Workplace Safety Use Case
A guide to implementing Auto Insights for a workplace safety use case, including data structure and sample questions.
Auto Insights can help operations teams analyze injury patterns, measure the effectiveness of safety training, and uncover response anomalies.
This article covers:
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 that Auto Insights can help answer through a combination of its proactive insights, Search, and What caused this? analysis:
Analyze 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 an 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 (for example, Number of injuries) and 5 segments (for example, 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.
Segments
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:
Measures
A measure is a quantitative, numeric value. Some of the typical measures include injury events, training events, etc.