minimum viable product (MVP)

An approach to set the scope of the first customer release by choosing the smallest set of features or requirements that still delivers meaningful value.

Key Points

  • Defines what goes into the very first release to customers.
  • Includes only essential, value-adding features; defers nice-to-have items.
  • Enables quick feedback to validate assumptions and guide future work.
  • Helps balance scope, time, and budget by limiting initial functionality.

Example

A team building a ride-sharing app launches an MVP with account creation, pickup requests, driver matching, and payments. Features like driver ratings, route sharing, and promo codes are postponed for later iterations based on user feedback.

PMP Example Question

Which statement best describes a minimum viable product (MVP)?

  1. A complete set of features required for the product's long-term roadmap.
  2. The smallest feature set that delivers value to customers in the first release.
  3. An internal prototype built only to test technical feasibility with no customer value.
  4. A business case document that justifies funding for the entire product.

Correct Answer: B — The smallest value-delivering feature set for the first customer release

Explanation: An MVP focuses on the least amount of functionality that still provides real value to customers, enabling early release and feedback.

Agile Project Management & Scrum — With AI

Ship value sooner, cut busywork, and lead with confidence. Whether you’re new to Agile or scaling multiple teams, this course gives you a practical system to plan smarter, execute faster, and keep stakeholders aligned.

This isn’t theory—it’s a hands-on playbook for modern delivery. You’ll master Scrum roles, events, and artifacts; turn vision into a living roadmap; and use AI to refine backlogs, write clear user stories and acceptance criteria, forecast with velocity, and automate status updates and reports.

You’ll learn estimation, capacity and release planning, quality and risk management (including risk burndown), and Agile-friendly EVM—plus how to scale with Scrum of Scrums, LeSS, SAFe, and more. Downloadable templates and ready-to-use GPT prompts help you apply everything immediately.

Learn proven patterns from real projects and adopt workflows that reduce meetings, improve visibility, and boost throughput. Ready to level up your delivery and lead in the AI era? Enroll now and start building smarter sprints.

Explore the Course


Stop Managing Admin. Start Leading the Future!

HK School of Management helps you learn AI prompt engineering for project work. Move beyond status reports and risk logs with practical prompt frameworks for everyday tasks. Practical skills, tools, and guidance you can apply right away. Covered by Udemy's 30-day refund policy.

Enroll Now