Brain cognitive test.
It takes less than 10 minutes to assess an individual’s capacity to reinvent themselves and face tomorrow’s challenges.
Finally. A test that looks nothing like a test!
Traditional cognitive tests are long, tedious and often give candidates and employees a poor experience. With Brain, adaptive technology and modern UX standards reduce the test time and minimise frustration for test-takers.

The CHC Model.
The Cattell-Horn-Carroll (CHC) model describes human intelligence and cognitive abilities as a hierarchical structure where “narrow” cognitive factors predict “broad” cognitive factors. In turn, these can predict the general intelligence factor—considered today as the best single predictor of work performance and, more generally, of adaptability.
PREDICTIVE TECHNOLOGY
Build recruitment decisions on data.
In under 10 minutes, the Brain data collection module can predict an individual’s general ability to learn and adapt, with remarkable precision. As a recruiter or HR professional, you’ll obtain a global score that is easy to interpret. And more, you’ll have data on each individual’s reasoning speed plus the strategies they will turn to when confronted with new challenges at work.
9.6
Average test time (mins)
270
Collected data points
Modern game standards with science.
Brain reinvents cognitive ability assessments by incorporating the principles of gaming, based on neuroscience. Through gaming and an adaptive approach we have significantly reduced the time required for collecting data, while also increasing the level of enjoyment for test-takers, as they complete their profile.
2.04X
More engaging
x<10
10 minutes... and not a minute more.
On average it takes less than 10 minutes to complete your Brain profile. Juts like our Drive and Shape assessments, when finished, candidates and employees get their profile report straight away!
1 (super) powerful factor.
Brain measures the general adaptability factor. It is the most powerful existing predictive indicator of a person’s capacity to adapt to a world undergoing continuous change.


4 strategies explained in-depth.
In addition to predicting a person’s capacity to reason accurately, Brain also identifies the strategies each person uses on a daily basis when confronted with new challenges.
3 potential talents.
Instantly discover the unique talents that each of your candidates or employees can leverage when challenged to make decisions.


4 learning styles.
With Brain, you can go beyond reasoning skills and adaptability, and gain a clear understanding of how people learn new things and acquire new skills.
3X more predictive power.
AssessFirst’s psychometric qualities make it one of the most powerful and reliable AI-augmented potential assessment solutions in the market.
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PSYCHOMETRIC DATA
Validity
Brain’s data collection module is designed to maximise the validity of our predictions for global efficiency at work and the general capacity to adapt to a constantly changing world.
Our validity studies address content validity, construct validity, criterion validity, and cross-cultural equivalence.
400
Pool items
.59
Predictive validity (X̅)
PSYCHOMETRIC DATA
Reliability
By calculating reliability indicators we can ensure the coherence of the items used to assess reasoning ability through Brain, as well as the stability of measurements over time.
Our reliability studies address the internal consistency of each of the scales (Cronbach’s Alpha), as well as test-rest reliability.
.90
Cronbach's alpha (Mdn)
.81
Test-retest (Mdn)
PSYCHOMETRIC DATA
Sensitivity
By calculating sensitivity indicators for Brain, we can verify the capacity of the module to accurately distinguish individuals from one another based on measured criteria.
Our sensibility studies focus on determining the Root Mean Square Error of Approximation (RMSEA), which allows us to assess the standard deviation between the expected matrix and the observed matrix.
8736
Standardised sample
.04
RMSEA
PSYCHOMETRIC DATA
Fairness
We have developed measures to ensure Brain does not put any category of respondents at a disadvantage, including a visual design suitable for the most common types of color-blindness, the use of a “culture-free” approach to reduce cross-cultural bias, and test items fully adapted to dyslexic test-takers.
+/-0.5
Deviation from theoretical mean
97399
Analysed samples