Why the Existing Logging Feature Wasn’t Working

Before redesigning the logging experience, I analyzed usage data from My Weight — the existing weight logging feature. Across all key markets, engagement was consistently low. 3–8% of users ever interacted with the feature, and, among those who logged their weight, weekly retention dropped below 10%. These numbers revealed that:

• Discovery was poor → Most users never found the feature
• Perceived value was low → Logging gave no feedback or insights
• Habit-building failed → Retention dropped after first log

From a product perspective, this feature was not just underperforming; it was fundamentally misaligned with user behavior and expectations. My challenge was not simply to improve the user interface, but to redesign the experience around behavioral reinforcement.

Behavioral Gaps in the Existing Experience

“What prevents expectant mothers from building a logging habit, and how can we help them succeed?” To answer this, I used Fogg’s Behavior Model to analyze user behavior around My Weight. This states that behavior happens when Motivation, Ability, and a Prompt converge. If any of them is missing, desired behavior is unlikely to happen.

A focused gap analysis revealed key breakdowns across all three components, explaining not just what was lacking, but why users failed to build a logging habit.

Comparative UX Patterns That Informed Strategy

To avoid reinventing the wheel, I conducted a focused comparative analysis of 6+ products across pregnancy, wellness, and symptom tracking apps. The goal wasn’t to copy features but to study interaction patterns that successfully encouraged repeat use. These patterns grounded our design in user behavior, not assumptions.

What Users Actually Need to Build a Logging Habit

Through both user behavior data and comparative analysis, I synthesized 4 core user needs that would inform the redesign. These insights shaped how I defined and scoped the redesign strategy.

Turning User Insights into Design Opportunities

The research highlighted that to increase retention and make logging sustainable, we needed to go beyond merely collecting data and focus on providing value to users at every step. I translated the four user needs into four strategic design opportunities to transform the logging feature from a simple utility into a supportive experience, one that users could rely on and emotionally invest in.

Design Principles for Insightful, Habit-Building Tracking

To keep the design direction focused, I defined three principles rooted in behavioral UX patterns and our product KPIs. These principles are directly tied to the product’s success metrics, ensuring that the redesigned experience would provide holistic support to users by making logging easier, more valuable, and more sustainable.

Designing for Habit Formation, Not Just Usage

With the behavioral insights and product goals clearly defined, I used the Hooked Model to structure ideation, ensuring that each feature aligned with a habit-building loop rather than a one-time action. This framework helped prioritize not just what features to build, but when and why they should appear in the user journey.

To keep scope manageable and impact high, I used an Effort vs. Impact matrix to prioritize features. These formed the foundation of the MVP and drove the design explorations in the next phase.

Making Health Insights Clear, Structured, and Motivating

The first design iteration focused on making health insights more digestible and engaging while reinforcing user motivation. To achieve this, I introduced streak tracking, weekly insights, and categorized logging cards, ensuring a seamless experience. Below is the key feedback from the team and the resulting design refinements.

Refining Hierarchy and Visualization for Scannability

Building on insights from the initial iteration, this phase refined usability, improved hierarchy, and enhanced engagement by making health insights more structured and visually accessible. Below is the key feedback and design decisions made in response.

Delivering a Logging Experience That Drives Behavior

Synthesizing insights from multiple design explorations, I delivered a habit-supporting, insight-driven experience that turned passive tracking into an active, rewarding behavior. The Key features include:

• Real-time feedback to help users understand whether their weight is within a healthy range.
• Clear visualizations for trend tracking across key symptoms and health categories.
• Guided engagement with visible CTAs, animations, and sample data to reduce friction.
• Motivational tools like streaks, AI insights, and timely reminders to encourage consistent use.

By improving clarity, delivering meaningful insights, and reinforcing habits, the new logging feature, My Health, helps expectant mothers feel informed and in control throughout their pregnancy.

Driving Adoption with Clear Guidance and Visual Cues

To make logging intuitive and lower the barrier to entry, I introduced clearer access points and visual cues that guide user behavior:

• A weekly insights preview and a CTA on the home screen encourage daily engagement.
• Sample data is shown to new users, demonstrating the feature’s value before first use.
• A subtle pulse animation on the FAB directs attention to the logging function within the tab.

These improve discoverability, reduce cognitive friction, and boost first-time and recurring use.

Empowering Expectant Moms with Visual Insights

To make health data actionable, I redesigned the insights display using consistent and meaningful visual elements:

• Unified card components, icons, and color cues make insights easier to scan and interpret.
• Health categories are organized to help users focus on what's most relevant.
• A redesigned weight tracking chart provides visual trends and benchmarks based on pregnancy progress and pre-pregnancy data.

This visual clarity supports informed decision-making and strengthens the user's sense of control over their health.

Reinforcing Daily Habits with AI and Motivation Tools

To build consistent tracking habits, I integrated features that combine motivation and reminders:

• Streak rewards gamify daily logging, encouraging continued engagement.
• AI insights provide context-specific guidance based on logged symptoms.
• Smart notifications remind users to log at the right moment without being intrusive.

These create a positive feedback loop that turns one-time actions into sustainable routines.

Higher Engagement and Retention

The revamped logging feature, My Health, significantly improved user engagement and retention across all regions. By introducing intuitive logging, habit-forming elements, and actionable insights, users were more likely to visit the My Health tab and complete logs consistently. These results validate the importance of seamless tracking, motivation-driven features, and clear health insights in driving long-term user adoption.

• Increased Feature Adoption: Indonesia (20.2%), Vietnam (16.4%), and the USA (6.4%) saw notable My Health tab visit rates.
• Higher Retention for Logging: W-1 retention for completed logs showed strong engagement in Vietnam (20.1%), the USA (19.5%), and Indonesia (13.1%).

Lessons Learned and Opportunities

The launch of My Health provided valuable insights into user engagement, market-specific adoption patterns, and opportunities for growth. While the feature successfully increased retention and engagement, regional differences highlighted areas for improvement. By analyzing user behavior, we identified key learnings that will inform future product iterations, strategies, and expansion efforts.