A leading financial software solutions company experienced challenges with identifying pain points and predicting the future needs of employees within their self-help experience dashboards, and wanted to create a more personalized self-help experience through leveraging data and AI.
We conducted user interviews to understand the employee journey and develop classifications of user mindsets based on a spectrum of attitudes and behaviors that would inform dashboard, personalization, and automation opportunities to optimize self-help experiences.
Discovered four primary user mindsets and 36 opportunity areas to support better employee experience with dashboards and self-help and enhancements to the front-stage employee interfacing with self-help products and services
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299 Broadway
Suite 1200
New York, NY 10097