How the System Really Works Digital Twin
A series of articles on the methodology for measuring human skills through interviews: the competency model underlying it, what is considered behavioral evidence, how we validate the assessment against human-administered evaluations, privacy and oversight decisions built into the design, and how the whole system integrates with the actual system.
Series
01 · Methodology
Competency Model
18 competencies across four areas and 108 behavioral scenarios. Why was a functional taxonomy chosen instead of a personality model, what does the description of competencies include, and why was it necessary to separate the competencies “Empathy” and “Active Listening”?
Read02 · Methodology
How Does Behavior Become Evidence?
What the algorithm considers evidence of competence, and what it does not. The quality of the evidence, the behaviors that determine the outcome, why the confidence level is stated explicitly, and why we never calculate an average.
Read03 · Verification in progress
Comparison with Expert Ratings
The study design, published prior to the announcement of the results: the same scenario featuring an AI-based avatar and a real actor, evaluated by independent reviewers. This is what we intend to test, and it has not yet taken place.
Read04 · Project Framework
Privacy, Bias, and Human Error
What an evaluation may take into account, the four vectors of bias that guide our actions, the requirement that every evaluation include a quote from the transcript, and the stages in which a person participates in the process.
Read05 · Technical Note
Technical Architecture and Integration
For those who need to approve this: the engine is separated from the interface and storage, which crosses the boundary between them; immutable profile versioning; and what the system intentionally never logs.
ReadThe model in numbers
Grouped into four behavioural domains, each with its own definition and boundaries.
Metaskills competency model, 2026 (internal methodology note).
Each one described across four levels of mastery.
Metaskills competency model, 2026 (internal methodology note).
Every scenario is tagged with the goal of the conversation, not only its topic.
Metaskills competency model, 2026 (internal methodology note).
The profile states how much evidence stands behind each competency, including when there is not enough.
Metaskills assessment methodology, 2026 (internal methodology note).
What we publish and what stays internal
At what stage we are
Related evidence
Usability of avatar-based VR training
Forty-seven participants rated the training experience: usability, instruction clarity, avatar quality and workload.
Usability of avatar-based VR trainingHealthcare pilots in Spain
What it takes to deploy communication simulations in real healthcare - browser versus VR, clinical realism, localisation.
Healthcare pilots in SpainResearch & Evidence
Everything we have published, with sources and limitations stated.
Research & EvidenceWant to see what the profile looks like in practice?
The product page shows what a learner and a team leader actually get out of this - reports, development plans and the conversation behind them.