Using Data and AI To Drive a Better User Experience

In today’s digital age, enterprise software is critical to the success of large companies and government organizations. However, enterprise software often suffers from poor user experience design, which can lead to low user adoption rates, decreased productivity, and ultimately, reduced profits. With the trend toward more self-service solutions for end-users, UX (User Experience) is pivotal to software success. To address this issue, large companies are turning to data analysis, design systems, and AI to improve enterprise software UX design.

Using Data to Inform Design Decisions
One of the key ways large companies can improve enterprise software UX design is by using data to inform design decisions. Data analysis can provide valuable insights into user behavior and preferences, which can be used to inform the design of enterprise software. By analyzing user data, designers can identify pain points in the user journey and make design improvements that address these issues.
Data analysis can also be used to identify patterns and trends in user behavior, which can help remove design bias based on opinion and improve the design of enterprise software. For example, if data analysis reveals that users are frequently using a certain feature, designers can make that feature more prominent in the design.

Utilizing Design Systems
Design libraries are quickly evolving into design systems. These new design systems can also be an effective tool for improving enterprise software UX design. A design system is a collection of pre-built solutions that can be reused across multiple products. By using a design system, designers and developers can ensure consistency in both the visual design and software behavior across the enterprise software, which can improve the user experience and reduce user confusion.
Design systems can also save time and resources, as designers do not have to create each design element from scratch and they can be bundled with optimized code that can be reused across the enterprise. This allows designers to focus on more strategic design decisions that can improve the overall user experience.

Using AI to Enhance UX Design
Artificial intelligence (AI) can be a powerful tool for improving enterprise software UX design. AI-powered analytics can provide insights into user behavior and preferences that can inform the design of enterprise software. For example, AI-powered analytics can identify patterns in user behavior that indicate a need for a new feature or an improvement to an existing feature. Design patterns can then be created and tested to optimize the use of the new feature.
AI can also be used to personalize the user experience, which can improve user adoption rates and overall satisfaction with the software. By analyzing user data, AI can identify individual user preferences and make design decisions that cater to those preferences.

As an example of this approach in action, we are working with a startup travel company focused on leveraging AI to revolutionize corporate travel. The software will dynamically learn about individual traveler behaviors with each interaction and then filter results for flight and hotels from thousands of options down to a few that best optimize the travel experience while also conforming to company travel policies. In short, the software will be able to find the best hotel and flights based on both the learned behaviors of the user and the evolving needs and policies of the company using the corporate travel system.

Ensuring Accessibility and Inclusivity
Accessibility and inclusivity are essential components of enterprise software UX design. Large companies and government entities must ensure that their enterprise software is accessible to users with disabilities and that it caters to the needs of all users, regardless of their background or level of experience.
Designing enterprise software with accessibility and inclusivity in mind can improve the user experience for all users and increase user adoption rates. Designers can leverage accessibility standards and guidelines through design systems to ensure that the software is usable by people with disabilities. In addition, designers can conduct user research and use data analysis to ensure that the software caters to the needs of all users.

In conclusion, large companies can use data analysis, design systems, and AI to improve enterprise software UX design. By using data to inform design decisions, evolving design libraries into design systems, and using
AI to enhance UX design, large companies and government organizations can create enterprise software that is user-friendly, personalized, and accessible. Ensuring accessibility and inclusivity is also crucial for creating enterprise software that caters to the needs of all users. With these tools and strategies, large companies can create enterprise software that drives productivity, lowers training costs, boosts profits, and enhances the overall user experience.

Interested in learning more about creating great customer experiences?
Classic System Solutions has been designing mobile and web applications for the world’s leading companies for over 20 years. Our UX (User Experience) professionals work directly with clients on large-scale deployments to assure usable, effective and innovative solutions that deliver significant return on investment.