Integration checkpoint for epic-speech-to-text-input-speech-engine
epic-speech-to-text-input-speech-engine-integration-task — Integration Task
Integration Purpose
Verify integration with dependent epics: epic-speech-to-text-input-foundation
This integration checkpoint ensures proper coordination and compatibility between different epics. It verifies that all interfaces, data flows, and dependencies are correctly implemented before proceeding.
Integrates With Epics
Execution Context
Tier 5 - 253 tasks
Can start after Tier 4 completes
Handles integration between different epics or system components. Requires coordination across multiple development streams.
| Status | pending |
| Type | Integration |
| Estimated | 4h |
| Tier | 5 |
The speech_to_text Flutter package delegates accuracy entirely to the OS-native engine. Norwegian accuracy for domain-specific vocabulary (medical terms, organisation names, accessibility terminology) may fall below the 85% acceptance threshold on older devices or in noisy environments, causing user frustration and manual correction overhead that negates the time saving.
Mitigation & Contingency
Mitigation: Configure the SpeechRecognitionService with Norwegian as the explicit locale and test against a representative corpus of peer mentoring vocabulary on target devices. Expose locale switching so users can fallback to Bokmål vs Nynorsk. Clearly set user expectations in the UI that transcription is a starting point for editing, not a finished product.
Contingency: If accuracy is consistently below threshold on specific device/OS combinations, add a device-capability check that hides the dictation button with an explanatory message rather than offering a degraded experience. Document affected device models for QA and org contacts.
The speech_to_text Flutter package is a third-party dependency that may introduce breaking API changes or deprecations on major version upgrades, requiring rework of SpeechRecognitionService when Flutter or platform OS versions are updated.
Mitigation & Contingency
Mitigation: Wrap all speech_to_text API calls behind the SpeechRecognitionService interface so that package changes are isolated to one file. Pin the package version in pubspec.yaml and review changelogs before any upgrade. Write integration tests that exercise the package contract so regressions are caught immediately.
Contingency: If the package is abandoned or has unresolvable issues, NativeSpeechApiBridge already provides the platform-channel abstraction needed to implement a direct plugin replacement with minimal changes to SpeechRecognitionService.