs Mac Note Taker for UX research.

ConcernCloud notetakerMac Note Taker
Bot visible to participantYesNo
Audio in vendor cloudYesNo - on your Mac
New processor on consent formYesNo
Export to research repo (Dovetail, etc)Sometimes via integrationMarkdown / JSON / SRT, by hand
Pricing$15-30 / user / month$149 lifetime, 3 Macs

A research recorder that matches the consent form.

$149 lifetime - 3 Macs - first 100 buyers use code FOUDNER for $79.

User interview transcripts on Mac - Mac Note Taker for researchers · Mac Note Taker