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Evidence-Based Talent Evaluation

The Science
Behind Glider AI

Hiring and workforce decisions should be evidence-based. Glider AI skills validation capabilities were built on industrial-organizational psychology, psychometric science, and applied performance analytics.

Every assessment, interview, and integrity check is engineered to measure what actually predicts success on the job. We do not guess. We measure.

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Reliable
Defensiible
Valid
Skill Evaluation

Download the Reliability & Validity Handbook

Download Validity Handbook
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Why Science Matters in Hiring

Structure + Science
Improves outcomes.
Intuition Does Not Scale.

The cost of a bad hire is measurable. Research shows it can exceed 1.4x annual salary. Unstructured hiring methods create:

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Low predictive accuracy
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Increased bias
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Higher turnover
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Inconsistent decision-making
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1.4x annual salary cost of a single bad hire. Unstructured methods multiply this risk.
The Glider AI Difference

The Glider AI Difference

Built on Academic Best Practices and Practical, Real-World Application.

Glider AI combines:
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Competency-based job analysis
02
Criterion-referenced skills measurement
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Psychometric reliability testing
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Predictive validation studies
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Adverse impact monitoring

Our CEO’s prior venture established early frameworks in skill simulation and assessment science. Glider AI extends that foundation into a unified Skills Validation Platform that evaluates:

Evaluation Dimensions:
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Job readiness
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Applied skill
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Behavioral alignment
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Integrity
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Development potential
Real work Simulation
We simulate real work environments — not abstract quizzes.
If a company hires for React development, we simulate the React environment and measure the candidate building a feature.
Performance in skills evaluation correlates directly to performance on the job.
Our Methodology for Skills-Based Hiring

Structured. Validated. Continuously Calibrated.

Role & Skill Deconstruction

We begin by mapping the role to measurable competencies and outcomes. Every assessment and interview is aligned to defined performance criteria — not generic skill lists. Clear job definitions reduce bias and strengthen validity.

Role & Skill Deconstruction

Expert-Led Content Development

Assessments are developed by internal I/O psychologists and external subject matter experts. Each item undergoes:

  • Qualitative review (relevance, clarity, domain coverage)
  • Quantitative expert agreement validation
  • Iterative refinement
  • Tryout with representative populations

If expert consensus is not reached, the item is rejected. More than 1,000 external experts contribute to content validation.

Expert-Led Content Development

Reliability You Can Measure

Reliability refers to consistency in measurement. Glider assessments demonstrate:

  • Strong test–retest reliability (Spearman-Brown coefficients ~.82 in sample data)
  • High internal consistency (Cronbach’s alpha ~.80)

We conduct continuous item analysis evaluating

  • Item difficulty
  • Discrimination indices
  • Point biserial correlations
  • Distractor functionality

Items that do not meet performance standards are revised or removed.

Reliability You Can Measure

Validity That Predicts Performance

Validity measures whether an assessment measures what it claims to measure. Glider demonstrates:

  • Content validity across 400+ technical and domain skills
  • Inter-rater agreement averaging approximately 77%
  • Predictive validity showing candidates who clear Glider assessments are 3.6x more likely to be successfully placed

Assessment outcomes correlate with real-world performance.

Validity That Predicts Performance
A 360° Calibration of Talent

Evaluating capability, behavior, motivation, and integrity.

Can they do the job?

Technical and domain skill assessments
Simulated Web IDE environments

Will they do the job?

Behavioral and psychometric assessments

Do they want the job?

Motivational alignment and engagement indicators

Can they succeed in this job?

Structured, competency-based interviews

PRODUCT

Where Science Meets Real-World Application

ASSESSMENTS

Assessments: Real-World Skills Evaluation

  • 400+ technical and domain skills
  • 30+ interactive question types
  • Simulated environments
  • Automated, objective scoring
Assessments: Real-World Skills Evaluation
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400+ technical and domain skills

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30+ interactive question types

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Simulated
environments

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Automated, objective scoring

INTERVIEWS

Interviews: Consistency at Speed and Scale

Unstructured interviews weaken predictive accuracy. Glider standardizes interviews through competency-based frameworks and structured scoring.

Interviews: Consistency at Speed and Scale
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Standardized
evaluation rubrics

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AI-supported analysis with human oversight

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Fast, fair, and consistent candidate engagement

L&D

L&D: From Hiring to Skills Mastery

Skills are not static. Performance evolves. Glider extends its validated competency framework beyond hiring into practice-based learning and ongoing skill calibration.

L&D: From Hiring to Skills Mastery
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Team-level skill diagnostics

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Skill gap analysis across teams and individuals

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Self-paced, custom, practice-based learning

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Mastery tracking over time

Fraud/Integrity

AI Proctoring & ID Verification: Trust the Results

Performance data must be authentic to be defensible. Glider integrates advanced integrity safeguards to protect the validity of every candidate evaluation.

AI Proctoring & ID Verification: Trust the Results
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Audio and video monitoring

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Tab-switch detection

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Plagiarism detection

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Multiple face detection

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AI enabled ID verification

Evidence-Based Hiring Starts Here

Reliable. Valid. Defensible.

Glider AI delivers scientifically grounded, performance-aligned talent evaluation designed for enterprise hiring and workforce development.