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Overview

Overview

Summary

Summary

Problem

Problem

Discovery

Discovery

Solution

Solution

Validation

Validation

Reflection

Reflection

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Skeeper Care — Digital Health & IoT

Lifting D30 retention by 19pt by turning measurements into a daily habit

Service

Skeeper Care (Heart & Lung Monitoring App)

Feature

Home & health routine

Role

UX lead: strategy, flows, and Home design (1 of 2 designers)

Worked with

Product Designer, Developers (Android, iOS)

Summary

Retention was a habit problem, not a feature problem

Retention was a habit problem, not a feature problem

Skeeper Care is an IoT health platform.

We solved the low engagement issue by turning irregular measurements into a guided health routine.

Current usage pattern

  • Usage was reactive rather than preventive.

  • Lack of guidance led to inconsistent logging and high churn rates.

Designing the measurement loop

  • Designed a step-by-step cycle to guide users.

  • Used contextual reminders to encourage consistent measurement.

Key metrics

+37% MAU

Increased user activation via habit-forming features.

+19pt D30 Retention

More users were still measuring a month after signup.

Problem

Problem

Problem

The paradox of hardware success

The paradox of hardware success

User Perspective

"The device is enough for me."

  • Instant hardware feedback made digital logging feel like a redundant chore.

  • Lack of long-term motivation to open the app.

Business Perspective

Data stopped at the device

  • Isolated data logs lost clinical value, failing to provide long-term care.

  • High churn rate after the initial product purchase.

Most measurements never reached the app

68.75% of device measurements were taken without opening the app.

Discovery

The real competitor was a paper calendar

The real competitor was a paper calendar

The observed reality

Direct device reliance

Direct device reliance

Users relied entirely on the physical feedback of the hardware, seeing no reason to bridge the experience to the app.

Users relied entirely on the physical feedback of the hardware, seeing no reason to bridge the experience to the app.

Users relied entirely on the physical feedback of the hardware, seeing no reason to bridge the experience to the app.

Preference for paper logs

Preference for paper logs

Some users were already recording data manually on paper calendars. They valued continuity, but the app failed to match the simplicity of their analog routine.

Some users were already recording data manually on paper calendars. They valued continuity, but the app failed to match the simplicity of their analog routine.

Some users were already recording data manually on paper calendars. They valued continuity, but the app failed to match the simplicity of their analog routine.

Research evidence

Perception gap

Survey (n=48)

50% of users dismissed the app as a non-essential accessory. The core issue wasn't usability, but users simply saw no need for it.

50% of users dismissed the app as a non-essential accessory. The core issue wasn't usability, but users simply saw no need for it.

50% of users dismissed the app as a non-essential accessory. The core issue wasn't usability, but users simply saw no need for it.

Behavioral friction

Field Interviews (n=5)

Users struggled to interpret isolated numbers. Without expert guidance or contextual analysis, the digital data felt meaningless compared to their familiar paper logs.

Users struggled to interpret isolated numbers. Without expert guidance or contextual analysis, the digital data felt meaningless compared to their familiar paper logs.

Users struggled to interpret isolated numbers. Without expert guidance or contextual analysis, the digital data felt meaningless compared to their familiar paper logs.

The goal shifted

The app's competitor wasn't another digital product, but the user’s existing analog habit. We needed to transform "Logging" into a "Guided Health Routine."

Current IoT measurement flow
Current IoT measurement flow
Current IoT measurement flow

Solution 1

Solution 1

Solution 1

A home screen that starts the routine

A home screen that starts the routine

Redesigned the home screen to prompt users with "Ready for today's check-up?", so the app starts the routine instead of waiting to be opened.

Solution 2

Solution 2

Solution 2

A cycle view built on paper-log habits

A cycle view built on paper-log habits

Digitizing the continuity of paper logs. Replaced fragmented charts with a periodic cycle view (7/30 days), mirroring the simplicity and flow of users' familiar analog routines.

Solution 3

Solution 3

Solution 3

Results explained, next check-up scheduled

Results explained, next check-up scheduled

Giving meaning to isolated numbers. Provided contextual analysis for each result and implemented a smart notification system so users always knew when to measure next.

Validation

The routine held up in tests and after launch

The routine held up in tests and after launch

The routine held up in tests and after launch

Behavioral validation

In usability tests with 5 participants, the new check-up routine removed the confusion we saw in the old flow: all 5 correctly identified when their next measurement was due.

Business Impact

+37% MAU

Increased recurring app usage.

*Compared to the 3 months before launch; device sales stayed flat over this period.

+19pt D30 Retention

More users were still measuring a month after signup.

*Data within 90 days of release

"I used to forget my check-ups, but the smart reminders helped me stay consistent. I was able to catch subtle changes and visit the doctor at the right time."

— Beta user, 60s, monitoring hypertension

Reflection

Hardware provides utility; software builds the relationship

Narrative over features

  • Hardware provides the utility, but software builds the relationship.

  • I learned that even the most advanced device needs to give users a reason to return beyond a single measurement.

Designing for habits

  • Shifting behavior requires more than a new feature; it requires respecting existing analog routines.

  • We succeeded by digitizing the intuitive flow and low friction of the paper logs that users already trusted.

What's next?

My next goal is predictive care: helping users see trends in their data before they become problems.

My next goal is predictive care: helping users see trends in their data before they become problems.

My next goal is predictive care: helping users see trends in their data before they become problems.

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