Skip to main content
HomeCareer Dashboard

Career Intelligence Dashboard

Demo profile: Alex Chen — Fusion Score: 80.6

Take Your Own Assessment
Demo Data

Demo Mode — Viewing sample data. Complete the BPRA Assessment for personalized results.

Take Assessment
Fusion Score
80.6
Top Match
92%
Strongest Skill
Communication
Growth Areas
3

Fusion Score

Fusion = 0.6 × BPRA_Potential + 0.4 × Resume_Evidence

The Fusion Score combines BPRA psychometric assessment results (60% weight) with AI-parsed resume evidence (40% weight) to create a comprehensive candidate profile that captures both potential and demonstrated competencies.

Fit Score

Competency Fit:Cosine Similarity + Proficiency Gap Penalty
Experience Fit:Logarithmic Function within Desired Range
Personality Fit:Euclidean Distance from Ideal Profile (Big Five)
Career Aspiration Fit:Goal Alignment Scoring

The Fit Score matches your fused profile against 1,800+ job roles using multi-dimensional similarity analysis across competency, experience, personality, and career aspiration vectors.

16-Dimension Competency Radar

Critical Thi…Problem Solv…Learning Agi…CreativityCommunicatio…TeamworkEmpathyInfluenceAchievement …ResilienceAdaptabilityProactivenes…Responsibili…Innovation I…Attention to…Time Managem…03610
Your Score
Benchmark

Dimension Score Ranking

03610Communicat…Responsibi…Problem So…Achievemen…TeamworkAttention …Critical T…ResilienceInfluenceCreativityAdaptabili…TimeManag…Learning A…Proactiven…EmpathyInnovation…
Thinking Critically
Interacting with Others
Staying Relevant

Top Career Matches

Based on Fit Score: w₁·CompetencyFit + w₂·ExperienceFit + w₃·PersonalityFit + w₄·CareerAspirationFit

Data Analyst

Infocomm Technology
92%

Fit Score

Soft Skill Match94%
Hard Skill Match89%

Business Intelligence Analyst

Financial Services
88%

Fit Score

Soft Skill Match90%
Hard Skill Match85%

Product Manager

Infocomm Technology
85%

Fit Score

Soft Skill Match88%
Hard Skill Match80%

UX Researcher

Design
83%

Fit Score

Soft Skill Match86%
Hard Skill Match78%

Management Consultant

Professional Services
81%

Fit Score

Soft Skill Match84%
Hard Skill Match76%

Skill Gap Analysis

Areas where your profile falls below the target role benchmark (based on Dreyfus 5-Level Proficiency Model)

Innovation Implementation

Competent → Proficient

6.5

Current

Gap: 1.5
8

Target

Empathy

Competent → Proficient

6.5

Current

Gap: 1
7.5

Target

Learning Agility

Competent → Proficient

6.8

Current

Gap: 1.2
8

Target

Personalized Learning Paths

SkillsFuture-aligned development roadmap tailored to your profile

Short-Term (1-3 months)

  • 1
    Complete SkillsFuture online course: Data Analytics Fundamentals
  • 2
    Practice critical thinking exercises via structured problem-solving workshops
  • 3
    Attend 2 industry networking events in Infocomm Technology sector

Medium-Term (3-6 months)

  • 1
    Obtain Google Data Analytics Professional Certificate
  • 2
    Lead a cross-functional project to strengthen Innovation Implementation
  • 3
    Develop empathy skills through mentorship program participation

Long-Term (6-12 months)

  • 1
    Pursue SkillsFuture Career Transition Programme in Data Science
  • 2
    Build portfolio of 3+ data-driven business case studies
  • 3
    Target Data Analyst or BI Analyst role with 85%+ Fit Score alignment

Dreyfus 5-Level Proficiency Model

The framework used to calibrate your competency scores

1

Novice

Score: 1-2

Rigid adherence to rules. No exercise of discretionary judgment. The individual closely follows rules and waits for specific and sufficient instructions before acting.

2

Advanced Beginner

Score: 3-4

Limited situational perception. All aspects treated separately with equal importance. The individual feels confident taking action as long as those actions fall within the specific guidelines previously given.

3

Competent

Score: 5-6

Coping with crowdedness. Some perception of actions in relation to goals. Deliberate planning. Formulates routines. The individual still acts within specific guidelines but is skilled enough to begin to question the reasoning behind those guidelines.

4

Proficient

Score: 7-8

Holistic view. Prioritizes importance of aspects. Perceived deviations from normal pattern. The individual takes action and makes decisions based on general guidelines and feels confident to base actions on what they determine is most important at the time.

5

Expert

Score: 9-10

Transcends reliance on rules. Intuitive grasp of situation based on deep tacit knowledge. Has vision of what is possible. Uses analytical approaches in new situations. The expert makes decisions based more on experience and intuition than rules and guidelines.

Career Maturity Models

Track your career development stage and organizational capability level

Individual Career Maturity (CMM)

5-level progression from Exploratory to Influential

L1

Exploratory

Individual is beginning to explore career options with limited self-awareness and market understanding.

Limited career self-awarenessBroad and unfocused explorationReliance on external guidance
L2

Developing

Individual has identified initial interests and is building foundational skills with emerging self-awareness.

Emerging self-awarenessInitial skill developmentBeginning to set goals
L3

Engaged

YOUR LEVEL

Individual is actively pursuing career development with clear goals and demonstrated competencies.

Clear career directionActive skill buildingStrategic networking
L4

Strategic

Individual demonstrates strategic career management with strong competencies and market positioning.

Strategic career planningStrong personal brandCross-functional competencies
L5

Influential

Individual is a recognized leader who shapes career development practices and mentors others.

Industry thought leaderMentors and develops othersShapes organizational practices

Organizational Capability (OCMM)

5-level organizational career development maturity

L1

Initial / Ad-hoc

Career development is reactive and unstructured. No systematic processes exist.

No formal career development processAd-hoc training decisionsNo data-driven insights
KPIs: No standardized KPIs; success measured anecdotally
L2

Managed

Basic career development processes are established with some standardization.

Basic competency frameworksAnnual performance reviewsSome training programs
KPIs: Training hours per employee; basic satisfaction surveys
L3

Defined

Standardized career development processes are documented and consistently applied.

Standardized competency modelsStructured career pathwaysRegular skill assessments
KPIs: Competency coverage rates; career progression timelines; skill gap closure rates
L4

Quantitatively Managed

Career development is data-driven with predictive analytics and measurable outcomes.

Data-driven talent decisionsPredictive analyticsROI measurement on development
KPIs: Predictive retention models; ROI on training investment; skill-to-role match accuracy
L5

Optimizing

Continuous improvement through AI-driven insights and adaptive career ecosystems.

AI-powered career coachingContinuous learning ecosystemsReal-time market adaptation
KPIs: AI recommendation accuracy; ecosystem engagement rates; career satisfaction indices

Cookie Consent

We use cookies to enhance your experience. By continuing to visit this site you agree to our use of cookies. Learn more in our Privacy Policy.