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Digital health · WearablesiOS & Android appSmart coach + care team

all.health

A smart coach and a real care team, built on the data from your band.

My roleProduct designer
Team4 developers
Year2025
UsersMembers on an integrated health plan
PlatformiOS & Android
How all.health turns band data into daily habits

A short film cut from the real all.health app designs, with generated ambient music. Names and readings are sample data from the mock-ups.

The 60-second version

all.health at a glance.

Lead with a story and one next step. Keep the full charts one tap away.

Problem

A band, a scale and a blood-pressure cuff collect thousands of data points a day, but numbers alone don’t change habits, and members felt far from the clinicians behind their plan.

Solution

A smart coach that turns band data into morning and evening briefs, nudges and one-tap tasks, a timeline of the day, deep data views, and a care-team chat with text, photo and voice.

Key trade-off

Show everything the band measures, or just what matters today? Lead with a story and one next step, and keep the full charts one tap away.

My role

Product designer, working with a team of 4 developers. I designed onboarding and band pairing, the smart coach, Today, data.health, the care team and profile, plus card types and edge-case states.

01 · Problem

Lots of data, very little direction.

all.health pairs a wrist band with a scale, a blood-pressure cuff and a glucose meter, and connects members to a team of clinicians. The data was there. The question was what to do with it.

Raw charts ask people to be their own analysts. Members needed to know how they slept, whether today was on track and what to do next, without reading graphs. And because it’s health data, the product had to earn trust from the very first screen, from consent and privacy to pairing the band.

01

Numbers, not meaning

A sleep score of 72 means little on its own. People needed the “so what” and the next step.

02

Setup is a hurdle

Accounts, consent, Bluetooth, pairing and Apple Health access: lots to do before any value appears.

03

Care feels far away

Clinicians were part of the plan, but reaching them felt formal and slow.

How might we

…turn a band’s constant stream of data into a few clear, timely next steps, and keep a real care team one message away?

02 · Research

Designing around a day, not a dashboard.

We mapped a member’s day, from waking up to going to bed, and asked what the band knows at each moment and what the person actually needs.

That “day in the life” became the backbone of the product: a brief in the morning, nudges during the day, a recap in the evening, and data when you want to dig in. To test it, we planned interviews, clinician input, a competitor review and an analytics plan around one question: how do people track their health, read wearable data, react to notifications and decide when to seek care?

Today card types board: to-dos, daily briefs, tasks with goals and signals
From the design file: every card type on the Today timeline, from to-dos and reminders to completed goals and signals.

User interviews Research plan

MethodSemi-structured, one-on-one
Participants10 users (target)
Duration30–40 min, remote
AnalysisAffinity mapping & thematic analysis

The active tracker

Ages 22–35. Uses a smartwatch or fitness tracker regularly; interested in sleep, activity, recovery and performance trends.

The health-conscious user

Ages 35–50. Tracks a few health indicators and wants understandable information without complex medical terms.

The care-seeking user

Ages 50–65. Wants to follow trends, understand concerns and share relevant information with healthcare professionals.

The 10 interview questions
  1. How do you currently monitor your health and daily activity?
  2. Which health metrics do you check most often, and why?
  3. Describe a time your wearable showed a reading you didn’t understand.
  4. What do you usually do after an unusual health notification?
  5. What frustrates you most about your current health-tracking app?
  6. How useful do you find personalised health recommendations?
  7. How comfortable are you sharing wearable data with healthcare professionals?
  8. What would make you trust an AI-powered health assistant?
  9. How would you prefer to review your health history?
  10. If you could improve one thing about your current health app, what would it be?

What we expect to hear Hypotheses to validate

01

Understanding health data

“I can see my health score, but I don’t always understand what it means.”

Opportunity: plain-language insights with supporting trends.

02

Knowing what to do next

“When something looks unusual, I don’t know whether to worry or ignore it.”

Opportunity: clear next steps and a path to professional care.

03

Too much information

“There are so many charts that I don’t know which one to look at first.”

Opportunity: progressive disclosure, with the daily summary first.

04

Trusting AI advice

“I’d want to know why the app is recommending something.”

Opportunity: show what data informed each recommendation, and its limits.

Statements are illustrative, not participant quotes.

Affinity map: from themes to design

The notes we listen for, clustered into themes, and the part of the product each one shapes.

Data comprehension
Unclear scoresComplex termsLittle explanation
Design responseConversational smart coach
Daily context
No link to the dayReadings feel random
Design responseChronological Today timeline
Long-term patterns
Trends over weeksMonths at a glance
Design responseDetailed data.health views
Actionability
Uncertain next stepsGeneric tipsHard to find care
Design responseClear care-team access
Trust & control
AI transparencyData privacyClinical reliability
Design responseTransparent permissions and privacy controls
Clinician input

Five questions for the people who give care. Consultation guide

01 · Health metrics

Which wearable measurements are clinically meaningful, and when?

02 · Interpretation

How should abnormal readings be shared without causing unnecessary anxiety?

03 · Recommendations

Which suggestions can be automated, and which need clinical oversight?

04 · Data reliability

How should missing, inconsistent or inaccurate readings be handled?

05 · Escalation

When should members be encouraged to contact a professional?

What it means for design
  • Separate wellness guidance from medical advice
  • Explain uncertainty
  • Avoid unsupported diagnoses
  • Keep professional support within reach

Competitor review

Oura
What they do well

Sleep, readiness and activity in approachable summaries.

Where all.health goes further

Link insights more directly to daily actions and care.

WHOOP
What they do well

Recovery, strain and personalised performance insights.

Where all.health goes further

Explanations that work beyond fitness audiences.

Apple Health
What they do well

Aggregates health categories and long-term trends.

Where all.health goes further

Contextual guidance across different signals.

Fitbit
What they do well

Daily activity, goals and progress tracking.

Where all.health goes further

Personal explanations and smoother paths to care.

Directional observations, not a scored usability study.

What we’ll measure

Seven signals, grouped by where they sit in a member’s journey.

01Getting set up
  • Onboarding completionDo people finish setup?
  • Pairing successWhere does connecting the band break?
02Everyday use
  • Insight engagementDo people open the explanations?
  • Coach interactionHow often is the coach used?
  • Timeline engagementDo people revisit past events?
03Care & lasting value
  • Care-team navigationCan people find professional support?
  • 7- & 30-day retentionIs the value lasting?

Research synthesis

01

Clarity

Explain health data in everyday language.

02

Context

Connect each metric to trends and circumstances.

03

Action

Offer appropriate, achievable next steps.

04

Trust

Be clear about data limits and access to professional care.

These themes shaped the conversational coach, the Today timeline and the dedicated data experience. Next, they need validating through real interviews and usability testing.

03 · Exploration

Three ways to show the same data.

The same night of sleep can be a notification, a card, a story or a chart. We explored where each belongs.

The design file maps “experience flows” for a morning brief, an evening brief, a hydration reminder and a significant move event, each going from push notification to smart-coach card to detail. data.health was explored in light and deep modes, across day, week, month, six months and a year.

Option A

Dashboard first

Every metric on the home screen. Complete, but overwhelming, and it puts the work on the member.

Too much at once
Option B

Notifications only

Lightweight, but easy to dismiss, and there’s nowhere to see the bigger picture.

Too thin
Option C

Coach, timeline, data

A smart coach that speaks first, a Today timeline for the day’s rhythm, and data.health for depth, linked from every card.

Chosen

The experience flows

Morning brief experience flow from notification to smart coach card to detail
The morning brief flow: a notification when the band has crunched the night, a quick loading moment, then the brief on the smart coach.
04 · The key trade-off

Everything the band knows, or what matters today?

Data wanted

Completeness

Heart rate, sleep stages, steps, active burn, idle time, weight, blood pressure, glucose.

Members wanted

Clarity

One sentence about how they’re doing, and one thing to do next.

Our call: story first, data one tap away.

Every card leads with a plain-language headline and a single key number. “Review” opens the full story; “learn more” opens data.health with day, week, month, six-month and year views.

The cost: some depth sits one level down. In return, the first screen is calm, and the charts are there for the members (and clinicians) who want them.

Second trade-off

Privacy

Health data needs explicit consent and clear policies.

…against

Momentum

Every extra onboarding step risks drop-off.

Onboarding shows the whole path upfront (three steps: account, band, health access), explains privacy in plain words before asking for agreement, and keeps a support button on every screen.

05 · The solution

A coach that speaks first.

Six areas of the app, one coaching rhythm. Switch to Long read for the flows, prototype and details.

Onboarding and band pairing, the smart coach, Today, data.health, the care team and the member profile, all built on one card system.

Getting started

Onboarding & band

Account, consent, band pairing and health access, in three clear steps.

  1. 01Welcome & terms
  2. 02Account setup
  3. 03Band pairing & troubleshooting
  4. 04Apple Health access
Every day

Smart coach

Briefs, nudges and to-dos that turn band data into next steps.

  1. 05Morning & evening briefs
  2. 06Hydration & move nudges
  3. 07Today timeline
  4. 08Manual logs
When you want depth

data.health

Every metric over a day, week, month, six months or a year.

  1. 09Activity & steps
  2. 10Sleep score & stages
  3. 11Heart rate, weight & BP
  4. 12Tags & filters
People

Care team & me

A group chat with clinicians, and a profile that holds the plan.

  1. 13Care team chat
  2. 14Mentions, photo & voice
  3. 15Clinician profiles
  4. 16Plans, prescriptions & chronotype
Try it

Tap through the real app.

Ten flows from the final designs, screen for screen. Long screens scroll, just like the real thing. Pick a flow, then tap where the guide points. Turn the guided tour off to explore without hints, or use Next and the arrow keys.

all.health

Every screen is exported straight from the all.health Figma file. Names, readings and clinicians are sample data from the mock-ups.

Flow · Smart coach

A coach that speaks first.

Every app open shows what the coach has found, as cards that each carry one headline and one action.

  1. 1Briefs lead with a plain-language headline.
  2. 2One key number, never a wall of stats.
  3. 3One clear action per card: Review, Log, Add or Read.
  4. 4To-dos you can log in a single tap.
Morning brief, to-do and a short read.1234
Morning brief, to-do and a short read.
Flow · Briefs

Data, told as a story.

Briefs open full-screen in the colour of the moment, with the sentence first, then the number, then the chart.

  1. 1The headline tells you what it means.
  2. 2Then the key numbers.
  3. 3Then the detail: sleep stages across the night.
  4. 4Learn more opens the full data.
Morning brief: a full night of sleep, however…1234
Morning brief: a full night of sleep, however…
Flow · Care team

Your clinicians, in one thread.

A group chat with the whole care team, where each message shows who sent it, and replying works however is easiest.

  1. 1The whole team in one thread; tap to meet them.
  2. 2Each message shows the clinician and their role.
  3. 3Reply with voice, attachments or a photo.
Care team chat with clinicians and the member.123
Care team chat with clinicians and the member.
Flow · Today & data

The whole day, and the long view.

Today lays the day out as a timeline in the colours of each moment; data.health zooms out to weeks and months.

  1. 1A week strip to jump between days.
  2. 2Completed items check off as the band confirms them.
  3. 3A live “now” line.
  4. 4“Today I will” plans sit right in the day.
Today: sleep, briefs, weight, meetings and plans on one timeline.1234
Today: sleep, briefs, weight, meetings and plans on one timeline.
From the design file

The flows behind the screens.

Each area was designed as a full flow, with states, transitions and notes for the team. A few of the boards from the file:

Care team: chat, team list, clinician profiles and mentions.
My care teamCare team: chat, team list, clinician profiles and mentions.
New message from the care team: reply with text, photo, video or voice.
ReplyingNew message from the care team: reply with text, photo, video or voice.
data.health activity across light and deep modes and five time ranges.
Activitydata.health activity across light and deep modes and five time ranges.
Sleep data with tags, from a single night to a year.
TagsSleep data with tags, from a single night to a year.
The member profile: plans, prescriptions and account.
ProfileThe member profile: plans, prescriptions and account.
App Store screenshots for iOS.
App StoreApp Store screenshots for iOS.
06 · Design decisions

The choices that shaped it.

01

Lead with a sentence, not a score

“That was a full night of sleep, however…” comes before the 72 and the sleep stages.

Why: people act on meaning, not metrics.

02

One colour per kind of moment

Honey for briefs, sage for goals met, lavender for to-dos and sleep, peach for hydration and attention.

Why: the timeline is readable at a glance, before reading a word.

03

Every card has one clear action

Review, Log, Add or Read: one verb in the corner of each card.

Why: one next step is easier to take than five.

04

The care team is a group chat

Mentions with @, photos, video and voice notes, plus a profile for each clinician.

Why: familiar patterns make reaching out feel normal, not formal.

05

Show the whole onboarding path

Three steps with sub-steps, a progress bar on each screen and a help button always in reach.

Why: setup feels shorter when you can see the end.

06

Design every state

Missed and overdue to-dos, band troubleshooting, Bluetooth off, behind, on track and ahead.

Why: with hardware in the loop, the unhappy paths are everyday paths.

07 · Validation

Checking it with the people who’d use it.

The design file documents V1.1 revisions across Today, Care Team, data.health and Profile, alongside onboarding iterations: an iterative process focused on navigation, information clarity and the connected health experience.

ReleaseV1.1
Today screen, V1.1Care Team screen, V1.1data.health screen, V1.1Profile screen, V1.1Onboarding screen, V1.1
  • Today
  • Care Team
  • data.health
  • Profile
  • Onboarding
  1. Done

    Iterative design reviews

    With the design and product team, refining the key user flows in the V1.1 revisions.

  2. Next round

    Validate with members and clinicians

    Members, clinicians and the product/design team test the key tasks and how clinicians read the health data.

    Moderated usability testsClinician reviewsBeta feedback
  3. Then

    Use the evidence to prioritise

    Onboarding guidanceClearer health insightsConsistent navigationDiscoverable care-team support
08 · Outcomes

What we delivered.

A unified health experience designed to simplify onboarding, encourage daily engagement, improve health-data understanding, and make care-team communication more accessible.

4coaching momentsMorning, evening, hydration and movement
5data time rangesFrom daily to yearly health-data exploration
3reply formatsText, photo or video, and voice
3onboarding stepsAccount, band pairing and health access
Impact metrics to track

These deliverables create a foundation for measuring how the experience performs.

01Onboarding completion

% completing account, band pairing and health access

02Daily active usage

Unique members engaging with the app each day

03Health brief open rate

% of delivered health briefs that are opened

04Care-team response time

Median time to a first care-team reply

Impact statement

The redesigned experience established a foundation for improving onboarding completion, daily engagement, health brief interactions and care-team communication. By simplifying key user journeys and connecting health insights with actionable guidance, the solution supports a more intuitive and accessible healthcare experience.

These describe intended experience benefits, not measured performance improvements. Verified figures for onboarding completion, daily active use, brief open rates and care-team response times will be added once reliable analytics are available.
09 · Next steps

Where it goes from here.

  • Chronotypes, explored in the file but marked “do not implement” for now
  • Streaks and smart alarms, already sketched in the profile area
  • More connected devices: blood pressure and weight scale pairing flows are designed
10 · Reflection

What I’d tell myself next time.

Write the sentence first. Designing the headline of a brief before its chart kept every screen focused on meaning.

Map the day. A “day in the life” made it obvious when the coach should speak, and when it should stay quiet.

Hardware raises the stakes. Pairing, Bluetooth and sync failures needed as much care as the happy path.

Next time, I’d agree on success metrics with the client before launch, so this page could show numbers, not just deliverables.

Design system

Warm, calm and a little editorial.

A warm off-white canvas, soft sage, lavender, honey and peach for each kind of moment, a slate-blue brand colour, and a serif for headlines that makes data read like a story.

Canvas & brand
Moments

Typography

A serif for headlines and card titles, paired with a clean geometric sans for numbers and labels.

Illustration

Line drawings of the band and chronotype animals, plus playful figures for “did you know” cards.

Components

Coach cardsTimeline itemsTo-do statesBrief storiesChartsRange tabsChat bubblesMentionsVoice notesBottom navProgress stepsPickers

Thanks for reading!

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© 2026 Payel Ghosh · Designed with curiosity, tea and one very fluffy co-pilot