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How to Write a Customer Research Brief With AI

By Staffmor Staff

Practical guides from the team building Staffmor.

To write a customer research brief with AI, decide what you need to decide, give it your labeled interview notes, and ask for findings that each cite the note they came from. A research brief turns what customers told you into a decision someone can make. The value is in the tracing: every claim points back to a real passage.

The example is a made-up bicycle workshop with three interview notes.

Pick the decision before you read the pile

The owner here is deciding one thing: what the booking page needs to explain. That is a question three interviews can inform. "How many people in town would book?" is a question they cannot.

The notes:

Interview A: Saturday suits them, but they could not tell where the class is held.
Interview B: asked whether tools are provided.
Interview C: cannot make Saturday and asked about another date.

What to give it

Label and date each note. Mark every passage as a direct quote, the interviewer's summary or your own interpretation, because those three get blurred fast in a report. Remove names and details the analysis doesn't need, and share only what your interviewees agreed to. Your AI provider receives the notes your agents read.

The request

The request: "Read interviews A to C and the current workshop page below. Recommend the next revision to the page. For each finding, cite the note and the exact passage that supports it. Separate things more than one person said from single requests. Return a one-page brief with what is still uncertain and what to ask next. Do not invent quotes or percentages."

What a good brief says

Make the location clear. A could not find it. Add the address and arrival instructions.
State the tools policy. B asked. Put the answer beside the booking button.
Look into the schedule. C asked for another date. That is one request, recorded as one request.
Still unknown: nothing here measures how many people will book.

The claim to reject

If the draft says "customers overwhelmingly want evening workshops," send it back. One person asked about another date. Three interviews can show you what confused people and what they asked about. They cannot show a majority of anything. Ask for the passage behind any sentence that sounds like a statistic.

Make the next round sharper

After you change the page, ask the next few people the same two questions: is the location clear, and does the tools line answer it? Asking the same way each time lets you compare answers. Keep the surprises in the brief too. A finding that doesn't fit your first theory is the one worth another interview.

Run it in your Staffmor office

Open the office on the computer running it with its Start Staffmor launcher. If you already have a paired web office, open it here. Paste this request and the source material into the conversation. Use your approved Codex connection, or ask your open Claude Code session to "Check Staffmor for work." A saved request is not a completed result. Review the answer or file when it comes back and reply with corrections. Ask for the evidence list first, then the brief, so you can check the tracing before anyone polishes the prose.

Staffmor reads what you give it and writes the brief. Finding and interviewing customers, with their consent, stays with you. New to Staffmor? Set up your office with Codex or Claude Code and an empty folder. Use your own supported AI account and approve the download, office activation and local folder/network access during setup. Claude Code pickup is manual; keep that local session open.