Market Validation Study - Dataframes

Closed
Dataframes
New York, New York, United States
Project
Academic experience
80 hours per learner
Learner
Anywhere
Intermediate level

Project scope

Categories
Market research Competitive analysis Marketing analytics Data science
Skills
target market microsoft powerpoint marketing market size market research
Details

We are looking to gain a better understanding of out target market to ensure we are positioning ourselves in the right segment, offering effective benefits, and creating the best marketing messages. We also need to gain better insights into our market size, total addressable market, and potential market share.

To accomplish this, you could focus on providing:

  • A complete analysis of our current offerings, our target market, and the positioning of our brand.
  • Executing further market research to develop a comprehensive report of our target market.

We hope to gain a comprehensive understanding of our target market and how we can better satisfy their needs. We would like recommendations on how to improve our positioning, brand, and products to better suit the market.

Deliverables

The final deliverables should take the form of:

  • A final report
  • A powerpoint presentation with supported by our team
Mentorship

Students will connect directly with the employer for mentorship and supervision throughout the project. Also will be able to review our platform and product.

About the company

Company
New York, New York, United States
It & computing, Human resources & recruitment

Dataframes is a data science assessment platform with the mission of optimizing top tier companies' hiring process. We currently work with organizations like Prudential, T-Mobile, SunLife Financial and others. Through our offerings, companies are able to evaluate candidates on a technical level in a much more efficient way. Our team comes from some of the industry's best firms including Accenture, Visa, Royal Caribbean, Yum Brands, and more. We build assessments with real world use cases and purposely use messy data to replicate what should be expected from the day-to-day of the role. As we continue to grow, we are looking to expand our services to benchmarking and upskilling current teams at various companies through custom curriculums.