Adaptive Game Simulation
This is not just a game, but a universal simulator of real-world decision-making, reflecting the conditions professionals face in their daily work: incomplete information, changing environments, limited resources, and constant optimization trade-offs
- -1-Progressive complexityIncreasing task difficulty enables players to adapt over time and demonstrate learning agility.
- -2-Hidden parametersKey game elements differ in effectiveness, encouraging players to explore, test hypotheses, and identify optimal strategies.
- -3-Information processingIn-game decisions show how players integrate new information, plan ahead, and adapt their strategy.
Technology Architecture
Data transformation pipeline for behavioral signal processing and assessment
Turns 30 minutes of gameplay into an objective employee performance profile.
Scientific foundation and psychometric reliability
We rely on modern personality models and rigorous validation methods to ensure accurate and objective assessments
- Scientific BasisThe assessment is developed using evidence-centered design (ECD) and grounded in contemporary neurobiological personality models, including Reinforcement Sensitivity Theory (RST), Eysenck’s PEN model, Five Factor Model (FFM), and the more biologically oriented Cybernetic Big Five Theory (CB5T).
- Sample & BenchmarksOur research covers over 10’000 corporate managers and entrepreneurs from 500+ companies, ranging from small startups to multinational corporations across 20+ industries and 18 functional domains, spanning multiple regions worldwide.
- Construct ValidityExploratory Factor Analysis (EFA) identified two primary domains: Cognitive and Personality. Confirmatory Factor Analysis (CFA) demonstrated a strong model fit to empirical data, with χ²/DF, CFI (0.96), IFI, and RMSEA values all within accepted psychometric standards.
- Criterion ValidityCognitive scales demonstrated strong correlations with gold-standard cognitive ability tests, including Raven’s Advanced Progressive Matrices (RAPM) and Saville’s Aptitude assessments, as well as comprehensive measures of key cognitive functions (attention, memory, cognitive flexibility). Personality scales were validated against established psychometric frameworks, confirming their alignment with key constructs such as Openness to Experience, Risk Propensity, Persistence, Agreeableness, and Conscientiousness. Predictive models, including Machine Learning approaches (Decision Trees, Random Forest, and Gradient Boosting) and statistical Regression analyses confirmed significant associations between cognitive performance, personality predispositions, and GBA scores with R²≈0.46 and correlations ranging from r=0.52 to 0.71.
- Job Performance PredictionExternal validation against job performance metrics, including objective KPIs and reliable manager ratings from over 100 employees across multiple functions, demonstrated significant correlations with GBA scores, confirming its predictive utility in workplace settings.
- ReliabilityThe assessment demonstrated strong internal consistency across scales (α = 0.69-0.74), ensuring measurement reliability.High test-retest reliability confirmed its ability to assess stable individual traits rather than temporary state fluctuations.
- Practical ApplicationGBA NeuroFrame is designed for data-driven talent assessment, providing insights into employees’ cognitive styles and personality. It supports HR professionals in optimizing hiring, leadership development, and team performance. GBA NeuroFrame has been successfully applied across multiple industries, including finance, IT, manufacturing, retail, education, and logistics, helping companies build stronger, high-performing teams.
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