Live Case – Project

Use live messaging/conversation data to understand brand affiliation

A Collaboration Between

Project 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 ( and are devoted to this. We have the advantage of having a private real-time data-set.

Project Topics

Company Information

CompanyMei App Inc
HQNew York
StagePre-Revenue Startup
Hiring PotentialN/A

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.

Experiential Learning Program Details

SchoolThe International Accreditation Council for Business Education (IACBE)
Engagement FormatLive Case - Think "Hackathon" or Case Competition with a whole class of students! This learning format allows educators to deliver experiential learning to students at scale. Students are often split into groups to work on a live case (or a series of cases) from a real host company that directly relates to key learning objectives.
Students EnrolledN/A
Meeting Day & TimeN/A
Student Time Commitment4-7 Hours Per Week
Company Time Commitment2 Hours
Duration1.71 Weeks

Program Timeline

Touchpoints & Assignments Due Date Type

Key Project Milestones

  • 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

Industry Mentors

Company Admin


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Academic Mentors


Phyllis Okrepkie

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Chakshu Mittal

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Assigned Students

There are currently no students assigned.