How data helps find the right tool

In the summer of 2022, Data Storytelling participated in the Rutgers MBS Externship program as a mentor. We worked in a framework of data ambiguity to find the right tool for potential no-code platform users.

While it was academic, we also had a great time learning and exploring. I can’t gush hard enough about how fabulous the students in my group were – curious, respectful to each other, and open to the process of learning something outside their expertise.

Thank you, Diego, Griffin & Humza!

The Project

Outline Goals

Build a framework to understand the market of no-code platforms from an end-user and creator perspective and outline paths to find the right tool.

Define deliverables

  • Creating a detailed SWOT analysis (Strengths, Weaknesses, Opportunities, Threats) for 5 popular platforms,
  • Engineering a unique relational dataset, and
  • Designing a custom logic to build a quiz for ideal platform personas.

The Approach

In our weekly meetings, Data Storytelling guided the externship team through a series of thought exercises, research assessments and hypothetical outcome evaluations. Part of the process was to imagine analog analogies and mundane metaphors, each highlighting important elements to the design, logic or key variables being considered. In each iterative research review, we learned to identify elements that were compatible with specific needs.

The Results

Diego, Griffin & Humza developed persona narratives to match no-code options, matching needs with key platform offerings. Taking it one-step further, they designed logic and wrote a quiz program to help to-be app builders decide their best platform. I am posting their finale presentation here. I hope to have their quiz up on my site later this year!

Scroll through their final presentation

  • 3 columns outlining the things student's learned during project
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