Turn Expert Interviews Into a Reliable AI Content System

An interview-derived editorial package for a practical business AI workflow, with steps, an acceptance test, and a reusable prompt.

By Dr. Connor Robertson · Published October 24, 2026 · Implementation playbook

Deliverable: An interview-derived editorial package. Use this playbook when your team needs a repeatable operating decision with evidence that another person can inspect.

The business situation

A recorded conversation explaining an operator’s approach to customer onboarding. This is an illustrative scenario, not a reported client result. Start with a small approved sample and the actual constraints of your team.

The operating approach

Start with the transcript and the expert’s actual examples. Extract decisions, constraints, and stories before choosing article formats. Confirm interpretations with the expert and preserve a link from each draft back to its source.

Build it step by step

  1. Confirm recording and publication permission.
  2. Mark transcript passages by theme and timestamp.
  3. Create one article outline and channel-specific derivatives.
  4. Have the expert verify quotations and interpretation before publication.

A concrete acceptance test

A speaker describes one client exception. The resulting article should not present it as a universal company policy. Link the passage and ask the expert to confirm the scope.

Record the input, expected behavior, actual result, reviewer, and version tested. Repeat this case after a prompt, source, model, or integration change. Include the cases that failed in the next regression run.

The mistake to avoid

Generating more derivative posts does not create more evidence. Keep each derivative tied to the original conversation.

A reusable working prompt

From this transcript, create a theme map with timestamps, an article outline, and three short post drafts. Preserve the speaker’s qualifications. Mark unclear quotes for confirmation.

Replace general descriptions with your approved process details. The prompt helps prepare an artifact; the process owner verifies the finished result before it changes a live workflow.

What to keep in the handoff

Save the accepted an interview-derived editorial package, its source versions, test evidence, unresolved questions, and a named owner. Set a review trigger tied to a meaningful business change, rather than leaving the pilot without maintenance.

Continue implementation

Explore AI Content Operations and Team Rollout or contact Dr. Connor Robertson about your business workflow.