From prediction to performance
Traditional hiring methods focus on measuring traits such as personality, cognitive ability, and behavioural preferences. These approaches are widely used and supported by research. But they answer a limited question: What is this person like?
PRODICTA is built to answer a more important one: How will this person actually perform in the job?
PRODICTA is not a personality test. We do not ask candidates to rate themselves, agree with statements, or describe their preferences. We do not measure traits, types, or psychological profiles.
PRODICTA places candidates into realistic Day 1 scenarios and observes how they actually perform. The behavioural data we analyse is what candidates do, decide, write, and prioritise during real work simulations, not what they say about themselves.
This is the difference between asking ‘are you good under pressure?’ and watching how someone actually responds when their inbox is overflowing, a deadline is moving, and a stakeholder is pushing back.
PRODICTA replaces CV screening and theoretical assessment with realistic job simulations.
“Work sample tests, where candidates perform real job tasks, are among the most predictive indicators of job performance.”
In comparison:
Traditional hiring relies on proxies:
Work simulations measure something fundamentally different: Observed performance in job-relevant situations.
PRODICTA places candidates into Day 1 scenarios where they must:
Not what they say they would do, but what they actually do.
Research shows behaviour is shaped by the situation.
“Performance is influenced as much by context as by personality.”
The same individual may behave differently depending on:
Assessing candidates outside of real context limits accuracy. To understand performance, behaviour must be observed in realistic conditions.
Research shows that while personality traits describe general tendencies, observed behaviour in real situations provides a stronger and more reliable signal for predictive analysis.
Personality-performance research demonstrates moderate correlations between traits and job outcomes (Barrick and Mount, 1991), while behavioural science shows that performance is highly dependent on situational context (Mischel, 1968).
Meta-analyses of hiring methods further show that approaches based on real job tasks, such as work sample tests, are among the most predictive indicators of performance (Schmidt and Hunter, 1998; 2016).
Personality provides useful insight, but it does not capture how someone behaves when it matters. Observed behaviour in context provides a stronger, more reliable signal.
PRODICTA reflects principles used in assessment centres, a long-established approach in high-stakes hiring.
Assessment centres evaluate candidates through:
“Research shows these methods have strong predictive validity and are widely trusted for evaluating job performance.”
Assessment centres are effective but traditionally:
PRODICTA brings the same principles into a scalable, digital format:
Research in experiential learning shows that performance is best understood through action.
Kolb (1984)
People demonstrate capability most accurately when:
PRODICTA captures behaviour as it naturally occurs during real work simulation.
Real-world performance depends on how individuals operate under constraint.
Decision science shows that behaviour is influenced by:
Kahneman (2011); Sweller (Cognitive Load Theory)
Traditional tests do not reflect real working conditions.
PRODICTA introduces:
To reveal true decision-making behaviour.
Behavioural science shows that individuals do not always act in line with their self-perception.
Kahneman and Tversky
This is why personality tests, behavioural questionnaires, and self-assessment surveys have limited predictive value. People answer how they imagine themselves, not how they actually behave.
Self-reported answers:
Research shows that hiring systems based on inferred traits or self-reported inputs:
Understanding how someone behaves in theory is not the same as seeing how they perform in practice. This is the limitation of personality assessments, behavioural questionnaires, and trait inventories: they tell you what someone is like, not what they will do.
PRODICTA measures actual decisions, not stated intentions.
By ‘behavioural analysis’ we do not mean personality questionnaires, behavioural surveys, or self-reported preference tests. PRODICTA analyses observed behaviour during real work simulations, what candidates actually do, decide, write, and prioritise when faced with realistic job pressure. The difference is fundamental: self-reported behavioural data tells you what someone says they would do, observed behavioural data shows you what they actually did.
PRODICTA combines behavioural science with modern AI to interpret candidate performance.
Research in AI and HR analytics shows:
Supported by:
AI is most effective when applied to observed behavioural data captured in real work conditions, rather than relying on abstract or self-reported questionnaire responses. The distinction matters: self-reported answers can be biased, rehearsed, or AI-generated. Observed behaviour during actual work tasks cannot be faked the same way.
PRODICTA analyses what candidates actually do during real work simulations:
This is observed performance, not self-reported preference. The data comes from how candidates actually behave during the simulation, not from questions about how they would behave.
Research shows that:
AI is only as powerful as the data it is trained on.
Traditional systems rely on:
PRODICTA uses observed behavioural data from realistic job scenarios.
Hiring accuracy has direct financial impact.
CIPD reports:
REC benchmarks indicate:
Even small improvements in hiring accuracy:
Research shows that self-reported ability does not reliably reflect real performance. In some studies, individuals who rated themselves most highly performed worse in practical assessments.
PRODICTA measures observed performance, not self-perception. The candidate who claims to be ‘great under pressure’ gets the same simulation as everyone else, and we measure how they actually respond.
Research in psychology shows that assessments which reflect real-world conditions provide more accurate insights. This concept, known as ecological validity, is one of the strongest principles in modern assessment science.
The closer an assessment is to real work:
Generic personality tests, situational judgement questionnaires, and abstract problem-solving exercises score low on ecological validity because they don’t resemble real work.
PRODICTA creates realistic, role-specific environments that mirror real decisions, real constraints, and real job conditions. A Marketing Manager candidate works on actual campaign briefs. A Finance Manager reviews actual variance data. A Solicitor advises on actual contract clauses. The simulation environment matches the work environment, high ecological validity, high predictive power.
Across research and industry evidence:
We do not test personality or theory.
We put candidates into real job situations and measure how they actually perform.
Hiring should not rely on:
It should be based on: What candidates actually do when placed in real job situations.
PRODICTA brings real work into the hiring process so decisions are based on evidence, not guesswork.