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Project Management with AI

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Capacity Planning

Estimating the amount of work a team can realistically complete during a single iteration or program increment.

Key Points

  • Uses team availability, skills, holidays, and existing commitments to forecast workable load.
  • Informs iteration/PI scope so the team neither overcommits nor sits idle.
  • Often expressed in story points, ideal hours, or average throughput based on historical data.
  • Recalibrated each planning cycle to reflect changes in WIP, dependencies, and risks.

Example

Before PI planning, a team totals 60 person-days for the next iteration after accounting for vacations and support duties. Their recent average throughput is about 25 story points per iteration. They set a target of 24-26 story points, reserve a small buffer for unplanned work, and select backlog items to match that capacity.

PMP Example Question

During iteration planning, a Scrum team reviews member availability, recent velocity, and known support work to set a realistic commitment. What practice are they applying?

  1. Release burnup tracking
  2. Definition of Done
  3. Capacity planning
  4. Earned value analysis

Correct Answer: C — Capacity planning

Explanation: Capacity planning determines how much work the team can take on in the upcoming iteration or program increment based on availability and historical performance.

Advanced Project Management — Measuring Project Performance

Move beyond guesswork and status reporting. This course helps you measure real progress, spot problems early, and make confident decisions using proven project performance techniques. If you manage complex projects and want clearer visibility and control, this course is built for you.

This is not abstract theory. You’ll work step by step through Earned Value Management (EVM), learning how cost, schedule, and scope come together to show true performance. You’ll build a solid foundation in EVM concepts, understand why formulas work, and learn how performance data actually supports leadership decisions.

You’ll master Work Breakdown Structures (WBS), control accounts, and budget baselines, then apply core EVM metrics like EAC, TCPI, and variance analysis. Through a detailed real-world example, you’ll forecast outcomes, analyze trends, and understand contingencies and management reserves with confidence.

Learn how experienced project managers monitor performance, communicate results clearly, and take corrective action before projects slip. With practical exercises and hands-on analysis, you’ll be ready to apply EVM immediately. Enroll now and start managing performance with clarity and control.

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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 and Technology, not on Udemy.

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