Measuring Behavioral Intervention Effectiveness
- Plan selection rates: Did the intervention change which plans employees chose?
- HDHP adoption rate: Did the intervention increase HDHP adoption?
- Preventive care utilization: Did the reminder nudge increase preventive care visits?
- Telemedicine utilization: Did the framing change increase telemedicine use?
- Medication adherence: Did the reminder nudge improve chronic disease medication adherence?
- Employee satisfaction: Did the intervention improve employee satisfaction with their plan selection?
A/B Testing
A/B testing randomly assigns employees to different versions of an intervention and measures the difference in outcomes. For example: randomly assign half of employees to receive a default enrollment nudge and half to receive standard opt-in enrollment, then measure HDHP adoption rates in each group. A/B testing is the most rigorous way to measure behavioral intervention effectiveness.
The Continuous Improvement Mindset
IQ Insight
Behavioral interventions are not one-time fixes — they require continuous measurement and refinement. An intervention that works in year one may lose effectiveness in year two as employees adapt. Build a continuous improvement process that measures outcomes annually, identifies what is working and what is not, and refines the interventions accordingly.