MI Lighthouse
Project Type: Internship
Industry: Health
Responsibility: Conduct qualitative research, analyzing interview data, generate wire-frame, low fidelity and high fidelity prototype
Problem
During the pandemic, the Michigan health department faced challenges tracking vaccine data. MI Umbrella developed MI Lighthouse to aid public health, offering authorized officials visualizations for monitoring vaccine uptake, outbreak investigation, and resource allocation. However, the platform’s functionality is restricted solely to COVID-19, with limited features for vaccine campaign decision making.
Phase 1: User Research
In total, we conducted interviews with 20 stakeholders in the public health field across Michigan. Recognizing our lack of familiarity with the daily tasks of health officers, we opted for a two-round interview approach. The first round aimed to understand their current workflow, while the second round delved deeper into identifying pain points and needs.
User Interview R1
Tailoring our approach to different roles, we developed specific protocols for health managers and epidemiologists. In the initial round of user interviews, our focus was on understanding their current workflows to gain insights into potential pain points.
Findings
Following two rounds of interviews, we identified that the local health department officers’ daily work revolve around data management and communication, aligning with the roles of epidemiologists and health managers.
With that two main field, what do our user exactly need? Developing two primary user personas helps us in constructing a clearer and deeper comprehension of their needs and challenges.
At this time, we decide to prioritize implementing key functions including color-coded maps, demographic data visualization, and PDF download capability for the MVP version as recognizing their importance.
With those precondition, we started with sketching individual elements and the overall lay out.
As we transitioned to wire-framing, we prioritized the map and dashboard pages, focusing on a select few options favored by the project team. This approach allowed us to brainstorm various layouts that could be developed into low-fidelity prototypes.
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