Case Study · April 2025
Cutting a regression cycle from 4 days to 6 hours
How we restructured the validation strategy for a 5G/LTE observability platform with 100+ distributed RF sensors — and reduced the regression cycle by 16x without adding headcount.
The constraint
When I joined Sensorz as QA Manager in early 2024, the regression cycle was the bottleneck for every release decision: four days, end-to-end, for the SW + RF sensor stack on a 5G/LTE observability platform. Every regression run consumed nearly a full week of engineering attention, and the team had only one production-grade test bench available.
Releases were slipping not because the code wasn't ready, but because the certainty about the code wasn't ready.
The approach
I worked backward from the question: what does a four-day cycle actually contain? The answer was painful. Roughly 60% of the time was spent in serial test execution that could have been parallelized, 25% was manual orchestration of RF telemetry validation, and the remaining 15% was genuine novel signal — the part you can't compress.
We restructured in four moves:
1. Validation strategy for RF telemetry
Defined a tiered approach for RF data integrity across the 100+ distributed sensors. Smoke (5 minutes), confidence (45 minutes), full (4 hours). Each tier mapped to a release decision: PR, internal release, customer-facing release.
2. CI pipeline redesign
Moved orchestration out of human hands and into GitHub Actions. The full regression run was decomposed into independent jobs that could execute in parallel against multiple test beds.
3. Test bench virtualization where possible
Identified the subset of validation that didn't strictly require the physical RF environment, and built simulators for that subset. Roughly 40% of the regression suite shifted to virtual benches that could run any time.
4. Operating model alignment
The hardest part wasn't technical. It was getting Product, R&D, Hardware, and Field aligned on what each tier meant and which one gates which release decision.
The outcome
- Regression cycle: ~4 days → ~6 hours.
- Release decisions stopped being constrained by test runtime.
- The single physical test bench stopped being a bottleneck.
- Defect escape rate trended down (the secondary effect of testing more often, not the primary goal).
What I'd do differently
I'd push harder on the operating-model alignment earlier. The technical work (parallelization, simulators, CI redesign) took six weeks. The alignment work took three months and was the gating constraint for adoption. If I were starting again, I'd run the alignment workshop in week one, not week six.
The lesson I keep relearning: the technical solution is rarely the slow part.