Baseline

An officially approved snapshot of a work product that may be altered only through formal change control and serves as the benchmark for comparing plan versus actual results.

Key Points

  • Represents the approved, frozen reference version of the plan or deliverable.
  • Any change to it requires a documented change request and formal approval.
  • Used to measure variances and track performance against what was planned.
  • Common types include scope, schedule, and cost baselines, which together support performance measurement.

Example

The project schedule is approved and set as the schedule baseline on May 1. Two weeks later, a task slips by 5 days. The team reports a 5-day schedule variance against the baseline. To reflect an approved scope change that shifts dates, the PM submits a change request; only after approval is the schedule baseline updated.

PMP Example Question

During execution, an approved scope change causes the critical path to slip by 10 days. What should the project manager do to keep performance measurement accurate?

  1. Update the schedule and baseline immediately to match actuals.
  2. Submit a change request to update the schedule baseline through integrated change control.
  3. Re-baseline the entire project only after project closure.
  4. Do nothing; baselines should never be changed.

Correct Answer: B — Submit a formal change request to update the baseline

Explanation: Baselines can be modified only through formal change control after approval; this keeps comparisons of planned versus actual results valid.

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