Improving Onboarding Experience: Truist Bank


Description:
We have designed an interactive onboarding process for Truist bank to streamline the process of setting up a new account. The onboarding process guides users through essential tasks like making their first deposit, monthly insights, setting up alerts, bill pay etc. The process was designed in a logical manner with progressive disclosure of tasks and guidance to avoid overwhelming the users. The onboarding process prototype was designed to seamlessly integrate with the existing Bank app to give a coherent experience. Key features include onboarding progress tracking, ability to skip through tasks, a new in-app notifications feature and a modern,clean and intuitive experience.

Team Members:
- Deep Patel (dmpatel7)
- Atharva Patil (aspatil2)
- Manan Tiwari (mtiwari3)
- Aditi Varma (avarma4)

Deliverables:
1. Presentation
2. Prototype (Figma)
3. Screencast

Stage Reports:
1. Research
2. Generate
3. Choose
4. Prototype
5. Evaluate

Project: MTB Status


Description:

Imagine that you are going on a Mountain Bike ride with your friends. Unfortunately, you come across an emergency. Your bike falls off an unforeseen obstacle. You hurt your leg really bad. You are bleeding. Your friends have already gone ahead. You want to immediately inform all your friends about the emergency situation that you are facing. 


Wouldn't it be great if there was an application using which you could directly send an emergency SOS signal to all your friends?


MTB Status is a proposed solution for mountain bikers in emergency situations. Users can view their friends, chat with them to see who are in for a ride. Using the emergency contacts flow, one can add emergency contacts before the ride starts. In case of an emergency, one can send an SOS contacts to their emergency contacts, and also raise an alarm from their device to inform nearby riders about the situation.   

 

Team Members:

  • Dylan Lang

  • Jack Hou

  • Yash Chandrani

  • Sumedh Deepak Patkar    

 

Deliverables:

 

 

Stage Reports: 

 

 

 

 

Project: FMX - Maintain Merge





Description:

FMX creates facilities management software to help customers with their facility maintenance, asset management, and scheduling needs. One key pillar of their product is work order management, which allows users to easily submit, assign, and resolve maintenance issues in their facilities.

Their customers commonly receive multiple reports of the same maintenance issue (for example, more than one staff member reporting a broken window in a school cafeteria). To speed up their workflows, they want help accurately identifying duplicate requests and a workflow for merging them.

In this project, we have aimed to simplify the problem of detecting and managing issue duplicates for supervisors and help them merge issues easily. We use an algorithm to identify potentially duplicate issue requests. These are then displayed to the supervisor on a Kanban board with highlights. The supervisor can then easily look at the duplicate maintenance issues and manage them at their discretion.



Team Members:
- Mugdha Joshi (mjoshi5)
- Ishan Mistry (ihmistry)
- Harsh Shelar (hshelar)
- Nidhay Pancholi (nrpancho)

Deliverables:

1. Presentation
2. Prototype
3. Screencast

Stage Reports:
1. Research
2. Generate
3. Choose
4. Prototype
5. Evaluate


Project: OddBalls



Description:

Our project is a visual matching game developed using generative AI technology, which continuously generates new and unique puzzles. This keeps the gameplay both exciting and educational. The main feature is its "slow reveal" mechanic, where images are gradually uncovered, adding an element of suspense and making the game more engaging. This approach not only entertains but also educates, as players learn about different topics while playing. Designed to be accessible and enjoyable for players of all ages, the game combines fun gameplay with educational content, ensuring that each game session is both enjoyable and informative.

Team Members:
- Aditya Iyer (asiyer2)
- Anish Rao Toorpu (atoorpu)
- Bahare Riahi (briahi)
- Mahathi Kolishetty (mkolish)
- Mery Harika Gaddam (mgaddam)

Deliverables:

1. Presentation
2. Prototype (Web Version)
3. Prototype (Documentation)
4. Github Repository
5. Screencast

Stage Reports:
1. Research
2. Generate
3. Choose
4. Prototype
5. Evaluate

Project: AI Knowledge Transfer


Description:
As people change jobs, the "tribal" knowledge they gained at their old organization is largely lost. Tribal knowledge refers to informal knowledge captured from sources like personal chats, group messages, or meeting transcripts. Could integrating AI help enhance knowledge transfer? The solution to this might involve beginners exploring the knowledge via simple AI-powered chatbots, and possibly, feedback loops on the knowledge base to understand questions being asked and the quality of answers, enabling additional refinement of the knowledge base.

Our project explores knowledge transfer in the context of NC State's student organizations and clubs. Due to the short-lived nature of most club memberships, and the tendency for clubs to use messaging platforms like Discord or Google Meet, it becomes imperative to utilize the tribal knowledge captured from these sources.

We have built a prototype using Figma that explores three distinct flows to solve our problem. The first flow depicts an event scheduler that uses AI to generate checklists of tasks that need to be performed. The next flow depicts an AI chatbot that uses past knowledge to enhance answers to commonly asked questions. Finally, the third flow allows a user to upload club files and transcripts to a document platform that would eventually be used to train the AI.

Team Members:
- Tung Tran (tatran5)
- Joshua Joseph (jjoseph6)
- Soubhagya Akkena (sakkena)
- Nitya Naga Sai Atluri (natluri)
- Feng Wang (fwang32)

Deliverables:

Stage Reports:

Project: AI for Visualization

 

Description 
This data visualization tool is designed to simplify the creation and analysis of data visualizations for users with limited coding or data visualization experience. It leverages AI technology to assist in the seamless integration and visualization of data, making it particularly accessible for novice users while still powerful enough for more experienced analysts. Users can connect datasets, utilize AI-driven suggestions for optimal chart types, and interact with data through an intuitive chat-like interface. Additional features include the ability to drill down into specific data points and share customized, insightful visualizations with colleagues effortlessly. The goal of this tool is to reduce the steep learning curve often associated with data analysis and visualization, thereby enhancing productivity and enabling a broader range of professionals to make data-driven decisions efficiently.

Team Members 
Andrew Lopez (ailopez)
Anisha Chazhoor (aschazho)
Biqing Su (bsu5)
Pankaj Manoharlal Thakur (pmanoha)

Deliverables 
Presentation
Screencast
Prototype
Prototype (Live Preview)

Stage Reports 

Project: triUXPA Refresh


Description:

In 2006, the Triangle User Experience Professionals Association (TriUXPA) was established as the local chapter of the User Experience Professionals Association, dedicated to fostering a vibrant community of practitioners in the Raleigh/Durham/Chapel Hill area who are passionate about creating exceptional user experiences. Over time, it became evident that the TriUXPA website needed a facelift to better reflect its mission and engage with its audience. Concerns arose regarding the site's outdated appearance hindering the association's growth and outreach efforts as a 501c non-profit.
To address these challenges, a project was undertaken to refresh the website, focusing on three key areas: the UX Resource Hub, the Event Section, and the overall color scheme and aesthetics. Utilizing Figma, a prototype was developed and tested, receiving positive feedback from users. This blog explores the journey and outcomes of this transformative project, showcasing the dedication of the TriUXPA community to enhancing user experiences both online and offline.

Team Members:
  • Kabirsingh Karamjeetsingh Bhatia (kbhatia)
  • Sai Rithvik Ayithapu (sayitha)
  • Rishab Anil Muzhangathu (ramuzhan)
  • Yiran Zhu (yzhu59)

    • Deliverables:

  •  Presentation
  •  Prototype (Web Version)
  •  Prototype (Documentation)
  •  Screencast

    • Stage Reports:
  • Research
  • Generate
  • Choose
  • Prototype
  • Evaluate

    • Project: Lexis Virtual Courtroom - Evidence 360

     





    Description

    In 2020, an unexpected precedent was set where physical work environments were expected to transition into a virtual one, and while this transition was easy for certain professions, a courtroom was not one of them.
    There are multiple reasons why having a virtual courtroom is a difficult task. Capturing emotion and body language along with providing capabilities for side bar conversations between different members of the trial is difficult through a virtual environment. However, the biggest concern is sharing physical evidence. Even in a physical environment, sharing physical evidence with jurors can be challenging, as not all evidence is easily accessible to the jurors. However, using state of the art affordable technologies like VR/AR headsets and 3D rendering, sharing evidence can be done in a more realistic manner.

    The prototype of our project was built using spatial.io and visualized using Occulus rift. With spatial.io we were able to 3D render a crime scene along with the associated evidence in a virtual reality plane. With this ability, the jury will be able to easily examine the evidence, explore the crime scene and have more information at their disposal, to form the final opinion regarding the verdict of the case.

    Team Members

    • Joseph Antony Vaikath
    • Shakthi Nanda Govindan
    • Manoj Kumar
    • Uma Gnanasundaram
    • Dhanush Binoy
    • Renji Joseph Sabu
    • Ashwin Das

    Deliverables

    Stage Reports