LEARNER - After State: Massively improving attrition
To validate the effectiveness of simulation-based training, ResultsCX ran a controlled pilot comparing eight classes trained with iorad against eight classes using traditional, non-simulation training methods. All classes supported the same type of work and were launched within the same timeframe, allowing the team to isolate the impact of applied, interactive learning on agent readiness and performance.
The results were immediate and significant. Classes trained with iorad experienced a dramatic reduction in early-stage attrition, dropping from roughly 30 percent in the control groups to under 10 percent in the iorad-enabled cohorts. Agents who had access to interactive tutorials demonstrated higher confidence in system navigation, achieved customer satisfaction benchmarks more quickly, and ramped into productive work faster than peers who relied on static training materials.
One of the most impactful outcomes came from early system exposure. Even before agents received live system credentials, iorad allowed them to practice workflows in a simulated environment. This early familiarity reduced cognitive overload once real access was granted and minimized the “first-day panic” that often leads to no-call, no-show attrition. By reinforcing correct behaviors through repetition and simulation, ResultsCX was able to drive measurable improvements in skill development, behavioral change, and overall agent retention.
A measurable impact on agent performance and retention
In an eight-class pilot comparing groups using iorad vs. traditional training methods:
- Attrition dropped from ~30% to under 10%
- Agents using iorad hit CSAT benchmarks out of the gate
- Throughput improved due to early tool confidence
- Agents practiced in their systems weeks before receiving logins