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Expert knowledge capture

Turn an expert’s experience into guidance others can check

Your senior service engineer retires next quarter. Recordings preserve their words, but not every aside is an approved procedure. Capturing expertise means converting candidate knowledge into reviewed troubleshooting that newer technicians can retrieve and use.

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The task in this example

Capture the senior engineer’s knowledge about diagnosing cavitation.

Business goal
Manage risk
Business metric
Key-person risk

A transcript and an approved topic carry different authority

Both approaches use the same engineer’s interviews and walkthroughs. The difference is whether extracted guidance is structured, scoped, and reviewed before it enters the service corpus.

Interview remarks become searchable advice

Raw transcripts are indexed alongside approved procedures.

The copilot repeats an offhand remark that conflicts with the maintained diagnostic guidance.

Source
Interview transcript
Applicability
Unclear
Approval
Not established
The team has preserved words without establishing authority

Candidate knowledge becomes reviewed guidance

The engineer and a peer check structured cause/check/remedy topics.

The copilot retrieves the approved topic for the relevant pumps and symptoms.

Source
Reviewed topic linked to interview evidence
Applicability
Models and symptoms recorded
Approval
Engineer and peer recorded
Knowledge can be used beyond the original expert

Reduce dependence by checking coverage and use

Publishing a library is an intermediate result. The risk case depends on whether important cases are covered and other staff can resolve them using the reviewed guidance.

  1. Capture the important cases

    Prioritize situations currently referred to the expert.

    • Case coverage
  2. Approve usable guidance

    Check accuracy, scope, and diagnostic structure.

    • Matches reviewed guidance
  3. Transfer the work

    Observe newer technicians using it.

    • Escalations
    • Expert hours
Business metric

Key-person risk

Assess critical case types that still depend on one person, with coverage and demonstrated independent use recorded.

What to measure and how to interpret it

Agree on a prioritized case set with the expert and service team. Test answers and technician use against reviewed guidance rather than the raw transcript.

Case coverage
Share of prioritized case types with approved, applicable guidance.
Matches reviewed guidance
Share of sampled copilot answers consistent with the approved diagnostic topic.
Escalations
Cases requiring the retiring expert’s intervention, classified by missing guidance, ambiguity, or experience needed.
Expert hours
Expert effort spent capturing and reviewing knowledge, plus ongoing intervention after publication.

Check the business result

Track remaining single-person dependencies by case criticality. New-hire ramp time and first-time fixes are secondary outcomes to observe. Some judgment-intensive cases may appropriately remain specialist work.

Preserve provenance while changing the form

The interview is evidence for a candidate topic. The approved topic needs a diagnostic structure, applicable conditions, and accountable reviewers.

Service knowledge / Cavitation
Reviewed knowledge topic

Cavitation diagnostic guidance

Use the reviewed cause/check/remedy sequence for the identified pump and symptom.

Provenance
Interview and walkthrough references retained
Structure
Possible causes, confirming checks, approved remedies
Applicability
Curated pump and symptom identifiers
Review
Senior engineer and peer approvals
Maintenance
Named owner and review trigger

Intelligent content

Transform extracted remarks into self-contained troubleshooting and task topics with provenance and review state.

Taxonomy

Classify pumps, symptoms, alarms, and parts using the maintained service vocabulary; reviewers check suggested tags.

A practical starting point

Capture one common escalation and one difficult exception. Have a newer technician test the reviewed topics and note what still requires explanation.

The model extracts candidates. Experts and peers establish which guidance is accurate, applicable, and approved for use.

See how this scenario works
Lief
Lief
Amber
Amber
Dan
Dan
Explore the work with Intuitive Stack

Which service decisions still depend on one person?

Intuitive Stack can help structure captured expertise, preserve its provenance, and design a review path that turns interviews into maintained knowledge.

  • Priority cases and exceptions
  • Reviewed troubleshooting topics
  • Evidence of independent use