Turn testing data into purposeful decisions

1. Build a reliable view before drawing conclusions

Agree on consistent definitions for test reason, status, collection date, released result, location, and reporting period. Review available fields with Unity as part of the API scope. Track completion rates, time between process steps, and missing information. Compare equivalent populations and use rates rather than raw counts when locations differ in size. Keep random, pre-employment, and post-accident testing separate so their different purposes do not distort the picture.

2. Focus attention on workplace safety

Use appropriately aggregated testing trends alongside incident and near-miss measures to identify questions for your safety team. A pattern might prompt a review of scheduling, supervisor training, fatigue controls, or access to employee support. Set a measurable goal, such as reducing accidents per hours worked, and evaluate the combined safety effort over time. A test result by itself does not establish impairment at the time of an incident or prove what caused it.

3. Connect program performance with workforce outcomes

Where permitted, compare aggregate program measures with retention, absence, and workforce health-cost trends. Ask whether avoidable administrative delays are disrupting onboarding, whether support resources are reaching employees, and whether process changes coincide with lower attrition or medical costs. Use the findings to improve processes and support, not to label employees or infer a medical condition from a dashboard.

4. Investigate operational losses with context

Inventory shrinkage, equipment theft, damage, and downtime are important business measures. Reviewing their aggregate trends alongside program activity can help leadership decide where a broader operational review is warranted. Include inventory accuracy, access controls, maintenance, staffing, and reporting practices in that review. Testing data alone cannot identify who committed theft or establish that substance use caused a loss.

5. Measure what changes after you act

Record a baseline, the action taken, its owner, and a review date. Track accident frequency, retention, medical-cost trends, and operational losses alongside program completion and turnaround measures. Account for changes in headcount, hours worked, seasonality, and testing mix. A trend is a signal to investigate; demonstrating that a program caused an improvement requires a suitable evaluation. Lower costs and fewer losses are objectives to measure, not guaranteed results.

Useful insight starts with appropriate access

Design the integration around a defined purpose and the minimum necessary data. Use aggregate or de-identified views for broader business reporting, restrict identifiable results to authorized recipients, and avoid reporting small groups that could reveal individuals. For DOT testing, 49 CFR 40.321 limits third-party disclosure of individual results and medical information. An API connection does not itself authorize disclosure or unrestricted reuse.

Bring Unity the decisions you want to improve and the tools your team already uses. Together, we can scope the data connection and reporting workflow around those goals.