AI Research Interview Transcripts
Transcribe and anonymize research interviews, returning a clean, speaker-labeled document.
$75–$5,000+
$0–$200
3–10 hrs/week
1–3 weeks
4 / 10
Very High
Overview
Qualitative researchers generate hours of recorded interviews that need turning into clean, speaker-labeled, properly anonymized documents before analysis can even start — AI (Whisper) handles the first-pass transcription, but removing errors while preserving exactly who said what, and respecting confidentiality agreements, is the actual paid service. A low-cost entry point (from $75/mo) for researchers, consultants and agencies who'd rather not do this manually between real interviews.
Why it works
Turning hours of recorded interviews into clean, speaker-labeled documents is genuinely laborious, and AI can drastically reduce the first-pass transcription time. What still needs a human: removing errors while preserving exactly who said what, and respecting whatever confidentiality agreement the interviews were conducted under.
How it makes money
Per deliverable + retainer
How to start
- Learn transcription and anonymization practices — what needs redacting and what's safe to keep.
- Create a transcript template with speaker labels and timestamps consistently applied.
- Process one sample interview end to end to calibrate turnaround time and quality.
- Show the cleaned transcript and any coded themes as separate deliverables, not mixed together.
- Contact researchers and consultants who conduct interviews as part of their own client work.
- Sell a small batch (3-5 interviews) before committing to a standing arrangement.
- Transcribe using Whisper as a first pass, since raw audio-to-text still needs cleanup.
- Remove obvious transcription errors and filler without altering what was actually said.
- Preserve speaker labels accurately — misattributed quotes undermine the whole research output.
- Deliver securely, respecting any confidentiality agreement the interviews were conducted under.
- Offer recurring research support as the client's interview volume continues.
Tags
- transcription
- research
- interviews
- qualitative-research
- data
Last verified 2026-08-22
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