Psychometric Analysis
Evaluate candidate confidence, communication quality, and behavioral patterns automatically during AI interviews. Make data-driven hiring decisions beyond technical skills with voice-based psychometric insights.
Automatic Voice Data Collection
Psychometric analysis begins automatically when candidates start their AI-led interview. No configuration or setup required—the platform:
Captures voice data during all verbal responses- Records audio across behavioral and role-specific questions
- Works with both male and female AI interviewer voices
- Functions identically across all supported interview languages
Voice Quality Metrics Extraction
Behind the scenes, the AI extracts three critical technical voice metrics that indicate professional communication quality:
Jitter: Indicates stability in voice frequency, reflecting confidence, control, and emotional steadiness.
Shimmer: Shows consistency in voice amplitude, representing clarity, articulation, and vocal control.
HNR (Harmonic-to-Noise Ratio): Measures speech clarity by analyzing the balance between harmonic sound and noise.
Voice quality shapes how candidates are perceived—clear, confident speech builds trust and credibility in client-facing, leadership, and collaborative roles.
Consulting and Financial Services firms rely on voice quality metrics to identify candidates capable of client presentations and stakeholder communication.
→ STEP 3
Seven Core Behavioral Traits Assessment
The AI evaluates seven distinct personality traits that predict job performance and cultural fit:
Confidence
- Self-assurance in responses
- Assertiveness without aggression
- Belief in stated positions
Confidence predicts leadership effectiveness, client relationship success, and ability to advocate for ideas in team settings.
Enthusiasm
- Energy and engagement levels
- Genuine interest signals
- Motivational indicators
Enthusiasm correlates with cultural fit, long-term retention, and customer satisfaction in service roles.
Emotional Stability
- Consistency across responses
- Composure under questioning
- Professional demeanor maintenance
Emotional stability predicts performance under pressure, conflict resolution ability, and reliability in high stress environments.
Adaptability
- Flexibility in thinking
- Response to varied question types
- Problem-solving approach diversity
Adaptability indicates how well candidates handle change, learn new skills, and navigate ambiguous situations.
Stress Response
- Vocal indicators of pressure
- Resilience markers in responses
- Performance consistency under difficult questions
Stress response predicts deadline performance, crisis management ability, and sustained productivity.
Speaking Rate
- Communication pace appropriateness
- Articulation quality under speed
- Thought organization clarity
Reflects thinking speed and clarity—balanced pace shows confidence and suitability for explanation-heavy roles.
Voice Quality
- Professional vocal presentation
- Client-readiness of communication
- Overall impression management
Voice quality creates first impressions and ongoing credibility. Particularly important for phone-based and executive roles.
→ STEP 4
Advisory Report Generation
Immediately after the AI interview concludes, psychometric insights appear within the standard candidate evaluation report:
What Recruiters See:
Individual Trait Scores
- Numeric scores (0-100) for each of seven traits
- Comparison to role benchmarks (when available)
- Visual indicators (high/medium/low designations)
Behavioral Pattern Summaries
- Overall communication style description
- Strength areas highlighted (e.g., "High confidence with strong voice quality")
- Development opportunities noted (e.g., "Speaking rate suggests rushed thinking")
Communication Effectiveness Indicators
- Client-readiness assessment for external-facing roles
- Team collaboration indicators for internal positions
- Leadership potential markers for managerial tracks
Companies across all industries use psychometric reports as supplementary data alongside technical evaluation for holistic candidate assessment.
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hello@interviewgod.aiNextCoWorks, JP Nagar,
Bengaluru, Karnataka 560078
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