Wearable Wellness Guide
Wearable Wellness Guide
Sample reports — composite illustrative data. Fictional subscriber, fictional physicians, fictional values. Nothing here describes a real person or a real clinical assessment.

What a subscription actually delivers

Four reports. One year. One person.

These are complete sample reports from a WWG subscription — not excerpts, not mockups. They follow a single fictional subscriber across a full year, so you can see how each tier builds on the one before it.

AI organises and computes. Physicians judge. Every word of clinical interpretation in these reports is written by a named physician — never generated.

Tier 1Weekly

Weekly Physician Report

“What happened this week, and what is worth paying attention to?” A two-minute read. Your metrics against your own baseline, a data-quality grade, and one priority action. Shown at cycle 6 — an early week where a work trip pulled the numbers below range.

Tier 2Monthly

Monthly Summary Report

“What patterns emerged this month?” The analytical tier. Traffic-light dashboard, four-week trend charts, and the Lifestyle Correlation Analysis that no wearable app can produce. Shown at cycle 16, where both the correlation table and the heat map are live.

Tier 3Quarterly

Quarterly Physician Letter

“What has changed over the quarter, and what does the longer pattern suggest?” A letter, not a dashboard — deliberately. Health Arc Narrative, an Outcome Audit of every recommendation, and the Baseline Evolution graphic. Shown at cycle 13, the first quarter. Countersigned by the Medical Director.

Tier 4Annual

Annual Wearable Intelligence Review

“What does the full year tell us?”The flagship. Twelve-month sparklines, a full-year Recommendation Retrospective, and “What Only a Year Reveals” — findings structurally impossible at any shorter horizon. Shown at cycle 52, personally authored by the Medical Director.

Why the four cycle numbers differ

Each sample is shown at the cycle where its own defining feature first becomes available — not at one shared snapshot date. That is deliberate, and it is what makes the set honest.

ReportCycle shownWhy this cycle
Weekly6A typical early-tenure week, with the personal baseline just active from week 5
Quarterly13Must be cycle 13 — the Baseline Evolution graphic is structurally defined as week 4 vs week 13
Monthly16Past week 12, so both the correlation table (week 8+) and the heat map (week 12+) are live
Annual52The first Annual Review — shown deliberately without year-over-year comparison, which does not exist for a first-year subscriber

These are four documents, not one template

Depth increases with cadence. Chart density does not — and that is the clearest evidence these are purpose-built. The Quarterly deliberately drops the dashboard entirely in favour of narrative.

CapabilityWeeklyMonthlyQuarterlyAnnual
Question answeredWhat happened this week?What patterns emerged?What changed this quarter?What does the year say?
Charts0616
DashboardYesDeliberately absent
Physician narrative129 words572 words731 words1,047 words
RecommendationsOne priority sentenceFull 4-element format3 named prioritiesYear-2 forward plan
Baseline comparison6-cycle avg + baseline4-week windowWeek 4 vs week 13Week 1 vs week 52
AttestationPhysician pairPair + full QA+ Medical Director countersignature+ Medical Director authorship
AudienceSubscriberSubscriberSubscriber + providerSubscriber + provider + shareable

Also in this set

The shareable Year in Review card → — produced as a separate file from the Annual Review, at photographable dimensions, carrying counts and directional statements only.

About the data

All four reports follow one fictional subscriber, “Alex Rivera,” across 52 consecutive weekly cycles. The dataset is internally consistent: weekly values aggregate into the monthly figures, monthly into quarterly, quarterly into annual. Every chart on every page is drawn from the same underlying series.

No real subscriber data, no real physician names, and no medical registration numbers appear anywhere in this gallery. Physician names are clearly fictional and labelled as illustrative throughout.

Sample reports — composite illustrative data. Fictional subscriber, fictional physicians, fictional values.