Client: Ongo Science
Ongo Science is a provider of action-oriented, science-backed programs created by wellness experts in health areas such as exercise, sleep and mindfulness. The model is a two sided marketplace serving both wellness experts and program consumers. Our design task was to create a dashboard interface for the wellness experts allowing them to reference the metrics they needed to be able to manage their subscriber base and the success of their programs.
KEY QUESTIONS AND CHALLENGES
Role
Methods
Team lead managing the end-to-end design process and implementation of a team of 6 designers.
Expert Interviews
Affinity Mapping
Personas
Competitive Analysis
Design Sprint
Information Architecture
Sketching and Wireframing
Comprehension Testing
Final Visual Layout
Usability Testing
Results
Validation testing of the final design showed that the wellness experts (users) were able to successfully reference and understand the metrics they needed (4/4 users) and had a clear understanding of how to use those metrics to improve their programs (3/4 users).
Research and Analysis
User Research, Personas and Affinity Diagrams
We conducted interview sessions with seven wellness and fitness experts, to surface pain points around how they currently manage programs and interact with clients. From the interviews we developed two main personas to help inform our design decisions. We also affinity mapped the collected insights to aid in feature prioritization.
Affinity Map / MVP Feature Prioritization
Competitive Research
Keeping in mind the feature prioritization we had established, we looked at existing content delivery dashboards to find models for how such features have been successfully implemented in other products.
Design and Implementation
Information Architecture
Design Sprint
After finalizing the Information Architecture, the team followed a modified Google Ventures Sprint strategy to establish design strategies for the individual features. Several rounds of ‘crazy eights’ were completed before the group broke up to give everyone opportunity to refine their individual solution sketches. The following day we met again to dot vote on the sketches and thus determined a detailed strategy for the main dashboard and supporting pages.
Low Fidelity Wireframes
We then moved forward and created a series of quick iterations of Lo-Fi wireframes based on the sketches from the design studio.
Throughout this iterative process we completed a couple of rounds of comprehension tests to validate our overall strategy. The results did not require any major modifications but we did make optimizations in areas such as navigation and visual hierarchy as well as making some clarifications regarding several of the metric representations.
Conclusions and Lessons Learned
As the project progressed it became increasingly clear that as the platform expands to include greater numbers of experts in different fields, the dashboard itself would need to become more tailored to those specific verticals. We endeavored to create a successful V1 that would give informative and actionable overview metrics while at the same time designing flexible components that could be further customized as the product evolves and becomes more specialized.