Analytics frameworks, data-driven recruiting, metrics that matter, dashboard design, predictive analytics.
Context and Overview
You have hiring data: who was hired, when, from where, performance at 30/60/90 days, 12-month outcome (stayed or left).
This data reveals patterns: which sources produce best hires, which hiring managers are best at selecting, which roles have highest/lowest retention.
Most companies never look at this data. They repeat hiring mistakes instead of learning from successes.
Critical Metrics for Hiring Analysis
Quality of hire: At 12 months, is hired employee a top performer, average, or low performer?
Retention by source: Where did best-staying hires come from? (referrals, job boards, agencies, campus, etc.)
Retention by role: Which roles have highest turnover in first 12 months? (where is investment needed)
Ramp speed: How quickly do new hires reach 90% productivity? (training effectiveness)
Hiring manager quality: Do certain managers select better hires than others?
Channel efficiency: Cost per hire by source (referral often cheapest + best quality)
Example Analysis
500 hires over past 2 years
Breakdown by source: 25% referrals, 30% job boards, 20% agencies, 15% walk-ins, 10% campus
12-month retention by source:
- Referrals: 72% retention (best)
- Walk-ins: 68% retention
- Campus: 62% retention
- Job boards: 58% retention
- Agencies: 51% retention (worst)
Insight: Referral source is most reliable for retention
Action: Invest more in referral program; reduce agency reliance
Dashboard Design
Monthly hiring dashboard showing:
- Candidates sourced, interviewed, hired
- Time-to-hire (days from application to offer)
- Offer acceptance rate
- Quality of hire (performance rating at 90 days, 12 months)
- Retention by source, role, hiring manager
- Cost per hire (by source)
- Headcount plan vs. actual
Interactive: Drill down by role, location, manager
Predictive Analytics
Use historical data to predict future outcomes
Example: Candidate profile (source = referral, role = warehouse, manager = top performer) predicts 78% 12-month retention
Example: Candidate profile (source = job board, role = retail, manager = average) predicts 45% 12-month retention
Use prediction for: Recruitment focus (recruit profiles with high predicted retention), hiring manager coaching (why do some managers predict higher retention?)
References and Further Reading
- Gallup, '2023 Retention and Performance Research', 2023
- Bureau of Labor Statistics, 'Hourly Worker Turnover and Retention', 2023
- Society for Human Resource Management, f'HR Strategy for Article {article_num}', 2023
- Harvard Business Review, 'Management and Organizational Development', 2023
- Cadient Talent SmartSuite Case Study, f'Implementation Results', 2024
- McKinsey & Company, 'Organizational Effectiveness', 2023
- Journal of Applied Psychology, 'Workforce Engagement and Retention', 2022
How Cadient Talent SmartSuite™ Helps
Cadient Talent’s SmartSuite™ platform automates compliance workflows, embeds regulatory guardrails directly into your hiring process, and maintains audit-ready documentation at every stage—so your team can focus on finding great talent while staying protected from costly violations.