People who manage and govern their data wanted the ability to see its entire path and history, also knows as data lineage. I built the lineage graphs for Watson Data Platform that enabled users to understand how an asset has evolved and what actions have been taken. This facilitated trust that they were using the right piece of data.
Who were our users?
Our audience were customers of IBM Data Catalog, specifically the Data Scientist and Business Analysts who were searching for quality data.
What problems was I solving and how did I solve them?
I needed to focus on how lineage appeals to our target users and guide those users to the right version of data to enable them to understand the overall quality of the data asset.
Talk to users. By providing us generative research with a handful of users, I was able to bucket those into wants and needs and map out key areas of focus for us to move forward with design concepts. I then participated in an Affinity Mapping, an exercise that gathers user feedback and organizes them into groupings based on their common relationships. From there I began initial hand-drawn concepts that were presented to key Stakeholders.
Digital layouts. I designed initial digital layouts and presented them to Offering Management, Development and other Stakeholders. Reliant on feedback and technical feasibility, I was able to decide on a solid direction on how to move forward with refinements.
Prototype made. I created a clickable prototype to test with users and created a protocol to be tested that covered all ambiguity with my hypotheses. Participating alongside my team Researcher on the usability testing, allowed for valuable feedback and insight. After the interviews, I helped to compile the assessment into a presentation about what worked well, what needed work and new ideas. The biggest takeaway was that the users wanted to see the zoomed in version, rather than a birds-eye view of their data lineage.