How do you test the aesthetic usability effect of your designs on different user groups?

2 Choose appropriate metrics

To test the aesthetic usability effect, you need to measure both the subjective and objective aspects of your designs. Subjective metrics include user ratings, feedback, emotions, and attitudes towards the design. Objective metrics include task completion, error rates, time on task, and click-through rates. You can use tools such as questionnaires, interviews, focus groups, or online surveys to collect subjective data, and tools such as usability tests, A/B tests, eye-tracking, or heat maps to collect objective data.

3 Create different design variations

To compare the aesthetic usability effect of different designs, you need to create variations that differ in their visual elements, such as colors, fonts, images, layouts, or animations. You can use principles such as contrast, balance, harmony, or hierarchy to guide your design choices. You can also use existing frameworks or guidelines, such as Gestalt principles, color theory, or typography rules, to ensure consistency and clarity.

4 Conduct your tests

To conduct your tests, you need to recruit participants from your user groups and assign them to different design variations. You can use methods such as random sampling, stratified sampling, or quota sampling to ensure a representative and balanced sample. You can also use methods such as pre-tests, post-tests, or control groups to control for confounding factors. You can conduct your tests in person, remotely, or online, depending on your resources and goals.

5 Analyze your results

To analyze your results, you need to compare the subjective and objective metrics across the design variations and user groups. You can use statistical methods such as descriptive statistics, inferential statistics, or correlation analysis to summarize and interpret your data. You can also use qualitative methods such as thematic analysis, content analysis, or discourse analysis to extract insights and patterns from your data.

6 Apply your findings

To apply your findings, you need to use them to improve your designs and enhance the user experience. You can use methods such as personas, scenarios, or user journeys to translate your findings into user stories and requirements. You can also use methods such as wireframes, prototypes, or mockups to implement your findings into design solutions. You can also use methods such as feedback loops, iteration, or evaluation to test and refine your solutions.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?