Expert Judgment

Informed opinions and advice from people or groups with specialized knowledge, skills, training, or experience in a relevant domain, applied to guide a specific project activity or decision.

Key Points

  • Draws on specialized expertise from individuals, teams, consultants, PMO, or external SMEs.
  • Used across many processes, such as chartering, estimating, risk analysis, quality, and procurement.
  • Best gathered and documented through structured techniques (interviews, workshops, Delphi) to improve reliability.
  • Assess credibility and potential bias, and combine with data or historical records when available.

Example

A project manager planning a pharmaceutical validation effort convenes senior quality engineers and a regulatory affairs specialist to define acceptance criteria and identify major compliance risks. Their recommendations shape the scope and approach.

PMP Example Question

While developing the project charter for a cloud migration, the project manager consults enterprise architects and the cybersecurity officer to assess feasibility and outline high-level risks. Which tool or technique is being used?

  1. Expert judgment
  2. Parametric estimating
  3. Checklists
  4. Control charts

Correct Answer: A — Expert judgment

Explanation: The PM is seeking guidance from specialists with relevant knowledge and experience; this is expert judgment, not a quantitative estimating or control tool.

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.

Eight teaching 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.

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