The Center for WorkLife Law (a collaboration of UC Berkeley and UC Hastings College of The Law, funded by The National Science Foundation)
Tools for Change aims to highlight the benefits of retention of women in STEM (Science, Technology, Engineering and Math) in academia. Having already created a functional calculator, adoption of the tool and the ideas it supported critically depended on the usability and accessibility of the information beyond the researchers and analysts from which the tool originated. The collaborative team from UC Hastings and UC Berkeley needed a way to present the data that would be palatable to university administrators who have not prevously been exposed to the project or its contents
The Matic designed and built an interactive infographic projecting the financial impact of family-friendly policies to academic environments in a format accessible to universities across the US and their key administrators.
Through a series of interviews and prototyping, we identified critical and duplicative data points resulting from the project’s existing algorithm, and analyzed the context of each data point to each other and to its viewers.
Data architecture and Experience Design
Based on architecture, functional and experiential requirements, we designed a a visualized representation of the resulting data. This resulted in a dynamic infographic specifically referential to each audience member’s data set.
The tools prior to this build was a complex algorithm that required a special statistical analysis application to run. The web-enabled version allowed administrators who might only have access to a web-browser to access the information for their specific university.
Data Points = Value Add
Having the ability to forecast a university’s cost savings over an extended period of time allowed faculty-planning committees to see the value of low cost retention programs to their overall bottom-line. This allowed administrators to see the long term value-add of retention programs and gave them confidence to continue them even through their early stages.
Showcasing and highlighting analytical results in an organized way made the data easier to consume at various levels of understanding and allowed viewers to focus on key data elements.