Nod for researchers

Forty interviews. One question.

The material is all there — in recordings you will never have time to listen to twice, in notes you took while trying to stay present, in a supervision you half remember. Nod captures each session from your Mac's own audio, without a bot in the room, and turns the whole corpus into something you can question in the participant's own words rather than your summary of them.

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14-day free trial, no card. macOS only.

  • Every participant who mentioned a theme, with the quote
  • What your supervisor actually asked you to change
  • The lecture, as notes you can search a term later
  • What contradicts the finding you are about to write up

  • For qualitative researchers

    “Which participants mentioned trust?”

    Ask across every interview at once and get their words back, not your coding of them.

  • For academics

    “What did my supervisor ask me to change?”

    Supervisions produce a long list of small corrections. Keep them where you can find them at writing-up time.

  • For students

    “What were the three main arguments in that lecture?”

    Listen to the lecture instead of transcribing it, and get the structure back afterwards.

Ask it the way you'd say it.

  • Which participants mentioned trust?
  • What did my supervisor ask me to change?
  • What were the three main arguments in that lecture?
  • Which participants talked about trust?

A day with Nod

Four moments where the notes would otherwise be on you.

  1. 10:00Participant interview

    Be present instead of taking notes.

    • Their words captured exactly, not paraphrased
    • Nothing joins the call to make them self-conscious
    • Fourteen languages, following the one being spoken
  2. 12:30Supervision

    The corrections, kept in one place.

    • What to change, and the reasoning behind it
    • What was agreed about scope and timeline
    • Still legible three supervisions later
  3. 14:00Lecture or seminar

    Notes you did not write.

    • The argument structure, not a wall of text
    • Searchable by term when you come back to it
    • Works for a recorded talk playing on your Mac
  4. 17:00Ask Nod

    Question the whole corpus at once.

    • “Which participants talked about trust?”
    • “What did anyone say that contradicts this?”
    • Answers with the session each quote came from

Ask Nod

Ask across every interview, not one at a time

A single transcript is a document. Forty of them are a dataset you cannot hold in your head. Nod lets you put a question to all of them at once and answers with the sessions the answer came from, so a theme you think you are seeing can be checked against what was actually said before it reaches a paper.

Research memory

The material gets more useful as it grows

Most tools give you the same value at interview forty as at interview one: a transcript. Nod's value compounds, because each session widens what the corpus can answer — including the awkward question of what in your own material disagrees with the finding you are writing.

Action items

Supervision corrections that survive the walk home

An hour of supervision produces a dozen specific changes, and you will remember four. Nod pulls out the ones addressed to you — what to revise, what to read, what to send — so the list exists when you sit down to write rather than when your supervisor asks.

Participant confidentiality, taken seriously

Interview material is often given under a consent form that says exactly where it may go. Nod holds it privately, trains nothing on it, and keeps no audio at all. Nod captures the audio your Mac is already playing, through native macOS APIs, so nothing dials into the call and nothing shows up in the participant list. Each segment goes through a European proxy to a hosted transcription service under Zero Data Retention, and is discarded the second the text comes back. No audio is stored at either end. Only the transcript and the summary are kept, encrypted at rest in the EU, and nothing is used to train a model. The full detail is on the security page.

  • No audio stored, at Nod or at the transcription service
  • No model trained on your material, by us or our subprocessors
  • Notes encrypted at rest in the EU (AWS eu-west-1)
  • Export or delete any session, or the whole account, from the app

You pay for the interview twice.

You pay once when you run it, and again when you listen back to find the four minutes that mattered. The second cost is the one that decides how much material you can actually use.

Frequently asked questions

  • Does this satisfy my ethics approval?

    That is your committee's decision, not ours — but the facts they will ask for are these: audio is never stored, transcripts and summaries are encrypted at rest in the EU, no model is trained on your material, and nothing is shared unless you create a link yourself. The detail is on the security page. No bot doesn't mean no consent. Recording law varies by country and by state, and some of it asks everyone on the call to agree — so tell people you're taking notes. See recording consent laws.

  • Does a bot join the interview?

    No. Nod captures your Mac's system audio, so nothing appears in the participant list and no recording banner fires — which matters when a visible recorder is the thing that makes an interviewee careful.

  • Does it work for in-person interviews?

    Yes. Nod can capture your Mac's microphone as well as its system audio, so a conversation happening in the room works the same as a video call. It is macOS only.

  • Which languages does it handle?

    Fourteen, and it follows the language the session is held in rather than translating it: English, Mandarin, Hindi, Spanish, French, Arabic, Bengali, Portuguese, Russian, Urdu, German, Italian, Ukrainian and Serbian.

Less transcribing. More thinking.

  1. 1

    Download

    One Mac app. Sign in with any Google account.

  2. 2

    Record

    Interviews, supervisions, lectures. Nothing joins the call.

  3. 3

    Ask

    Put one question to the whole corpus and check its sources.

Related

Running user research inside a product team? See Nod for product managers. For the general tool, start at the AI meeting assistant, or read about meeting transcription.

Nod is also built for founders, sales, product managers, and recruiters.

Useful on day one. Hard to work without by month three.

Start free on macOS, no card. Every conversation you capture today is one you can still ask about a year from now.

Download for macOS