Post-ECG · Screen 1 of 4
9:41
Home
Wednesday, Apr 30
Today's EKG
KardiaMobile 6L
❤️ Possible AFib · 134 BPM
9:38 AM
VIEW TRACING →
Apple Health · Last Night
🍎 Apple Health Integration
Synced 6:45 AM
5.2
hrs sleep
⬇ Below target
4,831
steps
⬇ Below target
38
ms HRV
⬇ Low baseline
KardiaAI Insight
🤖
KardiaAI
Powered by Curai · Just now
Your EKG shows possible AFib this morning. Looking at your Apple Health data, your sleep dropped to 5.2 hrs and HRV fell to 38ms — both known AFib triggers. This pattern appeared on 3 of your last 5 high-burden days.
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💡 Design Rationale

Screen 1 · Post-ECG + Apple Health
What you're seeing
The moment after a KardiaMobile ECG shows AFib — but instead of just classifying the arrhythmia, the AI immediately synthesizes it with Apple Health data (sleep, steps, HRV) to surface a cross-signal pattern the subscriber couldn't see alone.
Why this design
Sleep deprivation and low HRV are well-established AFib triggers. Showing both signals together — and naming the pattern — is what differentiates this from a basic ECG classifier or a ChatGPT answer. The AI acts like a clinician who knows the full context.
What we're testing
Does seeing sleep + HRV alongside ECG feel useful or overwhelming? Does "your sleep and AFib are connected" feel empowering or alarming? Does this create enough trust to tap "Talk to a doctor"?

👋 Quick tip

Tap the 💡 lightbulb on any screen to see the design rationale and what we're testing with subscribers.

9:41
‹ Home KardiaAI Check-In
⚠️ Pattern Detected · 3 Signals Converging
KardiaAI initiated this check-in · 9:41 AM
❤️
AFib burden this week
↑ High
🌙
Avg sleep last 5 nights
5.4 hrs
💓
HRV baseline (7-day)
↓ 38ms
🩺
Blood pressure (last reading)
138/88
🤖
KardiaAI
Powered by Curai
Three signals are converging this week — elevated AFib burden, reduced sleep, and lower HRV. This combination is associated with higher AFib recurrence risk. I want to check in before your next scheduled review. This takes under 60 seconds.
How are you feeling right now?
Tired
Short of breath
Heart racing
Chest discomfort
Dizzy
Stressed
Feeling fine
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💡 Design Rationale

Screen 2 · Proactive Multi-Signal Check-In
What you're seeing
The AI initiates this check-in unprompted — triggered by convergence of 3+ signals, not a calendar reminder. The subscriber wakes up to a push notification and sees this before any manual recording.
Why this design
Proactive outreach based on biometric convergence is what separates this from scheduled pings or reactive support. A subscriber with stable signals won't see this screen. Earned attention, not spam. This is the engagement mechanic that drives retention.
What we're testing
Does "3 signals converging" feel informative or alarming? Does the 60-second format feel manageable? Does the symptom check-in feel relevant? Does this make them more or less likely to engage with the AI companion long-term?
9:41
‹ Check-In Dr. Chen's Assessment
👩‍⚕️
Dr. Sarah Chen
Curai Physician · Board Certified
✓ Reviewed your full health brief
DATA DR. CHEN REVIEWED
❤️ ECG trend (7-day)
🩺 BP readings
🌙 Sleep data
👟 Activity
💓 HRV baseline
"Looking at the full picture — your ECG, blood pressure, sleep patterns, and HRV — I can see a clear lifestyle mechanism driving your AFib episodes. Before adjusting any medication, I want to try a structured lifestyle intervention for 30 days."
Dr. Chen's Plan · 30-Day Lifestyle Rx
Sleep target: 7.5 hrs/night. Use Sleep Focus mode from 10:30 PM.
Activity target: 7,000 steps/day. KardiaAI will track and check in.
Caffeine: limit to 1 cup before noon on high-burden days.
Re-assess ECG burden and BP in 30 days. If no improvement, medication review.
💚
Lifestyle-first approach
Sleep and activity improvements can reduce AFib burden in 3–4 weeks. Dr. Chen will monitor your data daily through KardiaAI.
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💡 Design Rationale

Screen 3 · Whole-Person Physician Assessment
What you're seeing
Post-escalation: Dr. Chen reviewed all 5 data streams before the consult. The subscriber sees exactly what the doctor saw — demonstrating the "pre-briefed physician" value proposition. The prescription is lifestyle-first before medication.
Why this design
This is the proof point that Curai + AliveCor + Apple Health equals whole-person care, not just ECG monitoring. The physician can see the lifestyle mechanism (sleep + activity → AFib) and prescribe accordingly. A cardiologist without Apple Health data can't make this call.
What we're testing
Does "Dr. Chen reviewed your full health brief" build trust in the handoff? Does lifestyle Rx before medication feel empowering or underwhelming? Does the data-pills visualization make the multi-signal value tangible?
9:41
Your Progress
90-day summary · Day 90 of 90

🎉 90-Day Program Complete

Your lifestyle changes drove measurable cardiac improvement. Dr. Chen reviewed your final data.

↓ 28%
AFib burden
127/81
Avg blood pressure
7.4 hrs
Avg sleep
7,340
Avg daily steps
AFib Burden Trend
AFib Burden (% of ECGs)
↓ 28% vs. baseline
Dr. Chen's plan
Baseline (Day 0)
38%
of ECGs showing AFib
Day 90
11%
of ECGs showing AFib
Lifestyle Metrics · Apple Health
🌙 Sleep Duration
+2.2 hrs avg
Lifestyle Rx starts
Baseline avg
5.2 hrs
Day 90 avg
7.4 hrs
👟 Daily Steps
+2,509 avg
7K steps target set
Baseline avg
4,831
Day 90 avg
7,340
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💡 Design Rationale

Screen 4 · 90-Day Outcomes Dashboard
What you're seeing
The 90-day outcome: AFib burden down 28%, sleep up 2.2 hrs, steps up 2,509/day. All three charts show the inflection at "Dr. Chen's plan" (Week 4) — making the causal story legible.
Why this design
The subscriber needs to connect lifestyle changes to cardiac outcomes to feel the value of renewing. Showing sleep + steps alongside AFib burden — with the same inflection point — makes that connection visceral, not just clinical.
What we're testing
Does seeing lifestyle metrics alongside AFib data make the outcome feel personal and earned? Does this make subscribers more likely to renew KardiaCare Plus? Does the 90-day arc create enough narrative momentum?