Individual cognitive & behavioral assessment based on 4,127 micro-signals · 30–60 min game session
Client
Meridian Dynamics
Department
Product Development
Candidate
Sarah Chen · VP of Product
Report Date
April 2026
neuroframe.ae
CONFIDENTIAL
01 / 14
HOW TO READ THIS REPORT
What you're looking at
This document is the result of a 30–60 minute game session analyzing behavioral patterns: how quickly they react, how they gather evidence, how they recover after errors.
What is measured
8 parameters — 3 cognitive and 5 personality — stable across repeated measurements (test-retest > 0.83): Mental Efficiency, Learning Agility, Progress Monitoring, Openness to New, Risk Appetite, Result Focus, Agreeableness, Conscientiousness.
What is NOT measured
Motivation, cultural fit, professional hard skills, loyalty, personal values. These factors should be assessed separately and cross-referenced with this report's data.
30–60
min. game session
4,127
behavioral signals
14,850
in the comparison sample
3,000+
KPI validation sample
Score interpretation: 50 = the golden mean of our executive population. Scores above 50 indicate higher expression; below 50 = lower expression. Neither is inherently better — optimal profile depends on role and team context. Benchmarked against a comparison sample of 14,850 people in real jobs (CFI = 0.96, α = 0.69–0.77). The ranges are a reference point, not a verdict: a gap on one or two parameters is something to explore at interview, not grounds for rejection.
02 / 14NeuroFrame EXECUTIVE SUMMARY
Profile Overview
Key findings at a glance — the full cognitive fingerprint on one page.
73of 100
Plans ahead, explores widely, checks less
Higher expression in progress monitoring (82) and openness (84). Cognitive style: rapid processing, bold decisions, fluid mode-switching.
4,127
Micro-signals
38:41
Session duration
70th
Percentile rank
0.96
Model validity (CFI)
Competency Radar
Context-dependent profile: aligns naturally with roles that reward speed, vision, and creative synthesis (product, strategy, BD). In precision-focused roles, benefits from structured support systems.
03 / 14NeuroFrame COMPETENCY PROFILE
Eight core competencies
Each derived from concrete behavioral markers — not self-reported answers. Normed against a comparison sample of 14,850 people in real jobs.
Progress Monitoring
82
85th percentile
Learning Agility
71
68th percentile
Conscientiousness
45
38th percentile
Mental Efficiency
78
76th percentile
Agreeableness
63
58th percentile
Risk Appetite
76
73rd percentile
Result Focus
68
64th percentile
Openness to New
84
87th percentile
"Planner–Explorer" — progress monitoring 82 and openness 84 above the comparison median, conscientiousness 45 below it. Built for pace and synthesis, not for checking.
04 / 14NeuroFrame DEEP DIVE
Unpacking each competency
Progress Monitoring
82
Thinks several moves ahead and revises the plan the moment a weak point shows — before it turns into a failure.
Planning depth: 4.2 moves (norm: 2.8)
Corrects a failing plan 40% earlier than median
Planning 88Course correction 80Systems view 78
In practice
Sees second- and third-order effects. Suited for roadmap planning and OKR setting.
Mental Efficiency
78
Reaches a workable solution fast and with few wasted moves. Under incomplete info, accumulates evidence then acts decisively.
Decision time: 1.9s (norm: 2.4s)
Reaction time 358 ms — faster than 72% of the sample
Speed 85Accuracy 74Economy of action 76
In practice
Unlikely to stall in "analysis paralysis." Use structured frameworks for deep deliberation.
Conscientiousness
45
Lower expression. Works at pace rather than systematically; spends little time re-checking. Misses 34% of low-salience signals.
Error detection drops 28% after min 15
Gravitates toward "good enough" under load
Precision 42Self-checking 44Consistency 52
In practice
Not a deficit — optimized for speed. Pair with detail-oriented member for precision tasks.
Risk Appetite
76
Takes calculated risk for a later advantage: commits early and accepts a temporarily weaker position when the payoff is bigger.
Explore/exploit balance: 38/62
Acts at a moderate evidence threshold (boundary 1.58)
Initiative 84Calculated bets 75Downside control 66
In practice
Moves before the picture is complete — an asset in fast markets. Add an explicit go/no-go checkpoint on irreversible bets.
"Planner–Explorer" — plans several moves ahead, commits fast, re-checks less. Fits roles that reward vision, initiative and synthesis; needs a checking partner where precision is the deliverable.
05 / 14NeuroFrame COGNITIVE FINGERPRINT
Cognitive DNA
6 parameters read from timing and error patterns, not from answers — the person is solving a task, not describing themselves. Repeat measurement stays stable (test-retest > 0.83). Based on the Drift-Diffusion Model.
Reaction Time
358ms
Fast processing. Captures stimuli faster than 72% of sample.
Drift Rate (v)
2.94
Evidence accumulation speed. Quickly forms a view on situations.
Decision Boundary
1.58
Confidence threshold. Moderate — balances speed with caution.
Flexibility
0.81
Strategy switching when rules change. High flexibility.
Error Recovery
1.7s
Quick reset. Returns to productive behavior immediately.
Fatigue Resistance
-11%
Performance decline in final quarter. Within acceptable range.
"Balanced Decider" — above-average speed with moderate confidence threshold. Well-suited for product leadership, strategic planning, operations.
06 / 14NeuroFrame STRESS PROFILE
How the profile shifts under pressure
Behavior in two modes: normal and under stress (time pressure, conflicting tasks, high cognitive load).
68
Decision Speed
76
Accuracy
72
Strategy
64
Emotional Reg.
Decision Speed Under Pressure
Decision time increases by 18% under stress. Within acceptable range — no paralysis observed.
Accuracy Maintenance
Accuracy drops by only 8% under pressure (norm: 14%). Reliable when stakes are high.
Strategy Preservation
Maintains strategic approach under pressure. Doesn't revert to primitive tactics.
Emotional Regulation
After errors under stress, recovery takes 2.1s vs 1.7s normally. Moderate response.
"Steady Under Fire" — performance degrades moderately and predictably. Maintains operational effectiveness without behavioral regression.
07 / 14NeuroFrame LEADERSHIP POTENTIAL
Leadership trajectory
Not a separate scale — read off resource allocation, initiative frequency, coordination strategies, and how the person integrates others' contributions.
84
Initiative
75
Influence
66
Delegation
79
Vision Comm.
Initiative & Influence
Proactively engages team from first actions. Team members adopt suggested strategies at above-average rates. Initiates 73% of collaborative actions (norm: 45%).
Delegation Growth Edge
Tends to retain tasks rather than distribute. Common in high-initiative leaders transitioning from IC to management. Effective with teams of 4–7; trust-based delegation expands range.
"Transformational-Operational" — leads by vision and personal engagement, with developing delegation capabilities. For scaling to larger teams, expanding delegation is the natural growth edge.
08 / 14NeuroFrame TEAM DYNAMICS
How this profile complements a team
Collaboration style, communication patterns, and personal vs. group objective balance.
Communication Style
Direct and goal-oriented. Communicates primarily about tasks and outcomes. Less frequent social signaling — efficient but may seem detached to high-warmth team members.
Collaboration Mode
Preferred: parallel work with sync points. Engages deeply in joint problem-solving when complexity requires it; defaults to autonomous work otherwise.
Conflict Response
Engages constructively with disagreement. Data-driven arguments; may prioritize being right over harmony. Complementary to mediator types.
Optimal Team Config
Best with: 1 detail-oriented member, 1 relationship-focused communicator, and peers matching on strategic depth. Avoid pairing with another dominant strategist.
09 / 14NeuroFrame PROFILE CHARACTERISTICS
Patterns to be aware of
Natural tendencies that, when unmanaged, may create friction in specific contexts. Awareness enables proactive adaptation.
Systematic Checking (Conscientiousness 45)Monitor
Lower expression in micro-level precision may lead to missed details in documentation, contracts, or QA. Not a quality issue — optimized for speed and synthesis.
Pair with detail-oriented reviewer for high-stakes deliverables.
Decision Speed BiasObserve
High decision speed is an asset in most contexts but may lead to premature commitment in ambiguous, high-stakes situations requiring extended deliberation.
Structured decision protocols for irreversible choices (hiring, M&A, pricing).
Delegation DevelopmentDevelop
Current tendency to retain tasks may become a bottleneck as team size increases. Common pattern in high-initiative leaders transitioning from IC to management.
Practice "70% rule" — delegate when someone can do the task at 70% of your quality.
10 / 14NeuroFrame GROWTH MAP
Development recommendations
Data-driven action items based on the individual's unique cognitive and behavioral configuration.
1. Structured Precision Practices
Implement checklist workflows for precision-critical deliverables. Adopt "pre-mortem" exercises before launches — the check moves off the individual and into the process, so pace is preserved.
2. Delegation Framework
Implement a structured delegation model: (a) define "done" criteria upfront, (b) agree on check-in cadence, (c) provide context not instructions. Start with low-stakes tasks, increase gradually.
3. Decision Cooling Period
For irreversible decisions (hiring, contracts, architecture), implement a 24h "cooling period." Write the decision down, sleep on it, revisit. Everything reversible keeps running at full speed.
4. Cognitive Endurance Training
Fatigue resistance shows -11% decline in Q4. Implement: micro-breaks every 45 min, prioritize highest-cognitive tasks in morning slot, protect deep work blocks.
11 / 14NeuroFrame ROLE FIT ANALYSIS
Position alignment
Alignment score between the behavioral profile and role archetypes common in Product Development.
VP of Product
Strategy, vision, cross-functional leadership
91%
Head of Strategy
Long-term planning, market analysis
88%
CPO / CTO
Product-technology bridge, scaling
82%
QA / Compliance Lead
Precision, audit, regulatory
42%
Strong alignment with VP of Product (91%). Profile rewards vision, initiative, fast synthesis. Best complemented by a detail-oriented deputy and structured reporting cadence.
12 / 14NeuroFrame METHODOLOGY
Scientific foundation
Game-Based Assessment
Tower defense game simulates resource allocation, multi-tasking, and strategy under uncertainty. Behavioural data rather than self-report, so social-desirability distortion is substantially lower.
Drift-Diffusion Model
Cognitive parameters extracted via DDM — a mathematical framework from computational neuroscience modeling the speed-accuracy tradeoff in human decision-making.
Psychometric Validation
Model fit: CFI = 0.96 (confirmatory factor analysis, two domains — cognition and personality). Internal consistency: α = 0.69–0.77 across the eight scales. Test–retest reliability > 0.83. Normed on 14,850 people in real jobs from 500+ companies, 21 industries and 21 functions.
Data Privacy
De-identified by design: the client hands out access codes internally and results come back against codes, not names. Who stands behind each code is known only to the client — NeuroFrame neither collects nor stores personal data.
14,850
Comparison sample
AUC 0.77
Predictive validity, n = 3,000+
30–60 min
Session duration
> 0.83
Test–retest reliability
13 / 14NeuroFrame
NeuroFrame
END OF REPORT
Thank You
This report is confidential and intended solely for the commissioning party. For questions or follow-up analysis, contact your NeuroFrame account manager.