Mic x Purdue UX
MIC is a cloud-based software that helps Court Appointed Special Advocates, or (CASAs), manage clerical tasks so that they can better support children involved in CHINS cases—those are kids identified as requiring services due to neglect, abuse, or other unsafe situations.
Company
Company
Mic
Date
Date
Jan 2025 - May 2025
Company
Mic
Collaborators
Collaborators
Erika Shin, Molly Koers, Salvador Ayala, Levi Humphrey, Anushka Madhavani, Muhummad Affan, Cora Hughey, Ashmi Roy
Izza Barbar, Saathvika Talluri,
Stella Lim, David Levine, Jean Chou
My Contributions
Audit of Previous Semester's Work, Usability Testing, Site Mapping, Individual Sketching, Group Sketching, Wireframes
Usability Testing, Flowchart Mapping,
Low-Fidelity Prototypes,
High-Fidelity Prototypes, Documentation
User Group
Court Appointed State Advacotes
Individuals in California
seeking self-help legal services
Problem Space
The MIC platform currently has inefficiencies in report writing and case management that make it difficult for CASA volunteers to focus on supporting children. Our goal is to refine the interface and workflow to streamline these tasks, reducing time spent on clerical work and improving overall usability.
The MIC platform currently has inefficiencies in report writing and case management that make it difficult for CASA volunteers to focus on supporting children. Our goal is to refine the interface and workflow to streamline these tasks, reducing time spent on clerical work and improving overall usability.
The MIC platform currently has inefficiencies in report writing and case management that make it difficult for CASA volunteers to focus on supporting children. Our goal is to refine the interface and workflow to streamline these tasks, reducing time spent on clerical work and improving overall usability.
Results
Our final deliverable was a high-fidelity interactive prototype created in Figma, featuring two fully developed user flows focused on case documentation and report writing. These flows were designed with stakeholder showcases in mind, emphasizing clarity, usability, and streamlined navigation. The prototype was handed off to the sponsor for review and potential implementation into the MIC platform.
Audit of Previous Semester's Work
Audit of Previous Semester's Work
We reviewed the previous team’s documentation to extract key insights on the report-writing process, AI’s role, and requested platform features.
As part of our process, I contributed to the audit of the prior team’s deliverables. In my portion of the audit, I uncovered three main insights:
We reviewed the previous team’s documentation to extract key insights on the report-writing process, AI’s role, and requested platform features.
As part of our process, I contributed to the audit of the prior team’s deliverables. In my portion of the audit, I uncovered three main insights:
Process Insights
The data-gathering phase of report writing was the most complex, since it required coordination across multiple parties and channels.
Process Insights
The data-gathering phase of report writing was the most complex, since it required coordination across multiple parties and channels.
Role of AI
While AI streamlined tasks, some older users viewed it as intrusive or insecure, showing the need for more transparent design.
Role of AI
While AI streamlined tasks, some older users viewed it as intrusive or insecure, showing the need for more transparent design.
Feature Requests & Sketching
Recurring requests included in-app messaging, AI note-taking, scheduling tools, report writing aids, a homepage/dashboard, case summaries, and form autofill.
Feature Requests & Sketching
Recurring requests included in-app messaging, AI note-taking, scheduling tools, report writing aids, a homepage/dashboard, case summaries, and form autofill.
Usability Testing
Usability Testing
Our team conducted usability testing with Purdue-affiliated CASA volunteers using the previous semester’s prototypes.
Key insights included the need to clarify navigation (e.g., dismissible notifications, clearer calendar filters, and grouping documents by case) and improve accessibility (e.g., draft features, privacy settings, and revising button color indicators). These findings directly informed our design refinements.
Our team conducted usability testing with Purdue-affiliated CASA volunteers using the previous semester’s prototypes.
Key insights included the need to clarify navigation (e.g., dismissible notifications, clearer calendar filters, and grouping documents by case) and improve accessibility (e.g., draft features, privacy settings, and revising button color indicators). These findings directly informed our design refinements.
Coming Soon.
Coming Soon.
This page is still in progress! In the meantime, feel free to explore my other projects to see completed work.
This page is still in progress! In the meantime, feel free to explore my other projects to see completed work.
Role Playing Scenarios: Participants acted as users filing for a DVRO, which revealed confusion with dense instructions, legal terms, and progress through the quiz.
Semi-structured interviews: Post-test questions (via Google Forms) uncovered where users felt confused and what improvements they wanted.
Welcome Page
Problem: Users were unsure about the quiz’s purpose and length.
Solution: Added a short intro outlining goals and number of questions.
Descriptions
Problem: Text was overwhelming, full of abbreviations and complex words.
Solution: Simplified and shortened text by ~50% for clarity.
Result Pages
Problem: Users struggled to interpret results and next steps.
Solution: Added clear wording, actionable next steps (e.g., “Proceed to Package 1”), and linked resources.
Visuals
Problem: Quizzes felt text-heavy and intimidating.
Solution: Added supportive icons and images to make the experience more approachable and engaging.
Process Insights
The data-gathering phase of report writing was the most complex, since it required coordination across multiple parties and channels.
Role of AI
While AI streamlined tasks, some older users viewed it as intrusive or insecure, showing the need for more transparent design.
Feature Requests & Sketching
Recurring requests included in-app messaging, AI note-taking, scheduling tools, report writing aids, a homepage/dashboard, case summaries, and form autofill.