Capstone – Project
Use live messaging/conversation data to understand brand affiliation
A Collaboration Between
I run a messaging app with built-in AI that processes approx. a million SMS messages a day across thousands of users in the US. This project would involve taking conversation data we have to build user-friendly analytics for businesses/brands such as word clouds and customer profiles. For example, we found out people who mention “smiles direct club” talk about “golf” most frequently vs. the average person. These types of analytics are becoming commonplace in data-driven advertising and firms like dstillery (dstillery.com) and audience.ai are devoted to this. We have the advantage of having a private real-time data-set.
Company Information
| Company | Mei App Inc |
| HQ | New York |
| Revenue | Unlisted |
| Employees | 5-10 |
| Stage | Pre-Revenue Startup |
| Hiring Potential | Follow-on Projects |
| Website | https://textmei.com/ |
Company Overview
Mei (pronounced "May") is the first messaging app with a built-in AI assistant. Mei delivers real-time personalized analysis and advice based on your text conversations. Our app is designed to use data and AI to understand users and their contacts better than any other platform.
All you have to do is download Mei from the Google Play store and you can message any cell phone user in the world.
In addition to all the messaging functions that you'll find on most major messaging apps, we've added features and security including end-to-end encryption, emphemeral messages, and customizable view. You can find extra comfort knowing we don't ask for personally identifiable information, offering additional privacy.
Course Info & Engagement Details
| School | Stevens Institute of Technology, School of Business Industry Capstone Program |
| Engagement Format | Capstone - Small Team Consulting Project - Students work in small groups of 2-6 directly with faculty and host company project champions on developing real solutions to real-world challenges. |
| Course | Spring 2020 MBA Capstone |
| Level |
|
| Students Enrolled | N/A |
| Meeting Day & Time | N/A |
| Student Time Commitment | 8-15 Hours Per Week |
| Company Time Commitment | 2 Hours |
| Duration | 13.14 Weeks |
Project Topics
Data Management
Growth Strategy
Operations
Research & Development
Students
There are currently no students assigned.
Collaboration Timeline
| Touchpoints & Assignments | Due Date | Type | |
|---|---|---|---|
|
Engagement Kickoff
Engagement Kickoff |
February 3rd, 2020 | Event na | |
|
Complete Kickoff Evaluation
Complete Kickoff Evaluation
Survey link:
|
February 6th, 2020 | Event na | |
|
Kickoff Webinar
Kickoff Webinar
Meeting link:
|
February 7th, 2020 | Event na | |
|
Complete Temperature Check Evaluation
Complete Temperature Check Evaluation
Survey link:
|
March 3rd, 2020 | Event na | |
|
Complete Temperature Check Evaluation
Complete Temperature Check Evaluation
Survey link:
|
April 6th, 2020 | Event na | |
|
Submit Final Deliverable
Submit Final Deliverable
|
May 21st, 2020 | Submission Required submission-required | |
|
Engagement End
Engagement End |
May 22nd, 2020 | Event na | |
|
Complete Final Peer Evaluation
Complete Final Peer Evaluation
Survey link:
|
May 24th, 2020 | Event na | |
|
Complete Final Self Evaluation
Complete Final Self Evaluation
Survey link:
|
May 24th, 2020 | Event na |
Key Milestones & Project Process
-
February 14, 2020 - Understand Mei's Current Product & Data Model
- What does Mei do?
- How does it collect data?
- From whom?
Suggested Deliverable:
Prepare for a kickoff discussion with Mei
-
March 6, 2020 - How can Mei use their data from an advertising perspective?
- What correlations can Mei draw using their data?
- How is the data visualized to-date?
- What’s the use-case for this data from an advertising perspective?
- How valuable is the data? Who would want to use this data? How much would they be willing to pay for access?
Suggested Deliverable:
Prepare an overview of Mei’s product extension into advertising
-
April 3, 2020 - Propose Product Strategy for Go-To-Market
- How can the data be better visualized for the purposes of advertisers?
- What are advertisers looking for?
- What information needs to be included?
Suggested Deliverable:
Propose sample dashboard based on Mei data and query results that addresses the needs of advertisers
-
May 8, 2020 - Outline Business Plan
- What’s the problem?
- What’s the product? How does it solve the problem?
- Who’s the target audience? What’s the market size?
- Who are the key competitors?
Suggested Deliverable:
Final Business Plan Presentation
Project Resources
There are no resources currently available
Company Supervising Team
There are currently no supervisors assigned.
School Supervisors
