What is CrowdMD?

When an athlete first suffers from an injury, a tough decision has to be made about what course of action to take. There are a plethora of resources that athletes are bombarded with, all offering varying (and sometimes conflicting) advice on what they think the athlete needs to recover from an injury. How do athletes decide who to trust? CrowdMD is a mobile app that helps athletes easily diagnose their injuries and access information about different types of treatment based on statistics fromt the crowd.



Baris Akis

Junior, CS Major from Turkey. Passionate about social entrepreneurship.

Megan Hansley

Senior, CS Major from Connecticut. 2012 Olympics USA synchronized swimmer.

Chris Sackes

Junior, Symbolic Systems major from NYC. RCC in Wilbur and Stanford Tour Guide

Contextual Inquiry/Task Analysis

For the intial step of our project we interviewed 3 different students on campus and received their feedback. We prepared very basic sketches to use in this step.

Report

Concept Video & Sketches

For the second stage of our project we defined 3 main tasks and sketcehd a basic flow for each of these tasks. We captures a short video to demonstrate our concept.

Video Report

Low-Fidelity Prototype

For our low-fi prototype refined the sketches from the initial phase and enhanced them with an interactive protityping app called POP. We later went our and did initial user testing with the POP app.

Report

Medium-Fidelity Prototype

We further refined our designs based on feedback on our low-fi prototype. We used Sketch app to create static front-end for our application, and we used Marvin to add user interativity.

Prototype Report

Heuristic Evaluation

Attached you can find the fianl report created by students in CS147 who didn't hear of CrwdMD before. The report outlines Nielsen 2.0 Heuristic violations.

Report

High Fidelity Prototype

This is the final polished, functional version of our application. Check it out!


Poster Report App