Client stories

Notes from product, QA, and engineering leads who asked us to interpret mobile crash trends before a release or after a noisy spike.

“They walked our release notes against three months of crash clusters and showed which spikes were library upgrades versus genuine user-path failures. The written brief was clear enough for engineering and product to share without rewriting. Turnaround took a touch longer than quoted after we added a second app, but the clarity was worth the wait.”

Priya Nair · Head of Mobile, Edinburgh fintech · Crash Trend Interpretation

“Before a Black Friday build we asked for a release readiness review. They flagged a rising ANR pattern on mid-range Android devices that our dashboards had buried under aggregate rates. We delayed the push by two days and avoided a support queue we would have regretted.”

Marcus Hale · QA lead, consumer retail app · Release Readiness Review

“The half-day triage workshop with our squad was practical: stack traces on screen, decisions written on the board, owners assigned before lunch. I would have liked more time on iOS symbolication quirks, yet the Android session alone changed how we prioritise weekly.”

Elena Vos · Product manager, health tracking startup · Crash Triage Workshop

“Their application analytics audit mapped which crash events actually correlated with churn in our courier app. Not every recommendation suited our sprint capacity, but the ranking by user impact stopped us chasing vanity crash-free percentages.”

Tom Bridger · CTO, logistics software · Application Analytics Audit

Extended note: courier app ANR climb

A logistics client approached us two weeks before a peak-season build. Aggregate crash-free rates looked acceptable, yet onboarding completion had slipped. During the Crash Trend Interpretation we isolated an ANR cluster on mid-range Android devices tied to a map SDK update that only appeared under weak network conditions common to depot yards.

The brief ranked that cluster above several louder but low-impact null-pointer stacks. Engineering rolled back the SDK for the candidate build; support volume over the following weekend stayed within the prior baseline. The mild cost was a delayed secondary feature that depended on the newer SDK—documented in the residual-risk section of the memo so leadership could revisit it after peak.

Extended note: health app iOS symbol gaps

A health tracking team booked a triage workshop after TestFlight feedback mentioned freezes the reporter barely showed. On the call we discovered incomplete dSYM upload for two builds, which had hidden a main-thread layout loop on older phones. The session ended with owners for symbolication hygiene and a short list of layout suspects. Follow-up interpretation a fortnight later confirmed the freeze cluster had collapsed once symbols and a layout fix landed together.