MoSCoW Method
A prioritization technique that categorizes requirements into Must-have, Should-have, Could-have, and Won't-have. It creates clear alignment on what is essential for a release versus what can be deferred or dropped entirely.
MoSCoW works by forcing stakeholders to make explicit trade-offs rather than treating every requirement as high priority. Must-haves are non-negotiable for launch. Should-haves are important but the product can ship without them. Could-haves are desirable extras. Won't-haves are explicitly out of scope for the current cycle. This clarity prevents scope creep and keeps teams focused on delivering core value.
When building AI features, MoSCoW helps teams resist the temptation to pursue perfect model performance before shipping. A must-have might be that the model handles the top three use cases with 90% accuracy, while handling edge cases gracefully is a should-have. Growth teams use MoSCoW to ensure launch milestones include essential instrumentation and analytics alongside the feature itself. By explicitly categorizing what won't be included, teams avoid the common AI product trap of delayed launches due to endlessly pursuing higher accuracy on diminishing-return scenarios.
Related Terms
Product-Market Fit
The degree to which a product satisfies strong market demand. Achieving product-market fit means customers are actively seeking, using, and recommending your product because it solves a real and pressing problem for them.
Jobs to Be Done
A framework that defines customer needs as functional, emotional, and social jobs people hire products to accomplish. It shifts focus from demographic segments to the underlying progress customers are trying to make in specific circumstances.
Minimum Viable Product
The simplest version of a product that can be released to test a core hypothesis with real users. An MVP delivers just enough functionality to gather validated learning while minimizing development time and cost.
Minimum Lovable Product
An evolution of the MVP concept that emphasizes delivering enough quality and delight that early users genuinely love the product. It balances speed-to-market with the emotional engagement needed to drive organic word-of-mouth growth.
Design Sprint
A five-day structured process for rapidly prototyping and testing ideas with real users. Developed at Google Ventures, it compresses months of debate into a focused week of mapping, sketching, deciding, prototyping, and testing.
Lean Startup
A methodology for developing businesses and products through validated learning, rapid experimentation, and iterative releases. It emphasizes reducing waste by testing assumptions before building fully-featured solutions.