Financial Glossary
Minimum Viable Product (MVP)
A Minimum Viable Product (MVP) is the earliest version of a product that delivers enough core value to attract early adopters, generate real-world usage data, and test the team's most critical assumptions about the market -- with the minimum investment of time and resources necessary to do so. The emphasis is on learning, not completeness. An MVP is not a buggy prototype; it is a deliberate scoping decision about which features are required to answer the most important business question. The concept, popularized by Eric Ries in The Lean Startup, is most applicable in early-stage product development where the cost of building the wrong thing in full is high and customer feedback is uncertain.
Problem & Application
A founder building expense-tracking software for short-term rental operators wants to test whether hosts will pay to automate the categorization of Airbnb and Vrbo payouts into tax-ready expense reports. The full vision requires API integrations with both platforms, a machine-learning categorization engine, and a mobile app. The MVP, by contrast, is a manual-but-fast version: the founder offers to personally process a host's payout CSV file monthly and return a formatted spreadsheet, charging $49/month. If 20 hosts pay and use it for three months, the demand assumption is validated without building the product. This is the classic "concierge MVP" -- human labor substitutes for automation to test willingness to pay before writing a line of code. Financially, the MVP phase determines whether the unit economics justify the build: if hosts churn after one month, the LTV does not support the CAC of a full marketing effort. A fractional CFO advising a pre-seed founder would frame MVP success criteria in financial terms -- minimum paying customers, minimum retention rate, minimum average revenue per user -- that define what "good enough to raise a seed round" looks like.
In Short
An MVP is an essential strategy for testing market viability, reducing waste, and iterating quickly based on user feedback.