Knowledge Elicitation Techniques
Explore a curated, community-driven collection of knowledge elicitation techniques with a focus on human-AI collaboration and scenario-based filtering
Found 10 matching techniques
Contextual Inquiry
The contextual inquiry technique is a systematic study of people, tasks, procedures, and environments in their natural workplaces to inform user-centered design and strategy.
Critical Incident Strategy (CIS)
The critical incident strategy (CIS) is a knowledge elicitation method that captures expert knowledge by analyzing significant, real-world events where decisions significantly impacted outcomes.
Information Flow Methodology (IFM) v0.6
The Information Flow Methodology (IFM) is a structured method used to describe and analyze decision-making within socio-technical systems by modeling decisions as the transformation of information.
Interruption Analysis
A technique that examines how experts handle interruptions during task performance to uncover implicit priorities and decision strategies.
Joint Interactive Modeling with (c)DMN
The technique is a collaborative method where knowledge engineers and domain experts work together to create a shared domain model, which is then iteratively validated through evolutionary prototyping.
Role Play
A simulated interaction technique where the expert acts out roles in a scenario to reveal decision-making and tacit knowledge.
Talk-aloud
A verbal protocol technique where experts describe their actions and thoughts as they perform a task, often with more explanation than pure think-aloud.
Teachback
A technique where the expert teaches the elicitor how to perform a task, revealing underlying knowledge through explanation and demonstration.
Think-aloud
A verbalization technique where experts articulate their thoughts in real time while performing a task.
Twenty Questions
A structured interviewing technique where the analyst incrementally narrows down an expert’s knowledge by asking a sequence of yes/no questions.
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