B2C Driving App: Cognitive Load Testing

Summary
Role
UX Research

Role & Approach
This project focused on evaluating the usability and cognitive load of Waze's new iOS locked screen navigation design. Using an Occlusion Click Test and structured survey, we assessed task accuracy, glanceability, comprehension, and user confidence among 405 frequent drivers.

  • Occlusion Click Test with >500 participants: Simulated real-world driving distractions (Waze alerts, iMessage notifications) to measure task accuracy, time on task, perceived difficulty, and user confidence.

Execution Highlights

  • Split participants into groups (iOS Locked Nav vs. Production) to compare performance and perceived ease-of-use.
  • Designed six task scenarios simulating varying levels of distraction, from simple navigation to multiple notifications.
  • Collected structured survey responses and follow-up sentiment data to combine objective and subjective measures of usability.

Impact & Results

  • Accelerated the feature to the next stage of development, speeding up release timelines.
  • Built a Python-based analysis pipeline, streamlining the processing of occlusion click tests and survey data.
  • Delivered actionable insights that guided navigation UI improvements and AI-driven features, enhancing usability and driver confidence.