Eagle dashboard widgets is a product of Tyler Technology, the largest software company focused on public sector software.The widget dashboard is a workflow document processing tool for documents generated from agencies such as courts and land management offices as they move through recording offices.Turnaround time is often mandated by law, so the widgets play a vital informative role.
Cosmetic reskins provide little value to the customer, so I wanted to ensure that the design would deliver features that focused on top tasks.Gaining domain knowledge was accomplished by a survey for quantitative data and numerous customer interviews. Our customers also were involved in testing the prototype design.
Understanding the complex business process of document recording was the first step. This involved working with product owners and customer interviews. It was critical to understand customer needs and their view of strenghts and shortcomings of the current product. Additionally, there are literally hundreds of document types, staffing assignments and workflow can vary drastically from office to office.
1. Customer survey to understand usage and satisfaction
2. Next, there was a research phase with customer interviews (8). These interviews gave invaluable insight into customer concerns, but also the wide spectrum of scenarios the product needs to satisfy. The results were compiled in a spreadsheet for future reference.
3. The team did sketching sessions at various times during the process.
4. Equipped with data and sketches I began the design process. In order to make the prototype more realistic, I used Google charts rather than static graphics for added interactivity. The charts were embedded into the Axure prototype.
The product owner and I decided to tackle one widget at a time then do a widget-based feedback loop.
Each widget (5) consisted of a dashboard chart and the ability to drill deeper into a card for extensive detail and the ability to do tasks.
5. When complete, we brought our customers in to test the design, and asked a mixture of qualitiative and task based questions.
Pain points fixed: