Attune
A modular AI-powered adaptive health companion for contextual health support
the role and process
Solo designer
Concept, Research, System Design, UX flows, UI Design, Motion and Prototype
12 weeks · Figma
the problem
We’ve built a world where health tech means more tracking, more data, more pressure.
But we’re still confused, tired, burned out - because most systems overwhelm instead of guide.
“10,000 steps, sleep score 78? Okay... now what?”
deeper context
People who manage chronic conditions on top of living their lives - tracking health can feel like a second job.
They log, track, follows the rules...but still don’t know what their body’s trying to say.
The data just sits there.
It’s not that they are unmotivated.
It’s that they are tired of doing everything right and still feeling lost.
“
Health tracking needs to be holistic. It needs information from every aspects of our life, only then the insights provided and the analysis would make sense.
26, Female, dealing with PCOS
So how do we make health feel less like a full-time job and more like a quiet support system?
Attune
so I built attune
This isn’t another tracker app.
It’s a reimagining of what health tracking could be - if it accounted for everyday patterns, pace & emotional bandwidth, with AI-powered pattern recognition.
Unlike other trackers that give you raw data,
Attune adapts to your whole health experience based on:
bandwidth
Your mental capacity
intent
What you want to focus on
data
How much data you want to share
And works at the intersection of -
intent
bandwidth
data
To give you one insight and one action.
how does it work?
Attune starts by asking you to select your mode
This isn't about beginner vs. expert.
It's about your real-life capacity—right now.
mode selection
The system logic
Your Setup
User selects mode
Shares basic signals (e.g., cycle, sleep, goals)
2. System Syncs Data
Pulls your latest entries
Checks how much data it has access to
4. Calculates Bandwidth
Mode selected
Based on time of day, symptom stack, fatigue signals, maybe even pacing
3. Recognizes Patterns
Cross-checks your signals with science and your past trends
To give you one insight and one action.
low mode: Dash
low mode: insight
🟢 low mode: just basics
Ideal for: burnout days, chronic flares, or when you just can’t.
→ Tracks only simple inputs: sleep, steps, mood
→ Gives you just one gentle insight a day
→ The design strips things back — Because at low bandwidth, even looking at data can feel like work.
attune experience
→ Attune shows:
“Energy often dips here mid-cycle. You’ve had two rough nights. Keep today light.”
intent
bandwidth
data
🟢 Low mode selected
Just get through today.
Only sleep + cycle (auto-synced)
mid mode: Dash and insight
🟡 mid mode: some context
Ideal for: cycle-aware folks, or when you’re managing patterns with unpredictable schedules
→Adds extra signals like cycle phase, energy patterns, calendar
→Gives context-aware insights for the next few days
attune experience
→ Attune shows:
“You’ve got two back-to-back calls during a known low-energy phase. Try shifting the second one, or block 30 mins after.”
intent
bandwidth
data
🟡 Mid mode selected
Stay in sync with my cycle and avoid burnout.
Cycle + calendar + past patterns
🔴 full mode: the full picture
Ideal for: planning a whole week, for high data users to understand longer patterns
→Uses wearables, heart rate, glucose, mood, sleep, cycle — the whole toolkit
→You gets this week’s shifts, next week’s prediction, and a full insight breakdown. Like a quiet coach
full mode: Dash
full mode: insight
attune experience
→ Attune shows:
“You’ve had 3 days of poor sleep, emotional volatility post-ovulation, and high HRV variability. Avoid new commitments until Friday — recovery is overdue.”
intent
bandwidth
data
🔴 Full mode selected
Understand patterns and make adjustments.
Cycle, sleep, mood logs, HRV, calendar, journaling
how does attune decide the experience?
It’s how you set it up.
Based on which mode you choose during onboarding
signal selection
After you select a mode, Attune starts by asking which signals you care about, depending upon your mode
choose data sources
You control what you connect, and Attune adapts based on what it gets.
🟢 Low mode
🔴 Full mode
add context
what makes attune different
Context helps, but it is not required.
Even if you’re in the same mode, your experience can shift depending on:
mood
Mood isn’t just about how you feel.
It’s a signal that helps Attune understand your energy shifts and stress patterns more clearly.
mood tracking
schedule sync
your schedule
The calendar is not for scheduling — it’s a context layer.
It’s not just tracking your day, it’s responding to your day.
“You have a class in 2 hours and you’re on your period? Eat something sustaining now.”
→ how attune would respond
adaptability
attune doesn't just track, it adapts to your rhythm
modularity and adaptability
Same user. Different days. Different needs.
STATE: 3 nights of poor sleep. Brain fog. Just trying to function.
NEED: No inputs, no overwhelm — just gentle help.
🟢 low mode: just basics
STATE: Busy week of work and workouts. Prepping ahead.
NEED: Wants support for energy dips, without tracking everything.
🟡 mid mode: some context
STATE: PMS week. Energy is inconsistent, patterns unclear.
NEED: Wants to forecast dips and adjust proactively.
🔴 full mode: the full picture
Energy bubbles on dash
predictive , not reactive
Over time, attune would not only start reacting but predicting your rhythms.
“Thursday: You’ve had 2 low days - might feel foggy.”
→ predictive response from the system
the process
this wasn’t a problem to solution product
I built this system by starting from insight and intuition, then validating backward. My method was signal-first, behavior-mapped, not strictly user-flow-led.
insight and intuition
Started with lived experience ( 11 years of type 1 diabetes) and emotional patterns, not a problem statement.
signal first mapping
→ Looked at user behavior patterns
→ Focused on emotional + contextual signals instead of fixed flows
Mapped how those feelings show up in the body and in data.
synthesis → system
Built a lightweight system that adapts to those signals.
validation layer
3 user interviews + 1 long survey
Targeted competitive research
The thinking behind Attune:
Health isn’t linear. It’s a rhythm. Changing, pulsing, adapting.
Attune meets it with quiet design: modular, intuitive, and emotionally aware.
Not another dashboard of rings. A system that listens instead of shouts.
A quiet rebellion against rigid “smart” trackers.
What if we designed feedback that adapts to intent and emotional bandwidth—over time?
The future:
Why doesn’t this exist yet?
Most health tools are built around data availability, not human capacity.
They assume people always have the energy to engage.
But real life isn’t consistent. Focus shifts. Bandwidth fluctuates.
Attune exists because most tools don’t adapt to the user. They just expect more from them.
Its potential?
Modular = it grows with the user
Data-agnostic = adapts across wearables, self-reports, APIs
Scalable = works across conditions, cycles, and energy states
How it fits into the real world:
B2B: Health orgs can personalize support based on bandwidth
B2C: Freemium core + deeper insights via upgrades
API/SDK: Plug modular logic into existing apps to reduce overwhelm
Exploring a concept of dynamic nudges, to makle nudges interactive so users can interact with them
Attune isn’t tied to one device or diagnosis.
It’s a system built for how humans actually feel, not just what they track.