Their checkout process worked fine in testing but failed intermittently in production. We spent two weeks analyzing user session data and server logs. The culprit? A third-party analytics script that occasionally blocked form submission on slower connections.

After implementing asynchronous loading and adding fallback handling, they stopped losing customers at the final step.

Drivers reported the app would freeze when switching between delivery stops. The dev team couldn't replicate it in their office tests. We tested on actual routes—turned out the issue only appeared in areas with spotty network coverage.

Poor offline data handling was causing the freezes. Once we helped them implement proper local caching and sync protocols, drivers stopped cursing their phones.

Their dashboard loaded fine with small datasets but became unusable as customer accounts grew. Every query was pulling entire datasets instead of paginating properly. Plus, they had no database indexing strategy.

We documented the performance bottlenecks and provided specific optimization recommendations. Their team implemented the changes over six weeks. Now the platform handles accounts with millions of transactions without breaking a sweat.

Their leave request workflow had a subtle bug—approved requests would occasionally disappear from the system. It took us three weeks of database forensics to find it: a race condition when managers approved multiple requests simultaneously.

The bug only appeared under specific timing conditions, which is why it evaded their QA process. After we identified the exact code path, their developers fixed it within days.