GPTs - Design Audit

OpenAI GPTs - Design Audit

The GPT utilizes screenshots from websites and apps to assess visual and UX/UI designs, adhering to established design principles and Jakob Nielsen's usability heuristics.

There are two main types of design audits.

  1. Design audit: Visual Hierarchy and Layout, Color and Contrast,Typography and Readability, Consistency and Standards, Navigation and User Control, Interaction Design, Responsiveness and Accessibility, Data Visualization, Calls-to-Action (CTAs)
  2. 2.UX audit (Jacob Nielsen's heuristic): System status visualization, Matching the system and the real world, User control and freedom, Consistency and standards, Error prevention, Recognize instead of remembering, Flexibility and efficiency of use, Beautiful and minimalist design, Helps users recognize, diagnose, and recover from errors, Help and documentation

In all cases, include recommendations for design optimization.

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Example

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Example of Design Audit

Perform a design audit on this design.
This dashboard design exhibits strengths in clarity and organization, but there are opportunities for enhancement:

Visual Hierarchy and Layout
The dashboard has a clear layout, with data segregated into discrete sections for ease of understanding.
However, the Orders by State map could be more prominent, as geographic data representation is crucial for logistics.

Color and Contrast
The color palette is consistent and pleasant, contributing to the readability of charts and graphs.
Contrast between the text and background is adequate, though the shades of blue might be too similar, reducing the distinctiveness of the different states on the map.

Typography and Readability
Typography is clean and legible, but there is room for better differentiation between data categories.
Headers could be bolded or colored differently to stand out more against the other text elements.

Consistency and Standards
Consistency is maintained across the design with the use of color and typefaces.
The design conforms to standard dashboard layouts, which will be familiar to users.

Navigation and User Control
The top filter controls imply user interactivity, which is excellent for navigation and control.
Clear labels are present, which is good for orientation, but adding tooltips or a short guide could enhance user understanding.

Interaction Design
The flow seems logical, but without interactive elements like hover details on the map or graphs, it's hard to assess completely.
It would benefit from interactive elements that provide additional data on hover or click.

Responsiveness and Accessibility
It's not possible to assess responsiveness without seeing the design in different screen sizes.
The color choices should be tested for accessibility to ensure they are distinguishable for users with color vision deficiencies.

Data Visualization
The graphs are simple and convey the data effectively.
The map could be improved by using a color gradient or intensity to represent data density or order volumes per state.

Calls-to-Action (CTAs)
The dashboard lacks clear CTAs. Consider adding actionable buttons like "View Report" or "Download Data" for each section.

Recommendations for Design Optimization
Increase the distinction between states on the map with color intensity tied to data points.
Enhance the typography hierarchy to differentiate between data types and categories more clearly.
Implement interactive elements such as tooltips and clickable items for a more informative experience.
Test color choices for accessibility compliance.
Introduce clear CTAs for user engagement and data interaction.
Overall, this dashboard presents information in a clean and structured manner. With adjustments to enhance interaction and data representation, it could provide an even more user-friendly and informative experience.

Example of UX Audit

Perform a ux audit on this design.
Conducting a UX audit based on Jakob Nielsen's heuristics, here are the observations and recommendations for this logistics dashboard design:

1. System Status Visibility
The dashboard successfully presents the current status of logistics data, with updates on orders, quantity, and customer statistics.
To improve, it could include real-time data updates or indicators that show when the data was last refreshed.

2. Match between System and the Real World
The use of a United States map for "Orders by State" is a good real-world match, making data relatable and easy to interpret.
Consider using more everyday language for categories or including visual icons that represent the data categories for more intuitive understanding.

3. User Control and Freedom
Users appear to have control over viewing data through the filters for "Category" and "Sub-Category."
Implementing 'undo' or 'reset' options for the filters could enhance user freedom and ease of exploration.

4. Consistency and Standards
The design is consistent in its use of color, typography, and layout.
Ensure that any interactive elements behave consistently with user expectations based on common web standards.

5. Error Prevention
The straightforward layout and clear labeling likely reduce user errors.
To further prevent errors, validating filter inputs and providing suggestions as users type can help avoid data input mistakes.

6. Recognition Rather Than Recall
The design enables recognition with visual graphs and easy-to-identify metrics.
Adding breadcrumbs or a clear way to navigate back to previous views without relying on memory would be beneficial.

7. Flexibility and Efficiency of Use
For novice users, the dashboard seems clear and easy to use. However, expert users might benefit from shortcuts or customizable views to enhance efficiency.
The inclusion of an advanced filter or search functionality could cater to power users.

8. Aesthetic and Minimalist Design
The dashboard’s design is aesthetically pleasing and minimal, avoiding unnecessary information that could clutter the view.
Review if every element presented is necessary or if some can be hidden to provide a more streamlined experience.

9. Help Users Recognize, Diagnose, and Recover from Errors
There's no visible system feedback for incorrect actions, such as an invalid date range in the filter.
Error messages should be clear and guide users towards resolving the issue, should they encounter an input error.

10. Help and Documentation
It's not clear if there is any help or documentation available for users who might not understand how to use the dashboard.
Consider integrating a help section or tooltips that explain each section and functionality of the dashboard.

Recommendations for UX Optimization
Implement real-time update indicators to show when data is refreshed.
Use icons and simple language to improve relatability and understanding.
Provide undo/reset functionality for filters to increase user control.
Introduce shortcuts and customizable views for expert users to navigate more efficiently.
Ensure error messages are helpful and guide users towards problem resolution.
Add a help section or tooltips to aid users unfamiliar with the dashboard functionalities.
By addressing these points, the dashboard's usability could be significantly enhanced, ensuring a smooth and efficient experience for all user levels.