Your app works on office Wi-Fi. That is not the test. Here is how we design Android apps for the connections users actually have.
An Android app that assumes a good connection will fail in exactly the moments that matter most — a delivery rider in a basement, a sales agent in a rural area, a customer on a crowded network at 7pm.
Design for the offline case first
Decide early which actions must work without a connection. If a rider must be able to confirm delivery offline, that shapes the data model, not just the error handling.
Queue writes, cache reads
Local persistence with a sync queue turns a network failure into a delay instead of a data loss. The user completes their task; the app reconciles later.
Make sync conflicts explicit
Two devices editing the same record will happen. Silently overwriting is the worst option. Decide the rule — last write wins, server wins, or ask the user — and apply it consistently.
Respect battery and data
Batch requests, compress payloads and avoid polling. Users uninstall apps that drain a battery long before they file a complaint about it.
Test on the devices your users own
Emulators do not reproduce thermal throttling, older chipsets or three-year-old Android versions. We keep a small rack of real, modest devices for exactly this reason.
Writing for SKO TechLabs on software, product and business technology.