Performance Engine Overview
Use this article to compare performance responsibly and to interpret simulations and coaching output.
Availability: Plan-dependent5 min readLast reviewed September 3, 2026
How to Use It
- Benchmarking compares compatible operational measures.
- Simulations explore assumptions and scenarios; they do not predict outcomes with certainty.
- Coaching suggestions require human review.
- Comparisons must use consistent definitions, units, periods, and populations.
- Cross-company analysis must protect confidentiality and use appropriately governed data.
- A favorable benchmark does not establish causation.
Comparable Means Comparable
Two teams measuring "response time" with different start events are not comparable, no matter how similar the charts look. Confirm the definition, unit, period, and population before drawing a conclusion.
Simulations are a way to make assumptions explicit. Record the assumptions alongside the scenario so a reviewer can challenge them rather than the output.
Troubleshooting
- A benchmark shows an implausible gap.
- Compare definitions and populations first. Most implausible gaps are definitional, not operational.
- A simulation result changes dramatically between runs.
- Check which assumptions changed and whether the underlying history is sufficient to support the scenario.