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SurVis

This project was for my Human-Computer Interaction capstone class, where we were assigned a client to work with throughout the semester.

Overview

The Problem

Due to the relevance of Covid-19, the ineffective prevention of the spread of animal-borne diseases is more relevant than ever. My team was tasked with designing a reporting system to minimize delays in zoonotic disease reporting to help prevent epidemics at the early stage. 

 

Timeline

4 months (January 2023 - April 2023)

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Team

Alexander Ma, Robyn LeeMegan Lin, Youie Cho​, Zexuan Li

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My Contributions

1. Interviewed veterinarians and health officials to gather key points on current zoonotic disease reporting

2. Synthesized user research into main insights, then brainstormed key features based on insights

3. Prototyping main flow: filling out form and tracking report progress

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Final Presentation (outlining problem and solution)

https://shorturl.at/bnoBY

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Initial Research

To get a better idea of the zoonotic disease reporting process, we first wanted to understand the problem space better through stakeholder mapping, empathy mapping and literature reviews. We then conducted semi-structured interviews first with disease researchers, then with veterinarians that have experience in reporting cases.

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Stakeholder Mapping

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Empathy Map

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Affinity Diagramming

We then synthesized our initial research into 3 main insights:

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Lack of a standardized, well-communicated protocol for zoonotic disease reporting

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Communication with the local health department is an inconvenient process for vets

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Vets suffer from emotional stress due to the lack of understanding from pet owners

Low-Fidelity

Based on those three insights, the team came up with a central question to help guide brainstorming:

How might we help veterinarians better communicate and follow up with the local health department throughout the zoonotic disease reporting process?

After brainstorming potential ideas for the app, the team created storyboards for the most appealing ones. We then interviewed vets to "speed date" our storyboards and see which ideas were the best.

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Storyboard Example #1

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Storyboard Example #2

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Storyboard Example #3

To summarize the findings from the speed dating interviews and synthesis, we created a user journey map to identify three key pain points:

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1. Scattered and Dated Reporting Channels: reporting channels are scattered across the internet and are using dated and inefficient communication method such as back-and-forth emailing and calling

2. Lack of Report Records: reports are sent in various channels that are not always digitalized and tracked, so there is a lack of report records, which makes it difficult for vets and government officials to all be on the same page about the case

3. Untimely Follow-up: the lack of a streamlined communication often means that state officials’ follow-ups to the vet’s reporting are delayed

The team then decided on the new insights we needed to focus on for future iterations:

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Digitalized and centralized reporting portal

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Real-time tracking of submitted reports

Mid-Fidelity

Transitioning into the mid-fidelity prototype, the team wanted to translate the low-fidelity insights into the main features for the SurVis app.

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First off, we needed to create a comprehensive user flow for SurVis. Without SurVis, a vet has to go through a very complicated and inefficient reporting process where they're many times uncertain of specific steps in the zoonotic disease reporting process. By establishing a standardized flow for the reporting process, our team was able to solve this issue and set the foundation to build the final prototype off of.

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Then, the team worked through iterations of the digitized reporting form and the report tracking pages, all while conducting A/B testing on participants to improve on the design.

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Digitized Reporting Form

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Report Dashboard with Updates and Tracking

High-Fidelity (Final)

Report Tracking

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Digitized Reporting Form

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Additional Features

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Video Walkthrough

© 2023 by Alexander Ma

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