Auto Insights can help operations teams analyse injury patterns, measure the effectiveness of safety training and uncover response anomalies. You can read more here on our website.

This article will cover:

  • Example insights from this use case

  • Recommended data structure for this use case

What sort of insights can Auto Insights help me uncover?

We've outlined some example questions which Auto Insights can help answer through a combination of its proactive insights, Search, and What caused this? analysis:

Analyse injury patterns

  • Injuries by site location

  • Injuries by cause

  • Seasonality of injuries by cause

  • Injuries by staff age and staff tenure

Measure the effectiveness of safety training

  • Incidents before safety training

  • Events are safety training

  • Severity of incident after safety training

  • Outcome of incident before safety training

Uncover response anomalies

  • Response time to injury

  • Cause of response time delays by month

  • Response time to injury by site location

How do I structure my data?

  • Auto Insights requires structured, transactional data, with at least 1 measure (e.g. Number of injuries) and 5 segments (e.g. Site location). In addition, we recommend at least 7 months of data (at monthly or daily granularity) so you can take full advantage of Auto Insights' Unexpected Changes feature.

Example data structure

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Please refer to this article for more information about data structure.


Here are some of the typical segments we find in workplace safety data. A segment is a qualitative value, like names or categories:

  • Employee attributes:

  • Injury attributes: 

  • Other attributes:


A measure is a quantitative, numeric value. Some of the typical measures include injury events, training events, etc.

Related material
Workplace safety use case
What type of data can be used in Auto Insights?
Quick guide to Auto Insights

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