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The Science

Assessment grounded in evidence, not assumptions

The best predictor of job performance is how someone actually thinks, decides, and acts in realistic situations. Every Neuroworx assessment is built on that principle.

The problem

Most hiring methods measure the wrong things

Traditional hiring relies on proxies. CVs reward tenure, not ability. Interviews reward confidence, not competence. Personality tests capture preferences, not behaviour.

These methods feel familiar, but decades of research show they are weak predictors of how someone will actually perform in a role. The result is inconsistent hiring decisions, costly mis-hires, and teams built on gut feel rather than evidence.

What traditional methods actually measure
CV screening
Experience and credentials
Not ability or potential
Unstructured interviews
Confidence and storytelling
Not on-the-job competence
Personality tests
Self-reported preferences
Not actual behaviour
Reference checks
Confirmation of assumptions
Rarely surface real gaps
These methods have a predictive validity of just 0.05 to 0.18
Our approach

Three methods, one complete picture

Single-method tests only capture part of the picture. Neuroworx combines three complementary assessment types, each measuring a different dimension of performance.

0.51 Validity

Cognitive and Technical Reasoning

Logical reasoning, numerical analysis, pattern recognition, and domain knowledge. Consistently one of the strongest predictors of job performance across industries.

Logical reasoning Numerical analysis Pattern recognition Domain knowledge
High predictive power
0.44 Validity

Practical Execution

Applied thinking, communication clarity, strategic reasoning, and task execution. Work performance is ultimately about what someone produces, not what they recognise.

Applied thinking Communication clarity Strategic reasoning Task execution
Measures real output
Beyond personality tests

We measure behaviour, not self-description

Traditional personality tests rely on self-reporting and abstract questions. Candidates describe how they think they behave, not how they actually respond under pressure. Social desirability bias makes these results unreliable.

Neuroworx replaces this with dynamic scenario-based assessment. Instead of asking "Are you a good communicator?", we present a realistic workplace situation with multiple plausible responses and genuine trade-offs between priorities.

This approach is grounded in behavioural consistency theory and contextual judgement research. It reduces faking, forces real trade-off decisions like actual jobs do, and measures applied judgement rather than stated preference.

Traditional approach

"On a scale of 1 to 5, how well do you handle conflict?"

Neuroworx approach

"A key stakeholder disagrees with your project timeline and is escalating to your manager. What do you do next?"

Four plausible options. Real trade-offs. No obvious answer.

Structured scoring

Every score maps to what the role actually needs

Most assessments give a single score or vague category. Neuroworx breaks every role down into 6 to 10 core skills, each clearly defined, independently measured, and weighted by importance to the role.

Weightings are based on job analysis, industry benchmarks, and performance drivers. A Growth Marketing role weights analytical thinking higher than stakeholder management. A Customer Service Manager weights the reverse.

The result is a composite NX Score that reflects genuine fit for role, not generic ability. Hiring managers see exactly where a candidate is strong, where they are weak, and how that maps to what the job demands.

Example: Growth Marketing Weighted
Analytical Thinking
High
Campaign Strategy
High
Data Interpretation
High
Creative Execution
Medium
Stakeholder Comms
Lower
Budget Management
Medium
NX Score Skill Score x Role Weighting = Composite Capability
The evidence

Built on proven assessment science

Not all assessment methods are equal. Meta-analytic research spanning decades shows that some methods are far stronger predictors of job performance than others.

Neuroworx uses cognitive ability tests, situational judgement tests, and work sample tasks. These are among the highest-validity methods available. Research consistently shows that combining multiple assessment methods significantly increases predictive accuracy.

Neuroworx does exactly this.

Predictive validity by method
Work sample tests
0.54 Neuroworx
Cognitive ability tests
0.51 Neuroworx
Situational judgement
0.34 Neuroworx
Structured interviews
0.51
Unstructured interviews
0.20
CV / resume review
0.18

Schmidt & Hunter (1998) meta-analysis. Higher = better predictor of job performance.

Fairness by design

Reducing bias at every stage

Poorly designed assessments can amplify bias. Neuroworx is built to reduce it.

Standardised evaluation

Every candidate faces the same scenarios, with structured scoring and consistent weighting. No interviewer variation, no inconsistent benchmarks.

Eliminates subjective variation

Removing traditional signals

No CV screening bias, no pedigree bias, no "confidence in interview" bias. Candidates are evaluated on what they can do, not where they come from.

Ability over background

Adverse impact monitoring

We monitor differential pass rates across protected groups and flag items that show unexpected subgroup differences for review and adjustment.

Continuous monitoring

Face validity

Candidates understand why they are being assessed. Scenarios are transparent and directly relevant to the role, building trust in the process.

Builds candidate trust

Accessibility

Reasonable adjustments are available for candidates with disabilities. Accessibility barriers never confound assessment scores.

Inclusive by default

GDPR compliance

Assessment data is processed lawfully with clear consent. Candidates can access or delete their data at any time.

Data rights protected

Want to dig deeper?

Talk to our assessment science team

We are happy to walk you through our validation methodology and discuss how we would approach your specific roles.

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