Apres.io
The Goal
Apres product goes beyond traditional machine-learning management, to create robust new data, drawing on the expertise of people to drive better decisions. Their customers include some of the world’s largest banks, insurance companies, and cutting-edge tech companies seeking solutions for fraud, customer churn, bias, compliance, and more. My mission was to establish the UX architecture for their properties in a simple and recognizable structure.
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User Research
- Conducting research to understand user needs, goals, and behaviors. This involves methods such as interviews, surveys, and usability testing.
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Information Architecture
- Organizing and structuring information within the product to ensure easy navigation and findability. This includes creating sitemaps, user flows, and defining the taxonomy.
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Interaction Design
- Designing the interactive elements and behaviors of the product, such as buttons, menus, and forms. This includes creating wireframes and prototypes to showcase the user interface and interactions.
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Usability Testing
- Testing the product with actual users to identify any usability issues and gather feedback for improvement. This involves observing user interactions, collecting data, and iterating on the design based on the test results.
The Journey
Apres goal was to target the enterprise market, communicate the company’s values, and develop an easy-to-understand story about the product. The biggest challenge was simplifying their complex story to help non-technical users understand the product’s value and create trust in the solution.
The Results
As a result, we streamlined user journeys, enhanced brand perception, optimized information organization and intuitive navigation, reduced bounce rates, and improved task completion. We created a solid foundation for future growth and scalability.
Going Forward
Since AI is a new and evolving space, my efforts assisted Apres in finding ways to translate their product to non-technical users to gain more trust in their development.