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Review meeting

As explained in Delivering Machine Learning Projects: From design to deployment

A review meeting is a structured meeting for examining project work or readiness against defined criteria.

A review meeting is a structured checkpoint for examining project status, risks, readiness, or completed work against an agreed purpose. Its outputs should be visible: minutes, actions, decisions, and updated follow-up items. section 4.3.2 section 3.2

Use the meeting differently at each delivery stage:

  • Run a weekly review with the product owner to provide a general update, review the risk register, record minutes, and carry actions into the next meeting. section 4.3.2
  • Use pre-sales review meetings to walk through a checklist confirming that the project definition, estimate, team design, resourcing, and known constraints have been addressed. section 3.2
  • After a sprint, review challenges with stakeholders and the product owner so unresolved problems can inform the next sprint-planning session. section 4.3.2

Weekly project review

Invite the product owner, present the current project status, inspect the risk register, capture decisions and actions in minutes, distribute them, and roll unfinished actions forward. section 4.3.2

How Delivering Machine Learning Projects: From design to deployment covers it

How deep it goes
Defines checkpoints, participants, agendas, minutes, and follow-up actions, but does not detail facilitation techniques.
Examples
Uses weekly updates, risk-register reviews, circulated minutes, pre-sales checklists, and sprint demonstrations of models, pipelines, or interfaces.
What it assumes
Assumes a defined project, an estimate or work plan, accountable stakeholders, and—when applicable—a sprint-based structure.
What you can do after
Operate a review cadence that exposes risks, confirms readiness, assigns follow-up actions, and feeds unresolved problems into planning.
How it connects
Connects review meetings with sprints, product owners, risk registers, project estimates, sprint planning, and stakeholder sign-off.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Delivering Machine Learning Projects: From design to deployment. The section links point to the parts of the book it draws on.