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Acceptance Criteria

The explicit, agreed-upon conditions that must be satisfied before a deliverable can be formally approved and accepted.

Key Points

  • Clear, measurable, and testable conditions that define when a deliverable is “done.”
  • Agreed with key stakeholders and documented in the requirements and scope baseline.
  • Provide the objective basis for approval during Validate Scope via inspection, testing, or review.
  • Must be unambiguous and linked to specific requirements to prevent disputes and rework.

Example

For a CRM data migration deliverable: at least 99.5% of records match the legacy system, zero critical defects remain, a reconciliation report is approved by Finance, and Sales Operations signs off on user acceptance testing.

PMP Example Question

Which item defines the objective pass/fail conditions used to approve a project deliverable?

  1. Acceptance criteria
  2. Project charter
  3. Work breakdown structure
  4. Risk register

Correct Answer: A — Acceptance criteria

Explanation: Acceptance criteria specify measurable conditions for approval. The project charter authorizes the project, the WBS decomposes scope, and the risk register tracks risks.

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.

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Build the Sprint Reporting System, Not Another Prompt

AI Systems with Claude is our own course for Scrum Masters and Agile Project Managers, taught against one running project across eight teaching sections. You build five working systems and keep them: the sprint report machine, the retro intelligence system, the stakeholder comms engine, the backlog health monitor, and the risk and dependency tracker. Direct from HK School of Management, not on Udemy.

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