Metrics for Measuring 'Ease of Use'

To quantitatively measure ease of use in complex enterprise software, I rely on a hybrid approach combining standardized surveys with deep behavioral telemetry. First, I establish a baseline using the System Usability Scale (SUS) to get a normalized score out of 100, which allows us to track trends over time. However, SUS alone is insufficient for enterprise contexts. I pair this with specific behavioral metrics: 'Time-to-First-Value,' measuring how long it takes a new user to complete their primary workflow without assistance, and 'Error Recovery Rate,' tracking how often users encounter critical errors and how quickly they self-correct. In a previous role involving a similar B2B platform, we noticed a drop in SUS scores among new hires. By analyzing session replays, we discovered users were stuck at a specific configuration step. We introduced a contextual help overlay and reduced the steps from seven to four. Within two quarters, our Time-to-First-Value decreased by 40%, and Tier-1 support tickets related to onboarding dropped by 25%. This demonstrates that while SUS provides a health check, operational metrics like support ticket volume and task completion rates provide the true ROI of usability improvements, ensuring the product scales effectively for large enterprise clients.