AI supports the assessment.It does not own the decision.
AI is most useful when its boundaries are clear.
At The Leapers, AI works inside a methodology defined by competencies, behavioral indicators, exercise context and human quality control.
It structures data, surfaces patterns and produces decision-support outputs that human experts can use.
- May play a role-play persona
- May act as a controlled information interface in Fact Finding
- Supports structured interaction
- Creates consistent digital participant experiences
It does not freely improvise beyond the intended assessment environment.
- Processes transcripts and written responses
- Structures evidence
- Matches evidence against defined indicators
- Supports BARS/BOS-based preliminary analysis
- Identifies patterns
- Supports report drafting
- Generates development-oriented insight
Every step operates within predefined competencies, indicators and scoring logic.
- Structure evidence
- Process transcripts
- Analyze defined behavioral content
- Identify predefined patterns
- Support cross-exercise evidence integration
- Support report drafting
- Support controlled role-play / fact-finding experiences
- Make the final hiring decision
- Independently decide promotion
- Decide who is “high potential”
- Freely infer personality
- Evaluate undefined behaviour
- Make high-impact conclusions from emotion alone
- Close final high-impact reports without human review
Six layers of trust, plus contextual adaptation
- Assessment target defined
- Competencies selected
- Indicators defined
- Exercise and scoring logic aligned
- AI works inside Behavioral Competency Architecture
- Not free-form interpretation
- AI operates within predefined scope
- Simulation access is controlled
- Undefined evidence is not freely interpreted
- Outputs can be connected to competencies and behaviour
- Reports produce insight, not unexplained scores
- Final expert review remains
- High-impact decisions are not fully automated
- Only relevant data is used
- Focus stays on evidence needed for the assessment
The methodological core remains stable, but the following can be customized:
- Competencies
- Indicators
- Role context
- Scenario
- Reporting emphasis
Data transparency
Written answers and transcripts.
Speech can be converted to text and analyzed within assessment context.
Paralinguistic / tone signals may support interpretation.
They must not independently determine an assessment result.
Video and facial-expression analysis are not active assessment data sources in the current methodology.
Emotion and tone are supporting signals only
Emotion, tone or paralinguistic signals alone do not produce an assessment result.
Primary evaluation remains based on content, behavioral patterns, competency indicators and exercise methodology.
Human oversight, by delivery model
A human assessor may observe the interaction directly.
A live assessor may not be present during participant interaction. But:
- Methodology is human-designed
- Behavioral boundaries are predefined
- Scoring / observation logic is predefined
- Final human review remains
Digital does not mean “fully autonomous”.
The methodological core remains consistent across all three:
- Behavioral architecture
- Structured evidence
- BARS/BOS where appropriate
- AI guardrails
- Human review
Operationalizing digital assessment with TAP
Parts of The Leapers' assessment methodology can be operationalized through TAP in digital and hybrid assessment environments.
- Digital exercises
- Evidence collection
- AI-supported analysis
- Structured reporting
- Assessment workflows
TAP is not The Leapers' internal platform, nor a sub-brand — and this methodology is not limited to working only with TAP.