Capstone – Project

Use live messaging/conversation data to understand brand affiliation

A Collaboration Between

Engagement Synopsis

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

CompanyMei App Inc
HQNew York
RevenueUnlisted
Employees5-10
StagePre-Revenue Startup
Hiring PotentialFollow-on Projects
Websitehttps://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

SchoolStevens Institute of Technology, School of Business Industry Capstone Program
Engagement FormatCapstone - 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.
CourseSpring 2020 MBA Capstone
LevelN/A
Students EnrolledN/A
Meeting Day & TimeTBD
Student Time Commitment8-15 Hours Per Week
Company Time Commitment2 Hours
Duration13.14 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

There are currently no supervisors assigned.