Driving Behavior Change

Designing a personalized home experience to help users understand and improve their driving behavior

Role: Lead Product Designer

Focus: Personalization, Behavior change, User testing

  • Improved understanding of how driving behavior impacts score

  • Increased engagement with trip-level insights

  • Encouraged users to reflect on and adjust driving habits

Problem

Home screen experience with a projected discount (left) and without (right), highlighting the lack of engagement when key incentives are unavailable

The home screen of our mobile product offering primarily focused on displaying a driving score and projected discount.

However, not all insurance programs could display a discount, leaving the experience sparse and unengaging for many users.

At the same time, research showed that users struggled to understand how their behavior impacted their score and what actions to take to improve it.

Where it broke

  • Users lacked clarity on how driving behaviors affected their score

  • Feedback was disconnected from actionable next steps

  • The home screen failed to provide meaningful, ongoing engagement

Why it mattered

  • Users needed clearer guidance to improve driving behavior

  • Engagement dropped when the home experience lacked value

  • Retention depended on users regularly interacting with the app

Approach

The home screen wasn’t an information problem, it was an engagement and behavior problem.

Rather than filling the home screen with additional UI, I reframed it as an opportunity to create a more engaging and educational experience.

I explored how we could deliver personalized, contextual insights directly on the home screen to help users understand their driving behavior and take action.

This led to designing a dynamic card system that surfaces relevant information based on user activity, milestones, and changes in driving performance.

Key Decisions

Designing for behavior, not just information

Research showed users responded best to clear, actionable insights, especially when tied to changes in their score.

I prioritized messaging that:

  • explains why a score changed

  • provides a clear next step

  • reinforces positive or corrective behavior

Result: Users felt motivated to reflect on and adjust their driving habits.


Making feedback timely and contextual

Instead of static summaries, I designed cards to appear based on specific user events:

  • onboarding

  • first trip

  • score changes

This ensured feedback was delivered when it was most relevant.

Result: Users consistently noticed and engaged with new information.


Balancing engagement with cognitive load

Research highlighted the risk of overwhelming users with too much information or repetitive messaging.

I designed a structured card system with:

  • clear prioritization

  • card expiration timelines

  • card amount limits

Result: The home screen stayed dynamic and useful without becoming cluttered.

What I built

Dynamic home screen cards

A modular card system that delivers personalized insights and guidance directly on the home screen.

  • Onboarding cards to introduce key concepts

  • Trip-based cards to reinforce learning after user activity

  • Score update cards to explain changes and provide actionable feedback

Introductory cards help users understand how the app works, what their score represents, and how to navigate key features

Behavior feedback loop

The system connects:

  • user behavior → score change → explanation → action

This creates a continuous feedback loop that encourages users to engage and improve over time.

Example of a score update card providing contextual feedback and guiding users toward actionable next steps

Impact

Improved comprehension
Users consistently understood how their driving behavior impacted their score

Increased engagement
Score update cards were identified as the most engaging and valuable feature

Drove behavior change
Users reported intent to adjust driving habits based on feedback

Built trust in the system
Transparency and clear explanations improved confidence in scoring

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Localization Automation