Planned app foundation

From quick pain log to pattern worth testing.

Symptovue starts with active pain logging, then adds optional context and careful pattern summaries that can become low-risk experiments and better appointment conversations.

Pattern to test6 sessions

Mobility days looked different

In the last 45 days, headache logs tended to be lower after yoga or mobility sessions. This is based on 6 sessions, so read it as a pattern to test, not proof of cause.

Window
45 days
Confidence
Early signal
  1. 1

    Log the pain episode

    Capture where it hurts, intensity, timing, sensation, and what you tried without rebuilding the whole day from memory.

  2. 2

    Connect optional context

    Planned sources include HealthKit, Mac work-session aggregates, and later platform-dependent phone and posture check-ins.

  3. 3

    Review patterns with caveats

    Insight cards show the time window, sample size, confidence, and competing explanations.

  4. 4

    Try a small experiment

    Turn a pattern into a low-risk behavior test, such as a short break habit or evening mobility routine.

  5. 5

    Bring a better summary

    Export an appointment-ready report with trends, body-map heat, interventions, goals, and questions.

Work-session context

Planned Mac companion
6h 52mActive computer time
96mLongest unbroken session
4Breaks over 5 min
38mLate-night minutes

No keystrokes, screenshots, URLs, window titles, clipboard, or screen content.

Optional context

Computer usage is the headline planned signal.

The Mac companion is planned first because it can capture derived workday aggregates cleanly. Windows is fast-follow; phone context is platform-dependent; iPhone support is coarse daily bands rather than exact minutes.

Own-data visualization

The timeline shows source data before it shows a story.

The chart starts with committed pain, PROMIS, PSFS, and intervention entries. Premium overlays are aligned to the engine's lag and labeled as association only.

PainPROMIS / PSFSExposure overlay

Bounded chart views

Body maps and sensitive patterns stay in their lane.

Body-map views use avatar regions, while adverse-reaction charts show intervals, sample size, and lag without turning an association into a trigger or safety verdict.

Experiment loop

Recovery and experiments stay observational.

Recovery charts show uncertainty bands around associations. Experiment views compare baseline and intervention windows as self-observation, not treatment proof.

Uncertainty band

Recovery curve

Slower recovery after high-slouch days · CI +0.4 to +2.1 days · n=7 · lag 1 day

Association with uncertainty band; does not show treatment efficacy or predict future recovery.

Self-observation

Experiment comparison

Baseline/intervention observations only; does not prove treatment efficacy.

Exploration boundary

Exploration stays outside findings.

User-driven exploration is separated from findings, labeled as hypotheses, and moves forward only by seeding a self-experiment.

Quarantined modeHypotheses to test, not findings

Not corrected for multiple comparisons. Exploration never bypasses the AnalyticsEngine gate or safety post-filter.

Seed a self-experiment

Appointment-ready

Export the story without exporting every raw detail.

Reports are planned to summarize trends, maps, interventions, activity context, user goals, and questions while keeping medical-scope language clear.

Sample report

Appointment summary

May 1 - June 14

Pain trend

Most common areas

Neck, right shoulder, tension-type head pain.

Questions

What should I test before the next visit?

General wellness summary. Not a care plan.

Pre-launch waitlist

Help shape the pain tracker for desk workers.

Join for product updates and research invitations. The first release is being built, and concept visuals are labeled until real screenshots exist.

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