Problem 1 - Feature Fatigue

Too much information at once creates unnecessary cognitive effort.

User Testing Insight

During 1-on-1 usability testing with 4 participants, 3 experienced difficulty locating specific metrics - such as their most recent blood pressure reading. Several uses paused or scrolled through multiple sections, unsure where the information was located.

“I don't know where to look - Vitals or Heart? I just want to see everything up front.” - Eric

“I don't know where to look - Vitals or Heart? I just want to see everything up front.” - Eric

“There is just so much on screen - it's hard to tell what I should be looking at first.” - Linda

Problem

The Apple Health app presents users with an expensive amount of health data across multiple catergories, but lacks clear hierarchy and context. Users reported feeling overwhelmed by the volume of information and struggled to identify which metrics were most relevant to their health goals. The complexity of data presentation can lead to confusion and reduced engagement.

Why It Matters

• Information overload can lead to decision paralysis and reduced user engagement.

• Lack of clear data hierarchy makes it difficult for users to focus on key health indicators.

• Complex data presentation may discourage regular app usage and health monitoring.

• Information overload can lead to decision paralysis and reduced user engagement.

• Lack of clear data hierarchy makes it difficult for users to focus on key health indicators.

• Complex data presentation may discourage regular app usage and health monitoring.

Solution - A Smarter, Simpler Experience

Solution - A Smarter, Simpler Experience

Reduce cognitive load through progressive disclosure.

Group related data into collapsible sections to help users focus on top-priority insights first, with the option to explore additional details as needed.

Introduce drag-and-drop dashboard customization.

Allow users to rearrange, add, or remove health metric cards within an "Edit" mode, giving them more control over what information appears most prominently.

Prioritize frequently accessed metrics using usage patterns.

Use interaction data to surface health metrics that users view most often, improving relevance and potentially reducing time spent searching.

Why These Solutions Work

Why These Solutions Work

Progressive Disclosure

Progressive Disclosure

Showing only essential information at first helps reduce cognitive load and keeps the interface focused. Users can expand sections when they want more detail, allowing them to move at their own pace without feeling overwhelmed. UX Principle: Follows Hick’s Law — fewer visible options support faster, more confident decision-making.

Drop & Drag Personalization

Drop & Drag Personalization

Letting users rearrange or remove dashboard elements gives them a sense of control and ownership. This customization helps align the interface with personal health goals while reducing unnecessary clutter and creating a more intentional layout. UX Principle: Supports user autonomy and customization, which are linked to higher engagement and satisfaction.

Prioritize Frequently Used Metrics

Prioritize Frequently Used Metrics

Highlighting metrics based on user behavior makes the experience more efficient and personally relevant. By surfacing commonly viewed data, the app reduces navigation time and adapts to each user’s evolving needs. UX Principle: Uses smart defaults and contextual relevance to improve perceived usability and strengthen trust.

Research Insight

Research on feature fatigue suggests that as product complexity increases, perceived usability may decline - even if more capabilities are available. In Apple Health, the presence of many simultaneous visible metrics may reduce user satisfaction by increasing effort required to find relevant data.