SomnoFlow

Health

Original Idea

Sleep Routine Designer A mobile app that nudges bedtime, dims screens, and builds calming sleep routines.

Product Requirements Document (PRD): SomnoFlow (2026)

1. Executive Summary

SomnoFlow is a next-generation mobile application designed to combat "revenge bedtime procrastination" and circadian disruption caused by modern digital habits. By leveraging system-level automation, smart home integration, and neuro-acoustic soundscapes, SomnoFlow guides users through a structured, low-arousal "wind-down" transition. The app focuses on the physiological bridge between active work and deep restorative sleep, utilizing the latest 2026 mobile capabilities to automate behavior change.

2. Problem Statement

High-performance professionals and students suffer from a "digital hangover" caused by late-night blue light exposure and the inability to disconnect from productivity apps. Current sleep trackers are reactive (recording bad sleep); SomnoFlow is proactive, using system-level interventions to "nudge" the user toward sleep before the cycle of sleep deprivation begins.

3. Goals & Success Metrics

  • Routine Adherence: Achieve a 70% weekly completion rate of user-defined wind-down steps.
  • Sleep Onset Latency: Reduce time-to-sleep by an average of 15 minutes within the first 30 days.
  • Digital Sunset Success: 80% reduction in "late-night app opens" during the scheduled wind-down period.
  • Retention: 40% Day-90 retention by becoming an essential part of the user's nightly ritual.

4. User Personas

  • Alex, the Tech-Dependent Professional: Works late, struggles to disconnect, uses their phone until eyes hurt. Needs automation to "force" a break.
  • Maya, the Student with Irregular Cycles: Has different classes every day. Needs a flexible schedule that adapts to her calendar but maintains consistency in routine duration.
  • Jordan, the Recovery-Focused Athlete: Views sleep as a performance metric. Wants granular control over light temperature and binaural beats for optimal recovery.

5. User Stories

  • As a user, I want my screen to automatically dim and shift to amber hues 60 minutes before bed so that my melatonin production isn't suppressed.
  • As a user, I want my smart lights to slowly fade to red when my wind-down starts so that my environment matches my biological needs.
  • As a user, I want a tactile "breathing" nudge from my phone so that I can practice mindfulness without looking at a bright screen.
  • As a user, I want my "Deep Work" apps (Slack, Email) to be hard-blocked after 10 PM so that I don't get sucked into late-night tasks.

6. Functional Requirements

6.1. System-Level Automation

  • Android "Even Dimmer" Integration: Automate the Android 16 brightness slider and software overlays for sub-1 nit dimming.
  • iOS Shortcut Triggers: Use App Intents to guide users to activate "Reduce White Point" and "Night Shift" via deep-linked Siri Shortcuts.
  • App Blocker: Implement Managed Settings (iOS) and Accessibility Services (Android) to restrict access to "Stress-Inducing" apps during wind-down.

6.2. Wind-Down Ritual Builder

  • Step-by-Step Logic: Users create sequences (e.g., 10m Reading -> 5m Stretching -> 5m Breathing).
  • Interactive Nudges: Haptic-led transitions between steps using "Digital Heartbeat" patterns.

6.3. Neuro-Acoustics

  • Binaural Beat Generator: Real-time synthesis of Delta and Theta waves (using react-native-audio-api).
  • Ambient Layers: Gapless looping of high-fidelity environmental sounds (Rain, Brown Noise).

6.4. Smart Home Control

  • Universal Light Dimming: One-tap or scheduled control for Philips Hue (via API V2) and LIFX (via Matter/Thread).

7. Technical Requirements

7.1. Frontend Stack

  • Framework: React Native 0.83.x (Fabric/New Architecture enabled).
  • Animation Engine: Reanimated 4.2.x (CSS-compatible declarative animations).
  • Engine: Hermes V1 with React Compiler enabled.
  • Haptics: react-native-nitro-haptics (Direct UI-thread triggering).

7.2. Backend Stack

  • Runtime: Node.js v24+ (TypeScript 6.0).
  • Database: PostgreSQL with TimescaleDB extension for sleep time-series data.
  • ORM: Prisma with zod-prisma-types.
  • API: tRPC for end-to-end type safety between mobile and server.

7.3. Infrastructure & Integrations

  • Hosting: AWS Amplify Gen 2 (FHIR-compliant data storage).
  • Health Data: react-native-health-link (Unified Apple HealthKit & Google Health Connect).
  • IoT Protocol: Matter.js (v0.16+) for local device control.

8. Data Model (FHIR-Compliant)

| Entity | Key Fields | Relationship | | :--- | :--- | :--- | | User | id, cognito_sub, mfa_enabled, timezone | 1:N with Routines | | Routine | id, steps_json, trigger_time, matter_device_ids | 1:N with Logs | | SleepObservation | id, start_time, end_time, loinc_code, value | Part of PHI Store | | DeviceConfig | id, overlay_intensity, haptic_profile_id | 1:1 with User |

9. API Specification (tRPC Examples)

  • getUserRoutine: Returns the active wind-down sequence and scheduled triggers.
  • syncSleepData: Accepts a batch of FHIR-formatted observations from Health Connect/HealthKit.
  • updateDeviceSettings: Persists system-level override preferences (e.g., max dimming level).

10. UI/UX Requirements

  • Visual Style: "Midnight Mode" default (no pure whites; #000000 backgrounds with deep indigo and amber accents).
  • Transitions: Reanimated 4 "Squishy" UI components that respond with weight and friction.
  • Accessibility: High-contrast modes for visually impaired users; toggleable haptics for neurodivergent users.

11. Non-Functional Requirements

  • Performance: Background tasks must complete in <30 seconds to avoid OS throttling.
  • Security: HIPAA/HIPRA compliance; encryption at rest via AWS KMS; MFA mandatory for PHI access.
  • Privacy: 24-hour breach notification system automated via Amazon GuardDuty.
  • Battery: Zero-impact background monitoring using Android Sleep API (motion/light sensors).

12. Out of Scope

  • Medical Diagnosis: The app does not diagnose sleep apnea or insomnia.
  • Hardware: No proprietary wearable device will be manufactured.
  • Social: No "Feed" or social sharing of sleep data (privacy first).

13. Risks & Mitigations

  • Risk: iOS restricts system-wide blue light filtering via API.
    • Mitigation: Provide an "Automation Guide" that helps users set up a one-time Siri Shortcut.
  • Risk: Google Play's strict "Organization" requirement for Health Connect.
    • Mitigation: Ensure D-U-N-S registration is complete 3 months prior to launch.
  • Risk: High battery drain from audio synthesis.
    • Mitigation: Use C++ Worklets via react-native-audio-api to minimize JS thread load.

14. Implementation Tasks

Phase 1: Project Foundation & Security

  • [ ] Initialize React Native 0.83 project with Fabric enabled.
  • [ ] Configure AWS Amplify Gen 2 with Cognito MFA.
  • [ ] Set up PostgreSQL with TimescaleDB hypertables for sleep metrics.
  • [ ] Implement HIPAA-compliant audit logging middleware in tRPC.

Phase 2: System Integration (The "Nudge" Engine)

  • [ ] Build Android SYSTEM_ALERT_WINDOW overlay for extreme dimming.
  • [ ] Create App Intent modules for iOS "Reduce White Point" shortcuts.
  • [ ] Implement WorkManager (Android) and BGProcessingTask (iOS) for bedtime triggers.
  • [ ] Develop the "App Blocker" logic using Managed Settings API.

Phase 3: Neuro-Acoustics & Tactile UX

  • [ ] Integrate react-native-audio-api with Oscillator nodes for binaural beats.
  • [ ] Implement "Gapless Loop" engine for ambient soundscapes.
  • [ ] Build the "Digital Heartbeat" haptic engine using Nitro Modules.
  • [ ] Create Reanimated 4 "low-arousal" transition components.

Phase 4: IoT & Health Sync

  • [ ] Implement matter.js for local discovery of Hue and LIFX bulbs.
  • [ ] Set up react-native-health-link for bidirectional sync with HealthKit/Health Connect.
  • [ ] Build the FHIR-compliant data mapping layer for sleep stages.
  • [ ] Create the "Routine Adherence" dashboard with TimescaleDB continuous aggregates.

Phase 5: Compliance & Launch

  • [ ] Complete Google Play Health Apps Declaration.
  • [ ] Conduct internal HIPAA security audit and penetration test.
  • [ ] Optimize background battery consumption to <2% per 8-hour window.
  • [ ] Finalize "Digital Sunset" automation onboarding flow.