Method

Tacitura operates through three layers:

  1. Elicitation — capturing tacit decision patterns

  2. Structuring — formalising knowledge into reusable forms

  3. Application — embedding into workflows and systems

The intent is to make expert judgement progressively more structured, repeatable, and scalable—without reducing its richness.

Diagram comparing before and after states, illustrating how the Tacitura method can complete a transformation of complex unstructured tacit information into structured data which can be used for business decisions and to get business insights.

Structured Interviews

Expert practitioners articulate decision-making and tacit knowledge through guided interviews

Signal Identification

Patterns and heuristics are identified from interviews

Artefact Generation

Patterns and heuristics are captured as artefacts in line with end-user objectives

Flowchart showing five steps: interview, document, signals, artefact, insight, with icons representing people talking, document, network, database, and circular arrows.

The approach is intended to progressively build structured representations of expert judgement that can be reused, adapted, and extended over time.

The major differentiation between this method and conventional knowledge management approaches, which rely on documentation, is focusing on the structured capture of judgement itself.