Once the MVP launched, we knew there was a lot of room to expand the automated risk identification capability, tailoring it to the specific ways our users define risk in their development pipelines. In August 2017 I worked with my Nadia to conduct a two-day design intensive focused on expanding the concept of risk in XL Release.
In the month before the design sprint, I reached out to our User Panel and coordinated several research sessions relating to the risk feature: some before the design workshop to support our understanding of how risk is used, and some after to validate the workshop outcome. As this workshop was shorter than a traditional Google design sprint, we were unable to have the time dedicated to research that would typically be included. Instead, I gathered risk feedback from the last few months and presented it to the workshop participants during common ground building on the morning of day one.
After the workshop I ran sessions with users to get their feedback on our design plan.The overall design was positively received, but I noted during validation sessions that users were confused about how risk was calculated, and unsure exactly how their changes would impact the overall risk score. After discussion of my findings, my colleague worked to refine the visual design, clarifying the relationship between each individual risk factor and the overall score thresholds. I conducted a second round of validation internally as a “usability party” where members of our Customer Success, Sales, and Implementation teams were invited to sign up for short slots with me throughout a day and test the design. This generated enough data to feel confident that the final designs would work for our expert users (the target audience for this feature), and be learnable for less experienced users.
The flexible, customizable v2.0 of the tool was released as part of XL Release 7.5, and is still a highly valued component of the product. You can read more at the XebiaLabs website.