A modern
psychometric suite
Deeper Signals provides a suite of psychometric assessments that measure validated talent signals predicting workplace performance. Together, they form a coherent system of soft skills intelligence.
Core Drivers
Measures stable personality traits- Built on Five Factor Model
- Takes 5–7 minutes
- Measures 12 distinct drivers
- Validated across roles and industries
Core Values
- Measures values and motivations
- Built Schwartz’s Basic Human Values framework
- Takes 5–7 minutes
- Measures 12 core values
- Built for global comparability
Core Reasoning Suite
- Measures logical, verbal and numerical reasoning
- Built on decades of cognitive ability research
- Inspired by fluid intelligence frameworks
- Adaptive testing for precision and efficiency
- Designed to minimize cultural and linguistic bias
Scientific by design. Simple by choice.
Our science is led by internationally recognized psychologists, psychometricians, and data scientists, blending decades of academic research with hands-on experience in talent and leadership assessment.
We:
Focus on well-established psychological constructs
Remove redundant or low-signal items
Use modern psychometric methods to maximize precision
Continuously validate what we measure against real workplace outcomes
Our assessments demonstrate strong reliability (.70 internal consistency and .72 test–retest reliability), indicating stable results over time, along with strong validity against established psychological tools and performance ratings.
How we ensure reliable results
Fairness in assessment requires continuous validation and monitoring.
Impression management is a known challenge in self-report assessments. Our assessments are designed to reduce this risk through thoughtful test design.
We limit response distortion by:
Measuring stable traits, which are difficult to shift consistently across items
Using balanced item design, making “desirable” responses less obvious
Modeling patterns across sets of items, rather than interpreting any single response
Scoring results using appropriate norms and benchmarks
These safeguards do not make deliberate distortion impossible, but they significantly reduce it and help ensure results remain stable and interpretable when used responsibly.
Fair by design
Fairness in assessment requires continuous validation and monitoring.
We ensure fairness through:
Construct-level validation to confirm job relevance
Ongoing monitoring for adverse impact
Demonstrate equivalence across demographic groups
Bias-aware item development
Continuous review as new data accumulates
Evidence of tests of group differences and adverse impact analyses are fully documented in our publicly available technical manuals.
Data that predicts performance
Assessments are only useful if it helps organizations select, develop and promote the right talent.
Benchmarks for fair comparisons
We interpret results using structured benchmarks, so you can compare like-for-like:
Role-based benchmarks- Regional norms
Population-specific comparison groups
Organizational benchmarks for internal talent strategy
Validity you can inspect
We test whether our scores relate to job-relevant outcomes, including performance ratings, leadership effectiveness, and role-specific success behaviors.
ROI that compounds
When predictive signals improve hiring, development, and succession decisions, the return shows up fast. Fewer mis-hires. Better targeting of development. Stronger talent conversations.
interviews
15%
16%
95%
90%
98%
Free
Curious to learn more?
Schedule a call with Deeper Signals to understand how our assessments and feedback tools help people gain a deep awareness of their talents and reach their full potential. Underpinned by science and technology, we build talented people, leaders and companies.
Let’s talk!
Scalable interventions for growth
Measurable data, insights and outcomes for high performance
Proven scientific expertise that links results to outcomes