Tunnels, elevators, crowded lecture halls, and battery‑saving modes routinely cut devices off from the network. Designing as if the internet is always present shifts risk onto learners, who face broken screens and reset sessions. Embracing intermittent reality means shipping cached lessons, durable queues, and predictable interfaces that gracefully adapt without scolding users. Share moments when your study flow collapsed because the signal dipped; those examples guide which caching and fallbacks we prioritize in templates and starter kits.
Every second spent staring at a loading spinner weakens recall and reduces willingness to complete a session. When content, images, and quizzes load instantly from a local cache, the brain stays engaged and review tempo remains steady. Service workers remove network latency from critical paths, while IndexedDB persists attempts, hints, and scores. Describe the longest delay you endured before quitting a session; we’ll translate that pain into concrete, measurable performance budgets learners can trust during revision sprints.
Students deserve confidence that their highlights, notes, and spaced‑repetition history survive flaky connections. Local persistence in IndexedDB ensures progress exists on the device first, with encrypted or obfuscated fields where appropriate. Sync becomes a convenience, not a prerequisite for success. Even if sign‑in expires mid‑train, work carries on and merges later. Tell us how you prefer to back up sensitive study artifacts, and we’ll outline privacy‑respecting patterns, from per‑store encryption to selective, opt‑in cloud replication.
Run headless browsers with network disabled, prefill IndexedDB, and confirm quizzes load, submit locally, and remain consistent across reloads. Use Lighthouse, Playwright, or WebDriver to assert cache behavior and error messages. Capture screenshots when requests would have gone to the network. If your tests are flaky, describe the failure mode, and we’ll suggest stabilizers—deterministic seeds, fake timers, and service worker readiness checks—so each run proves genuine resilience, not lucky timing or uncontrolled environment quirks.
Collect aggregate metrics like failed syncs, average outbox size, cache miss percentages, and migration durations, but avoid scraping study content. Sample logs with privacy in mind and document retention. Set error budgets for offline regressions so performance remains a promise, not a wish. If your organization has compliance needs, outline them, and we’ll propose privacy‑preserving telemetry and dashboards that reveal trends, trigger alerts, and inform priorities without exposing learners’ notes, answers, or sensitive personal details.