Verified Deliverables

Finished project outputs that have passed the Control Quality checks and are verified to meet stated requirements and be correct.

Key Points

  • Created as an output of the Control Quality process.
  • Serve as inputs to Validate Scope, where the customer or sponsor accepts them.
  • Supported by evidence such as test results, inspection reports, and completed checklists.
  • Confirmed against quality metrics and requirements, but not yet formally accepted by the customer.

Example

A project team completes a mobile app feature. QA executes all planned test cases, logs results, and confirms the feature meets performance and security requirements. With defects resolved and evidence documented, the feature is marked as a verified deliverable and then submitted to the customer for acceptance in Validate Scope.

PMP Example Question

After Control Quality is completed, the team submits test reports and inspection logs showing that the finished module meets all specified requirements. What is the best term for this output?

  1. Accepted deliverables
  2. Scope baseline
  3. Verified deliverables
  4. Work performance reports

Correct Answer: C — Verified deliverables

Explanation: Control Quality produces verified deliverables, which are later presented in Validate Scope to obtain customer acceptance and become accepted deliverables.

AI Systems with Claude, for Scrum Masters and Project Managers

Most AI pilots in project management do not fail on the model. They fail because somebody pointed the thing at a decision instead of at a task. This course is built around that distinction, and around the work that follows once you get it right.

Seven sections, taught against one running project from the first lecture to the last. You watch a system get built, then you build the same one against your own sprint. Nothing here is a demo that works only on the example.

You finish with five working systems and you keep them. The sprint report machine turns your board export and standup notes into the report you currently write by hand. The retro intelligence system tells you what the team keeps saying, not just what it said this time. The stakeholder comms engine drafts the update in the register the audience expects. The backlog health monitor flags the quiet decay nobody has time to check for. The risk and dependency tracker follows the chains that actually bite.

Seventy-six working files ship with it, across four sections, so every system is built against real sprint data rather than material invented for a slide. Four sprints of retrospectives, board exports, standup notes, backlog and risk data.

Explore the Course


Build complete project plans in minutes with AI

Learn how to use AI to create charters, WBSs, schedules, risk registers, and executive reports while staying in control. This course gives you prompt templates and practical workflows based on real project work. Practical skills, tools, and guidance you can apply right away. Covered by Udemy's 30-day refund policy.

Learn More