Fintech Startup

ProHub Comment

This is a candidate-led case requiring strong problem-solving structure. The candidate must independently ask about customer preferences, financial feasibility, and resource constraints, then synthesize data from multiple exhibits to reach a structured recommendation. The case tests graphical analysis, mental math (revenue calculations), and creative thinking around fundraising solutions.

Estimated Time 15 minutes
Difficulty Hard
Source Columbia
50 / 100
Your client is an up-and-coming fintech startup that has reached a critical juncture in developing its main product, a machine-learning based platform that will be used by banks to improve their decision-making about whether to accept or reject loan applications. The CEO is wondering if a certain capability should be added to the platform or not. How would you help her think about this issue?

Clarifying Information

  1. CRITICAL: What new feature is the CEO thinking of adding? Bias detection capability
  2. What is the goal of the client here? Maximize potential revenue/sales opportunities within reason
  3. What is the business plan of the startup? How do they plan to make money? Sell the platform to banks for $
  4. If the candidate asks any other questions, say we’ll get to it later if it happens to become relevant. (including financial situation of startup—which is actually a great question to ask here)