Dr. Ayers explains two foundational leading indicators—Hazard Identification Metrics and Risk Rating Metrics—and how they work together to show not just how many hazards an organization finds, but how serious those hazards are. The episode emphasizes that strong safety systems don’t just count hazards; they evaluate risk, prioritize, and drive action.
These metrics reveal whether an organization is truly seeing its risk landscape or simply checking boxes.
1. Hazard Identification Metrics
These metrics measure how effectively the organization is finding hazards. They answer questions like:
Are workers and supervisors actively identifying hazards?
Are hazard reports increasing, decreasing, or stagnant?
Are we finding hazards across all departments or only in certain areas?
Are leaders spending enough time in the field to see real conditions?
What They Track
Number of hazards identified
Hazard identification rate per worker or per labor hour
Distribution of hazards (by department, shift, task, etc.)
Who is identifying hazards (frontline workers vs. supervisors vs. safety staff)
Why They Matter
High identification = engaged workforce
Low identification = fear, apathy, or lack of field presence
They reveal whether the organization is truly “looking for risk”
2. Risk Rating Metrics
Once hazards are identified, the next step is to rate their risk so the organization can prioritize.
Risk Rating Metrics evaluate:
Severity of potential harm
Overall risk level (using a matrix such as 3×3, 4×4, or 5×5)
Distribution of risk across the organization
What They Reveal
Whether the organization is finding mostly low‑risk hazards
Whether high‑risk hazards are being identified and escalated
Whether risk ratings are consistent across teams
Whether leaders understand credible worst‑case severity
Why They Matter
They prevent “hazard blindness” where all hazards are treated equally
They help leaders allocate resources to the highest‑risk issues
They show whether the organization is improving or degrading over time
3. How the Two Metrics Work Together
Dr. Ayers emphasizes that neither metric is meaningful alone:
High identification + low risk ratings → workers may be finding only minor issues
Low identification + high risk ratings → workers may be afraid to report
High identification + high risk ratings → strong visibility into real risk
Low identification + low risk ratings → dangerous blind spots
Together, these metrics show:
Quality of hazard identification
4. Common Pitfalls
Dr. Ayers highlights several traps organizations fall into:
Counting hazards without rating them Leads to poor prioritization.
Rating hazards without finding enough of them Indicates weak field engagement.
Inconsistent risk scoring Teams interpret severity and likelihood differently.
Ignoring credible worst‑case severity Underestimates true risk.
Using the metrics to punish This kills reporting instantly.
5. How to Improve These Metrics
A. Increase field engagement
Leaders must spend time where the work happens.
B. Train teams on consistent risk scoring
Use examples, calibration exercises, and group scoring.
C. Encourage reporting
Reward identification, not silence.
D. Prioritize high‑risk hazards
Fix severe hazards first, even if they are rare.
E. Track trends over time
Look for patterns in both identification and risk levels.
6. Leadership Takeaways
Treat hazard identification as a positive behavior
Use risk ratings to prioritize action, not justify inaction
Look for patterns, not isolated numbers
Build a culture where workers feel safe reporting hazards
Use these metrics as leading indicators of system health
7. Practical Example (in the spirit of the episode)
A facility identifies 100 hazards in a quarter:
If the previous quarter had 0 high‑risk hazards identified, this doesn’t mean risk increased—it may mean workers are finally identifying the real hazards that were always there.
This is why identification metrics and risk rating metrics must be interpreted together.
