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Interview prompts: limit transcript use to the study purpose

Last updated: 5 Oct 202611 min read
tutorial
AdvancedBy AITrove Editorial

A research transcript is not a general-purpose prompt asset. Record the study question, permitted uses, retention boundary, participant identity key, and any excluded material before sending an excerpt to a model. Remove names, contact details, and incidental third-party stories unless they are needed for the analysis and permitted by the study. A prompt should refuse a request to repurpose interview text for outreach or a different study without a fresh authorization check. The application, not the prose instruction alone, decides which records the analyst may access. Use stable pseudonymous participant IDs so later coding can be traced without spreading direct identifiers.

Operational case

A fictional Parcel Window study has 12 volunteers discussing pickup-window selection. Interview P-07 mentions a neighbor's phone number while describing a delivery problem. The analyst keeps the pickup timing excerpt but removes that unrelated number before model review. The study permits aggregate product analysis; a marketing request to create a contact list from the transcripts falls outside that purpose. The prompt returns a purpose mismatch and records that no participant text was exported for the new request.

Output
Study: Parcel Window pickup experience
Allowed: coded product findings from 12 interviews
P-07 excerpt: pickup window confusing; third-party number removed
Marketing contact extraction: purpose mismatch -> stop

Performance and review cost

Reviewing N excerpts for scope and identifying data takes O(N) passes, with a second human check for uncertain redactions. Keeping only needed segments lowers prompt size and exposure. The review is worth doing before analysis because a later summary cannot undo disclosure of an unnecessary phone number. Store the permission decision with the study record; never infer permission from the mere presence of a transcript file.

Common Mistakes

  • Do not treat access to a transcript as permission for every downstream use.
  • Do not leave incidental third-party identifiers in an analysis batch.
  • Do not let a prompt replace application-level access checks.

Connected lessons

prompt engineering
qualitative research
Storage details