Turn an Expert Interview into a Useful AI-Assisted Guide

An expert interview may be the most useful input you have for an AI-assisted guide. Somewhere in your company, a specialist knows how to diagnose a real problem. The challenge is to preserve their judgment rather than turn the transcript into generic advice that already exists in a dozen other articles.

This guide covers the questions that produce usable material, a decision map to build before drafting, safe ways to use AI on a transcript and a structure that keeps one person's experience apart from general guidance.

Plan the expert interview around decisions, not definitions

Experts answer the question they are asked. Ask "what is your process?" and you get a tidy summary. Instead, ask about a specific occasion, and you get the details that make a guide worth reading.

• The last case: "Walk me through the last time this happened. What did you look at first?"
• The wrong turn: "What did you first think was the cause, and what showed you it was not?"
• The hand-off: "What would have made you stop and pass this to someone else?"
• The exception: "Is there a situation where your advice would be wrong?"
• The beginner mistake: "What do people new to this get wrong most often?"

The last two questions reveal the boundaries of the advice. Those are usually the most valuable part, and the part an AI summary is most likely to drop. Also note the exact wording of any answer that sounds like a rule.

Agree on consent before you record

Ask permission to record, and agree how you will use quotations and identifying details. Write the agreement down so the editor can check it later.

Then remove customer information that the explanation does not need before any material enters an AI tool. Sending a transcript to an external service may breach your agreement, so use an environment your organization has approved for that material.

Build a decision map before a draft

A decision map turns the conversation into a sequence a reader can follow. Build it before anyone writes prose.

1. Frame: extract the problem, starting conditions and desired outcome.
2. Sequence: list the diagnostic checks in the order the expert actually uses them.
3. Separate: split observed events from general recommendations.
4. Probe: mark unsupported generalizations and ask a follow-up question.
5. Confirm: send the outline and any proposed quotations back to the expert.

Remember that a cleaned transcript is not a verified case study. The expert may recall a result accurately while misremembering a date or a measurement.

Worked example: an indexing problem

In a hypothetical expert interview, an SEO specialist says, "We checked whether the page could be fetched before rewriting it." The article should explain the decision behind that: establish the page's technical state before blaming content quality.

However, do not expand it into "Rewriting never helps indexing." Instead, create a branch. If the page cannot be retrieved, investigate access and response behavior. If it can, keep examining indexing signals and content purpose.

Use AI on the transcript, carefully

A transcript is a good input for an assistant, within limits. These tasks work well because the editor can check every output against the recording.

1. Decisions: list every decision point with the expert's stated reason and the transcript line.
2. Claims: list every number, date, product name and platform claim so the editor can verify each one.
3. Corrections: identify contradictions or places where the expert corrected themselves.
4. Gaps: draft follow-up questions for anything implied but not explained.

By contrast, keep some tasks away from the assistant. Do not let it rewrite opinions more confidently, fill gaps with "typical practice" or generate quotations. A generated quote attributed to a real person is a fabrication, even when it sounds right.

Preserve the useful exceptions

Each type of transcript material needs its own editorial treatment. The table shows the most common cases.

In particular, a remembered percentage is a warning sign. Find the record behind it, or leave the number out.

Keep the case and the guidance distinct

Readers need to know which parts are one person's experience and which parts apply generally. This four-part structure keeps them apart without feeling clumsy.

Notice that the last section has two owners. The editor often spots limits that the expert took for granted.

Send the draft back to the expert

Make a specific request: confirm the facts, confirm the quotations and flag anything that now reads as a broader claim than intended. Experts often accept an overstated rule out of politeness, so ask directly whether they would defend each rule-like sentence.

Then ask a colleague who missed the expert interview to follow the guide. Their questions reveal knowledge the expert assumed but never explained. That test often adds more value than another round of AI rewriting.

A prompt for the first extraction

Once you have an approved transcript, this prompt produces a first decision map. Use it only with that transcript in place.

Use only this approved transcript. Extract diagnostic decisions, prerequisites, exceptions and unanswered questions. Preserve uncertainty. Do not invent quotes, outcomes or experiences. Propose a reader-focused outline for expert approval.

Check each extracted decision against the recording before you build the outline. Finally, credit the expert accurately and explain the role of the interview in the article.

Conclusion

A guide built from an expert interview is slower to produce than a rewritten transcript. Yet it is the kind of article that gets cited, because it contains judgment no model can generate from general knowledge.

Book a 30-minute call with one expert this month. Ask about their last real case, build the decision map with AI help and send the draft back for approval before you publish.