Persona & Empathy Map_Traveler
Persona & Empathy Map_Airport Security Manager
Persona & Empathy Map_Airline Manager
Value Proposition Design
Business Model Canvas
NoQ Home page
User Flow Diagram
NoQ Terminal5 Transportation Team #5
Recent pandemic has impacted the air transportation business and traveling is perceived as a risk-factor.
The security clearance processes at airports are tedious, confusing, and generally have long wait times during peak hours. The goal of this project is to provide an effective solution addressing this issue.
"NoQ" allows users to pre-book and reserve their security slots online. It eliminates security queue times and eases the overall process for both the passengers and the TSA agents.
Partnering with airports & airlines establishes a solid go-to market strategy which provides passengers a smooth, hassle-free on-boarding process.
Ashik Devakumar (Project Manager, Graduate Mechanical@ PFW) Ashik was responsible for scheduling all internal and external meetings. He created memos of each meeting and ran weekly planning sessions where the team agreed on a set of tasks for the week. Ashik also contributed to building revenue and business models and collaborated with the rest of the team to create this document.
Michael Hall (Business Development, Junior Mechanical @Rose-Hulman ) Michael put together our online go-to-market strategy with some help from our GoSquad coach. Michael ran our customer discovery process, conducting interviews with potential customers in the last 2 weeks. He also helped with the environmental analysis, business models, and revenue models.
RaviTeja Jorigay (UX Designer, Graduate Human-Computer Interaction @ IUPUI) RaviTeja helped in understanding the customer segment and created the persons, Empathy Maps, and Business models. He collectively worked with his squad members to develop a 3-year Revenue projection model. Ravi also helped the Pro squad by contributing his knowledge in prototyping and designed the UI’s of the screens.
Sumadhuri Damerla (Software Developer, Graduate Computer Science @ PFW) developed the database architecture and build the backend of our product. She was responsible for integrating the frontend and backend of the application as well as maintaining the git repository, deploying the app on Heroku server. She also worked on making the product demo presentation
Merouane Baoch (Software Engineer, Sophomore @ Ivy Tech College ) Merouane helped in developing the frontend, CSS and worked on the schematic representation of the application. He also contributed project planning ideas to the GoSquad.
Dhruvin Patel (Software Engineer, Senior Computer Science @ IUPUI) Developed front end architecture as well as an integrated front end and back end codes of the application. He Created UI design using React.js, and Bootstrap. Maintain the data flow using react-redux.
How did we decide on this customer segment, problem, and solution?
We studied the different problems at Indianapolis airport due to COVID-19.
We interviewed TSA personnel to understand their hardships they are facing to maintain and regulate social distancing in long queues at the airport. We then interviewed air travel passengers to discover their pain points and turned them into insights.
We organized this information into different process maps to better understand the pains/gains.
With the long queues at security processes being a potential space for COVID risks, it is difficult for both the staff and the passengers to manage and maintain a standard social distancing protocol.
Under the given constraints, we cannot change the TSA rules and procedures but we could focus on a component of the system. We introduced a slot-booking concept for the TSA security lines which would make the process smoother, quicker, and minimize COVID exposure (a win-win solution).
Who will benefit from our project?
Airports, Airlines, and Passengers
How did our team build and iterate on the solution?
Research & Brainstorming sessions
1.Identified problems that passengers are currently facing at the airport
2.Created customer personas based on the interviews and other research
- Developed a prototype with a UI model to assist in application build
- Build the application
With the application, we identified a reliable revenue model and generated a 3-year forecasted business model.
Based on the multiple feedback received after using our application, we reiterated a few functionalities and refined it.
With the calculated regional expansion strategy, NoQ could obtain a profit of 2.3M$ at the end of 3 years
Tested with 35 different users
Wait time Reduced Per Passenger
An average of 20 - 45 minutes reduced on a crowded day
An average of 10 - 20 minutes reduced on a less crowded day
Technical Details and Diagrams
NoQ Prototype - Adobe XD
User flow Diagram
Business Logic Diagram
Tools and libraries
React-Router - It is used to manage the transition between components. React-Bootstrap - Most comprehensive single library with the bootstrap functionality Webpack - We used webpack to modularize and build the client-side code into a bundle to deliver to the browser. Check out the file on GitHub for a full list of libraries we used.
If we had another 5 weeks to work on this, what would we do next?
Our web application enables users to travel from Indianapolis airport to pre-book their TSA slots. Probable phases
Enabling NoQ for airports in and around the state of Indiana
Admin page for the airport staff to enable customization ( e.g. flight information, slot entry time, number of slots, unavailability of slots etc.)
Mobile web support
Managing multiple user accounts
Email and Text notifications
A detailed 10-year revenue generation forecast
Generate a potential model for advertisement revenue at retail outlets in Airports
Focus on market expansion to other states
Based on the statistical data gathered from the Bureau of Transportation statistics, we have calculated the revenue and projected a potential three-year forecast.
Please follow the attached link for the detailed 3-year revenue generation forecast
Checklist of Completed Items