Science you can trust, decisions you can explain

Discover our AI-powered assessments, guided by psychometric science.

We treat AI as a tool, not an oracle: scientifically grounded, rigorously tested, and used with oversight.
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Skillvue's AI-powered skill assessments is based on established psychometric theories, validated through rigorous statistical methods and constantly tested on real data, with the ultimate goal of helping organisations make more effective, fair, and insightful decisions by combining scientific rigour and Artificial Intelligence.

Our skills assessment is founded on the theoretical insights drawn from the field of I-O Psychology, including Behavioral Event Interview (BEI) and established competency frameworks.

We supervise and optimize thousands of parameters to provide objective, accurate and inclusive insights, overcoming the limitations of traditional methodologies.

We carry out confirmatory factor analyses and NLP, that validate the content of each person's responses and behaviors in order to provide comprehensive assessments.

The 4 key elements of our assessments

Psychometric consistency

Constant monitoring of the consistency of psychometric indicators used as a reference for assessments

Human in the loop

Structuring of each individual output and insight as an additional decision-making element for the person

Test validation

Validation of the quality standard of our AI models with external assessments by HR and professional assessors

Transparency of the AI model

Text-based outputs with a clear and straightforward rationale, open to verification by anyone

The BEI model: the psychometric foundations that power our AI

Skillvue's assessments are based on Behavioral Event Interviews (BEI) and inspired by established competency frameworks such as O*Net and Great-Eight. These approaches are founded on behavioral and organizational psychology and recognized in scientific literature as among the most predictive of professional performance, particularly for the analysis of soft skills.

With our AI-powered skills assessments, you can:

interpret skills as observable and objectively measurable constructs;
transform open-ended responses extracted from either text, audio, or video into valuable insights;
analyze users' answers to our customized behavioral and situational questions to map their skills proficiency;
generate clear, insightful, and informative reports facilitating the HR decision-making.

Scientific literature references: Barrick et al., 2009; Bartram, 2025; Boyatzis, 1982; McClelland, 1998; Peterson et al., 1999, Sackett et al., 2022

From conversation to skill insights, tailored to what matters most to you

Responses to situational and behavioral questions are rich, complex, and nuanced. At the same time, they must also be carefully tailored to industry-specific contexts and to your unique competency model in order to deliver truly meaningful insights. Converting this depth and complexity into rigorous, standardised, and comparable measurements requires advanced technologies.

Skillvue's AI:

seamlessly integrates your competency model into the BEI question framework, generating a perfectly contextualised set of questions;
automatically transcribes answers from text, audio, or video format;
identifies skill-relevant behavioral signals within the transcribed answers;
applies BEI method to capture behavioural cues;
calibrates its assessment by accounting for the broader context of each response;
generates insightful and transparent reports that explain the decision-making process behind its reasoning.

What lies behind each skill test:
our psychometric design workflow

Phase 1

Definition of the construct and dimensions

Creation of item sets that correspond to the relevant scientific theories needed to test the construct.

Phase 2

Data collection and testing of the construct

Collection of sufficient size of samples to allow for accurate testing of the construct.

Phase 3

Verification of collected data and validation

Validation of the construct with classical testing theory or item response theory + statistical analyses for structural and external validity.

The validation of our models:
endorsed by experts and proven by real assessors and HR professionals

Skillvue's AI & Science team bases its assessments on a rigorous scientific approach, relying on several approaches to ensure validity and reliability in the research of each individual item underlying the behavioral indicators assessed:

Item response theory - IRT: a procedure whereby the behavior of individual items is analysed in relation to the latent trait to be analysed;
Confirmatory factor analysis: analysis that supports the hierarchical structure of skills and the internal robustness of the model;
Human vs. AI benchmark: compares and reflects assessments rated by Skillvue's AI and HR experts, ensuring that our AI is aligned with human judgment.

Skillvue model validation:

Comparison between human assessments (blue) and AI assessments (orange)

Secure, bias-free and certified assessments to guarantuee compliance and transparency

Our standards are rigorous not only from a technical and scientific point of view, but also from an ethical and legal point of view, thanks to a series of key elements:

Training of our AI based on large and diverse datasets, validated to ensure statistical robustness and consistency of results on a large scale;
data anonymised and processed in full compliance with current regulations and data protection principles;
use of advanced statistical methodologies to reduce distortions and minimise the occurrence of bias;
continuous monitoring of models to ensure fairness and consistency;
total transparency on how our assessments work and what they measure;
adversarial attack tests to ensure our AI is bias-free, secured and trustful.

The Team

Behind every assessment, model, and validation cycle are the professionals at Skillvue: a group of experts with cross-sector experience in psychology, psychometrics, machine learning, and much more who design the assessments, guarantee their psychometric rigour and constantly monitor the fairness and validity of the output generated.