Episode 86 - Safety Metrics

Dr. Ayers introduces the purpose, structure, and limitations of safety metrics, emphasizing that metrics should help leaders understand system performance, predict future risk, and drive action—not simply generate reports. The episode stresses that many organizations misuse metrics by focusing on lagging indicators or treating numbers as goals instead of tools.

This episode sets the stage for the entire safety‑metrics series.

 

1. What Safety Metrics Are Supposed to Do

Dr. Ayers explains that effective safety metrics should:

• Reveal system health, not just outcomes

• Predict future risk, not just record past injuries

• Guide decision‑making

• Highlight weak processes

• Support resource allocation

• Drive continuous improvement

Metrics are diagnostic tools, not scorecards.

 

2. The Problem With Traditional Safety Metrics

The episode critiques the overreliance on lagging indicators such as:

• Total Recordable Incident Rate (TRIR)

• Lost‑Time Injury Rate (LTIR)

• Days Away, Restricted, or Transferred (DART)

These metrics:

• Reflect past events, not current risk

• Are influenced by reporting culture, not actual safety

• Can be manipulated through classification decisions

• Often drive fear‑based behaviors

• Do not help leaders understand why incidents occur

Lagging indicators are necessary but not sufficient.

 

3. The Shift Toward Leading Indicators

Dr. Ayers emphasizes the need for leading indicators—metrics that measure the inputs to safety, not the outputs.

Examples include:

• Hazard identification

• Hazard resolution

• Training completion

• Equipment maintenance

• Field engagement

• Risk assessments

• Quality of controls

Leading indicators help leaders:

• See risk before it becomes an incident

• Identify weak processes

• Strengthen systems proactively

• Build trust with workers

 

4. Characteristics of Good Safety Metrics

According to the episode, strong metrics are:

A. Actionable

They point to a specific behavior or process that can be improved.

B. Understandable

Frontline workers and executives should interpret them the same way.

C. Measurable

Data must be reliable and consistently collected.

D. Relevant

Metrics must reflect real hazards and real work.

E. Leading

They should predict future performance, not just describe the past.

 

5. Common Pitfalls in Safety Metrics

Dr. Ayers highlights several traps:

• Using metrics as goals instead of tools (“We must hit zero injuries” creates fear and underreporting.)

• Focusing on quantity instead of quality Counting inspections without evaluating their effectiveness.

• Measuring what’s easy, not what matters Convenience often replaces relevance.

• Failing to validate data Many organizations discover their numbers are inaccurate.

• Ignoring context A high number of hazards found may indicate strong engagement, not poor safety.

 

6. How Leaders Should Use Safety Metrics

Strong safety leaders:

• Look for trends, not isolated numbers

• Use metrics to ask better questions, not assign blame

• Pair leading and lagging indicators for a full picture

• Share metrics transparently with workers

• Use metrics to prioritize resources

• Treat metrics as conversation starters

Metrics should drive learning, not fear.

 

7. Practical Example (in the spirit of the episode)

A site reports:

• Zero injuries

• Low hazard identification

• Low training completion

• Poor equipment maintenance

On paper, the site looks “safe,” but the leading indicators show a high‑risk environment with weak systems and low engagement.

This is why leading indicators matter.