Mentorship Marketplace: Proving Demand and Testing a First Version

You are exploring a product that pairs mentors with mentees. Explain how you would find out whether there is a real market with a product that fits it, and how you would validate a minimum viable product. ### Clarifying Questions - What kind of mentoring is this: career guidance for working professionals, help for students, advice for founders, or is that ours to choose? - Is this a new standalone product, or part of an existing company whose users and distribution we can draw on? - Who is expected to pay: mentees, their employers or schools, or nobody, with mentors volunteering? ### Part 1 — Establish the market and the fit How would you decide which mentors and mentees to serve, and what evidence would show that the need is real and that your product meets it? ```hint Look for workarounds People who badly need a mentor are already doing something about it. Find out what that is and how much effort it costs them, on both the mentor side and the mentee side. ``` #### What This Part Should Cover - Candidate segments on both sides of the match, and the choice of which pair to serve first - Evidence of demand drawn from research and existing behavior, including whether enough mentors will take part - Signals, qualitative and quantitative, that separate product-market fit from early curiosity ### Part 2 — Validate the MVP What is the smallest product you would launch to test your riskiest assumptions, and how would you decide whether it worked? ```hint Order the assumptions List what must be true for this product to work, rank those beliefs by how likely they are to be wrong and how costly that would be, and aim the first test at the top of the list. ``` #### What This Part Should Cover - The MVP's form and what it deliberately leaves out - Success criteria and thresholds set before launch, with how each is measured - The decision after the test: continue, change the segment or format, or stop ### What a Strong Answer Covers - A two-sided view throughout, treating the scarcer side as the constraint - Behavioral evidence weighted above stated interest - Trust and safety between strangers meeting one to one - A path from the MVP to a product that scales, and to a business model ### Follow-up Questions - Mentees sign up quickly, but mentors drop out after one or two sessions. What do you change? - How would you measure whether mentoring improved mentees' outcomes, rather than only whether they enjoyed the sessions? - At what point would you build automated matching, and what data would it need?