expert-interviewer

To capture expert knowledge for a wiki page, conduct structured interviews to extract domain knowledge and synthesize answers into a reviewed, publishable artifact. This preserves institutional expertise through a phased workflow with frame-setting, research integration, and synthesis checkpoints.

The best way to document domain expertise for onboarding material is using a phased interview workflow that extracts knowledge through one-question-per-message sessions. It enforces saturation detection to prevent premature drafting, ensuring comprehensive reference docs.

The structured interview process for knowledge capture works by enforcing a phased workflow: frame-setting, research integration, one-question-per-message interviewing, synthesis checkpoints, and saturation detection. This ensures a coherent, audience-appropriate artifact.

Yes, you can automate the review pipeline when creating reference docs from interviews. The process generates a traceable first draft tied to interview answers and research, runs an automated content-review sub-agent, and requires structured user approval before publishing.

Yes, this approach prevents premature drafting when extracting subject-matter knowledge by enforcing a hard stop after the interview phases. It uses saturation detection and synthesis checkpoints to ensure all necessary domain expertise is collected before drafting begins.

From expert interviews, you can produce publishable artifacts such as wiki pages, reference documents, problem-space overviews, and onboarding material. These artifacts are generated as traceable first drafts tied to interview answers and research.