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UX Specs: Usability Evaluation Optimization | Academic

Evaluated the Qualtrics interface to identify usability issues and improve user experience and functionality, applying qualitative and quantitative methods.

As part of a Human Factors Engineering project (Technion), I conducted a usability evaluation and UX-focused optimization of the Qualtrics platform.The project did not aim to redesign the UI visually, but to improve usability, efficiency, and cognitive alignment through human-factors–driven analysis and UX principles.

 

Scope

The evaluation focused on two core user actions:

  • Home  – creating a new survey/project

  • Survey Creation & Editing – writing, editing, and managing survey questions

Overview

Goals

  • Reduce unnecessary steps, task switching, and cognitive load

  • Identify usability and cognitive friction points

  • Understand task structure and users’ mental models

  • Improve efficiency and clarity without changing the visual language

Methodology

  • Hierarchical Task Analysis (HTA) of survey creation and items editing

  • Usability evaluation of the existing interface

  • UX specifications focused on interaction, flow, and cognitive efficiency

  • Low-fidelity prototype (Figma) illustrating UX improvements (not a visual redesign)

  • Comparative usability testing of:

    • Original interface

    • Optimized prototype

  • Metrics

    • ​During - - Response time & number of errors records.

    • Post - - Satisfaction Ease of use & Eefficiency questionair.

UX-Driven Improvements

  1. Reduced the number of actions and steps required to create a new survey (See Gallery Image A) 

    • Users can complete the task faster with less friction

    • Reducing the number of steps from four to three)

  2. Streamlining task flows and minimizing unnecessary steps → Increases efficiency and supports intuitive task completion.

  3. Improving hierarchy and emphasis of existing actions (e.g., buttons) → Directs user attention to primary actions, supporting smoother navigation.

  4. Reducing the number of controls and decision points → Minimizes cognitive load and simplifies decision-making.

  5. Refining terminology to better match users’ mental models → Enhances understandability and reduces errors caused by misinterpretation.

  6. Minor typography adjustments strictly to support readability and cognitive processing → Facilitates quick scanning and reduces mental effort.

Example: Improving hierarchy and emphasis of existing actions

The survey creation flow was simplified by:

  1. Improving efficiency

  2. Lowering cognitive load

  3. Better supporting users’ task-focused workflows

Evaluation | Results | Outcomes

  • Reduced task completion time, particularly in the survey creation flow.

  • Higher user satisfaction scores in the optimized prototype

  • Fewer user errors compared to the original interface

  • Improved task efficiency and perceived ease of use

  • Shorter task completion times in the prototype condition

graph.jpg
  • The project demonstrated that UX and human-factors–driven changes—without visual redesign—can significantly improve usability, efficiency, and cognitive load.

  • Small, targeted interaction and flow adjustments led to measurable improvements in performance and user experience.

*This project was conducted in collaboration with Lior Ron

Project Gallery

© 2025 By Yaara Gur-Esh Barak.
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