The science behind Skillvue’s technology

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
Decisional transparency
No “black box” paradox: results generated in text form, open to review and verification by anyone

The BEI model: the psychometric foundations that power our AI

Skillvue’s assessments are based on the Behavioural Event Interview (BEI) and inspired from established competency frameworks such as the O*Net (Peterson et al., 1999) or the Great-Eight (Bartram, 2005). These approaches are founded on behavioural and organizational psychology and recognised in scientific literature as among the most predictive of professional performance, particularly for the analysis of soft skills (Barrick et al., 2009; Boyatzis, 1982; McClelland, 1998; Sackett et al., 2022).


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;
  • analyse user’s answers to our customized behavioural and situational questions to map their skill proficiency;
  • generate clear, insightful and informative reports facilitating HR decision-making.

From conversation to skills insights, tailored to what matters the most to you

Responses to situational and behavioural 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 technology.

Skillvue's AI:

  • automatically transcribes answers from text, audio or video format;
  • identifies skill-relevant behavioural 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

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

Phase 3

Verification of collected data and validation

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

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 behavioural indicators assessed:


  • Item Response Theory - IRT: a procedure whereby the behaviour 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 judgement.

Secure, bias-free and certified assessments to guarantee 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.
Dr. Tony Lee, Ph.D.
Head of AI & Science
Holder of double Ph.D. degrees and computational psychologist with hands-on technical experience in the field of Machine Learning and AI-driven assessments. Thanks to his interdisciplinary background, he brings a unique perspective to the industry, combining psychological knowledge with advanced AI and machine learning techniques. At Skillvue, he leads the AI & Science team, innovating, validating and implementing new skills assessment models based on the latest technologies.
Jatin Babbar
Senior Machine Learning Engineer
Dr. Serena Dolfi, Ph.D.
People Scientist
Wamiq Raza
Machine Learning Engineer
Luca Sbrollini
People Scientist
Letizia Spione
Customer Success Manager

The impact on people and companies

Why you should choose Skillvue

-40%

Time-to-screen & Time-to-hire

2X

Profile fit with the role

-60%

Assessment cost vs traditional methods

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