Modeling
Table of contents
- Product objective
- Prediction boundary
- Evaluation
- Explainability
- Resume Intelligence
- Retention Advisor
- Limitations
- Related guides
Product objective
Models support identification and explanation of retention risk while preserving human review.
Prediction boundary
Every model must define:
text
population
prediction target
time horizon
feature cutoff
exclusion criteria
decision contextEvaluation
Evaluation should include:
text
discrimination
calibration
precision and recall
threshold behavior
temporal validation
subgroup analysis
business interpretationNo single metric should define readiness.
Explainability
Outputs should include structured evidence:
text
risk score
important signals
confidence or uncertainty
data limitations
recommended next reviewResume Intelligence
Resume Intelligence may provide structured context extraction and transparent signals. It must not infer unsupported personality or psychometric traits.
Retention Advisor
The advisor combines validated signals, evidence, policy, and optional provider output into reviewable recommendations.
The advisor is decision support, not an autonomous employment decision-maker.
Limitations
Psychometric Intelligence is outside v1.0 until supported by appropriate data, validated instruments, fairness analysis, privacy review, and responsible interpretation.