Positioning
Product identity principles for wearable data systems — what they are, and what they are not.
Framework Application
This document applies to any product that processes consumer wearable data for health and wellness insights.
While examples reference The Governor (the reference implementation), these positioning principles are universal for:
- Sleep and recovery systems
- Fitness and training load platforms
- Stress and readiness scoring tools
- Activity and movement analysis products
- Any biometric feedback system for consumer wellness
What Wearable Data Systems Are
Wearable data systems are personal pattern recognition tools powered by biometric feedback.
They read physiological signals, learn individual patterns, and gently suggest behavioral adjustments when something looks off. They are personal feedback layers — not doctors, not therapists, not training programs.
One-line description template
"A personal [domain] system that learns your baseline and nudges you when your body needs attention."
Examples:
- Recovery: "A personal recovery system that learns your baseline and nudges you when your body needs attention."
- Training: "A personal readiness system that learns your patterns and suggests when to push or rest."
- Stress: "A personal stress awareness tool that learns your patterns and highlights meaningful shifts."
Core identity
| Attribute | Detail |
|---|---|
| Category | Wellness & recovery intelligence |
| Input | Consumer wearable data (sleep, HRV, resting HR) |
| Output | Behavioral suggestions (timing, intensity, rest) |
| Scope | Sleep & recovery intelligence |
| Tone | Calm, optional, personal |
| Authority level | Observer & suggester — never prescriber |
What Wearable Data Systems Are Not
These positioning boundaries apply to all consumer wellness products processing biometric data.
| It is NOT... | Explanation |
|---|---|
| A medical device | It does not diagnose, treat, prevent, or cure any condition |
| A diagnostic tool | It cannot tell users what's wrong with them |
| A therapist | It does not address mental health, emotions, or psychological state |
| A professional training tool | It does not create periodized programs or replace coaching expertise |
| A nutrition advisor | It does not recommend diets, supplements, or caloric targets |
| A longevity platform | It does not make claims about lifespan, healthspan, or aging |
| A replacement for medical advice | Users with health concerns should always consult healthcare professionals |
| Medical-grade hardware | Consumer wearables are estimates, not clinical measurements |
Target User Profile
Primary user
- Wearable owner — Already uses a Garmin, Apple Watch, Whoop, Oura, Fitbit, or similar device
- Pattern-curious — Interested in understanding their own biometric trends
- Self-aware — Wants data-informed nudges, not prescriptive programs
- Non-clinical — Not seeking medical answers from a consumer product
- Tech-comfortable — Understands that AI systems learn over time
Not the target user
- People seeking medical diagnosis or treatment
- Professional athletes needing clinical-grade performance analysis
- Users looking for supplement or pharmaceutical guidance
- Anyone expecting the system to replace a healthcare provider
- Users who want immediate answers without a learning period Consumer Wearable Systems Sit
← Consumer Wellness Medical/Clinical →
Fitbit Whoop Oura [YOUR SYSTEM] Clinical Lab
Tracking Metrics Score AI + Personal Diagnosis + Rx
BaselineKey comparisons (using The Governor as example)
| Compared to... | A well-designed system is... |
|---|---|
| Fitbit / Apple Health | Smarter — learns personal baselines, not just tracking data |
| Whoop / Oura | Softer — suggests instead of prescribes, no judgment |
| Population averages | More personal — compares you to yourself, not strangers |
| Clinical tools | Completely different — not medical, not diagnostic, not regulated |
| ChatGPT health advice | Safer — constrained by hard rules, not free-form hallucinations |
| Medical professionals | Complementary — enhances awareness but never replaces clinical judgment |
The one-sentence pitch template
"Like having a thoughtful friend who notices patterns in your [biometric data] — and knows when to stay quiet."
Examples:
- Sleep: "Like having a thoughtful friend who notices when your body needs a break — and knows when to stay quiet."
- Training: "Like having a thoughtful friend who notices when you're ready to push vs. restnot regulated | | ChatGPT health advice | Safer — constrained by hard rules, not free-form |
The one-sentence pitch
Wearable Data Systems
Universal "Do say" phrases
- "[Domain]-aware AI coach" (recovery-aware, readiness-aware, etc.)
- "Personal baseline system"
- "Behavioral suggestions based on your patterns"
- "Wearable-powered [domain] intelligence"
- "Learns your normal, notices when things shift"
- "Personal pattern recognition"
- "Biometric feedback tool"
- "Deviation-driven insights"
Universal "Don't say" phrasesaseline system"
- "Behavioral suggestions based on your patterns"
- "Wearable-powered recovery intelligence"
- "Learns your normal, notices when things shift"
Don't say
- "Health monitoring system"
- "Medical-grade insights"
- "AI dVoice of Wearable Data Systems
If your system were a person, they should be:
- Observant — Notices patterns without being intrusive
- Gentle — Never alarming, never commanding
- Honest — Says "I don't know" when it doesn't
- Patient — Waits until it has something useful to say
- Humble — Knows its limits and respects the user's autonomy
They should never be:
- A drill sergeant ("your recovery is terrible, fix it!")
- A worried parent ("this is very concerning, you should see someone immediately")
- A know-it-all ("based on the latest research, you need to...")
- A salesperson ("unlock premium insights for better health!")
- An authority figure ("you must follow this protocol")
Legal Positioning
Required for all wearable data products in consumer wellness space:
| Requirement | Implementation |
|---|---|
| Not a medical device | Display in onboarding, settings, and notification footers |
| No medical claims | Enforced by constitutional framework (Hard Rules) |
| User acknowledgment | Onboarding flow includes explicit acknowledgment: "This is not medical advice" |
| Terms of service | Clear limitation of liability regarding health decisions made using the product |
| Regulatory positioning | Product designed to avoid medical device classification in all target markets |
| Healthcare referral | Clear pathways to direct users to healthcare professionals when appropriate |
| Data privacy | Explicit consent and transparency about biometric data usage |
Example Product Positioning: The Governor
The Governor is a recovery-aware AI coach powered by wearable data.
It reads sleep and recovery signals, learns personal patterns, and gently suggests behavioral adjustments when something looks off. It is a personal feedback layer — not a doctor, not a therapist, not a training program.
This is the reference implementation of these positioning principles.
Bottom line: Wearable data systems exist in the space between "knowing nothing" and "playing doctor." They occupy the narrow, valuable middle ground of personal pattern awareness. Stay there. | No medical claims | Enforced by Hard Rules | | User acknowledgment | Onboarding flow includes explicit acknowledgment that this is not medical advice | | Terms of service | Clear limitation of liability regarding health decisions | | Regulatory | Product is positioned to avoid medical device classification in all target markets |
Bottom line: The Governor exists in the space between "knowing nothing" and "playing doctor." It occupies the narrow, valuable middle ground of personal pattern awareness. Stay there.