Case study
Loggy
Stabilization plus product growth for a vehicle-focused logging app: new maintenance log types, subscriptions, an AI chatbot, in-app support, refreshed screens, and stronger phone and tablet coverage, without returning to firefighting.
Loggy serves people who track vehicles and maintenance over time. The app had loyal users but painful reliability: cold starts, crashes, and ANRs were eating trust faster than the roadmap could compensate. We stabilized the release train first, then shipped a steady stream of product work, new log types for vehicle maintenance, monetization, conversational help, customer support inside the app, visual modernization, and responsive layouts that hold up on tablets as well as phones.
- Engagement
- Dedicated team + periodic QA bursts
- Timeline
- Multi-quarter program (stabilize → grow)
- Platforms
- iOS, Android, and tablet-friendly layouts
Client context
Cross-platform mobile (iOS and Android), third-party SDKs on different upgrade cadences, and crash clusters around onboarding, media, and sync. Owners and fleet-minded users expected logging flows to work offline and on larger screens, not only on flagship phones.
Challenge
Crash-free rates and ANRs were below what the stores and users expect. Dependency drift made every change feel risky, while the business still needed subscriptions, richer logging, and help experiences that would not multiply support load. Tablet and mid-size layouts had accumulated debt alongside phone-only assumptions.
Approach
We started with instrumentation, symbolication, and a ranked fix loop for top crashers and ANRs, backed by device-lab smoke runs. Once metrics trended the right way, we ran parallel tracks: platform hardening and release discipline on one side, and feature slices (maintenance logs, billing, chatbot, support, UI refresh, responsive breakpoints) on the other, each behind the same checklist so new work did not undo stability gains.
What we shipped
We hardened networking, media, and background work; cleaned up startup paths; and introduced canary-friendly releases. On top of that foundation we delivered new log types tailored to vehicle maintenance workflows, a subscription model with in-app purchase flows, an AI chatbot for guided help, in-app customer support so users could reach the team without leaving the product, modernization of key page designs for clarity and consistency, and broader mobile compatibility, including tablet-friendly layouts and touch targets where layouts had previously been phone-only.
Screenshots
Product captures from the live experience. Layouts and third-party branding belong to their respective owners.
Outcomes
- Crash-free sessions and ANR hotspots improved across priority signatures after targeted refactors and scheduling fixes.
- Users gained maintenance-specific logging, subscription access, and in-product help without a spike in support tickets from broken flows.
- Refreshed screens and improved responsiveness made core tasks workable on tablets and mixed device sizes, not just small phones.
- The team kept shipping roadmap features on a predictable cadence instead of alternating between hotfixes and stalled releases.
Technical highlights
- Crash analytics, triage, and a prioritized fix loop so large feature bets did not land on a brittle base
- New vehicle maintenance log types extending the core logging model and validation paths
- Subscriptions with store-compliant purchase and restore flows
- AI chatbot and in-app customer support integrated without sacrificing startup time or error recovery
- UI modernization on high-traffic pages plus responsive layout work for phones and tablets
- Dependency and SDK upgrades with regression coverage on representative devices and screen sizes