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Prompt course · 8 lessons · 28 prompts · 1 hour · Beginner

AI for Program Managers

Eight short lessons that walk a program manager through scope, milestones, stakeholders, risk, budget, and reporting. Each lesson gives you prompts to paste into ChatGPT, Claude, or Gemini.

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What you'll learn

  • Shape the scope: Draft a charter with clear success criteria and the assumptions hiding underneath.
  • Plan milestones: Turn scope into a timeline with dependencies you can explain to a sponsor.
  • Write updates: Prepare stakeholder messages for good news and for hard news.
  • Run better meetings: Set agendas, capture decisions, and clear blockers across teams.
  • Manage risk: Build a risk register with mitigations and a short escalation note.
  • Explain the budget: Turn variance numbers into a plain explanation and a clear request.
  • Report progress: Convert tracker data into status reports and executive summaries.
  • Steer a slipping program: Troubleshoot delays, draft a recovery plan, and test your assumptions.

What's inside

8 lessons · 28 prompts
  1. Before you start · framework course RISEN Prompt Framework: Multi-Step Work Done RightProgram managers can use RISEN to structure multi-step deliverables, such as a phased project rollout plan with clear roles and success measures.
  2. Start here Priya's Thursday, two waysA day in the life of a Program Manager, before and after these prompts.
  3. 01 Lesson 1 · 3 prompts Scope And Charter Basics
  4. 02 Lesson 2 · 3 prompts Schedule And Milestone Planning
  5. 03 Lesson 3 · 4 prompts Stakeholder Communication
  6. 04 Lesson 4 · 5 prompts Cross-Team Coordination
  7. 05 Lesson 5 · 3 prompts Risk And Issue Management
  8. 06 Lesson 6 · 3 prompts Budget And Resource Reviews
  9. 07 Lesson 7 · 4 prompts Progress Reporting
  10. 08 Lesson 8 · 3 prompts Program Health And Recovery

About this course

7 topics

Prompts for Program Managers: From Scope to Recovery

This course is a set of prompts that match the work you already do. Scope, schedules, stakeholder updates, cross-team meetings, risk, budget, reporting, and recovery when a program slips.

You bring a real program. The AI helps you draft, organize, and pressure-test what you have, and you keep the final say on everything that leaves your desk.

  1. The lessons
    1. Scope And Charter Basics: Use AI to shape a clear project scope, success criteria, and early assumptions before work begins.
    2. Schedule And Milestone Planning: Use AI to turn scope into milestones, dependencies, and a practical timeline draft.
    3. Stakeholder Communication: Use AI to prepare clear, audience-appropriate updates and difficult messages for stakeholders.
    4. Cross-Team Coordination: Use AI to run better cross-functional meetings, capture decisions, and unblock dependencies.
    5. Risk And Issue Management: Use AI to build risk registers, mitigation plans, and escalation messages for program threats.
    6. Budget And Resource Reviews: Use AI to explain variances, compare resource options, and draft requests for more support.
    7. Progress Reporting: Use AI to turn program data into status reports, executive summaries, and metric narratives.
    8. Program Health And Recovery: Use AI to troubleshoot slippage, draft recovery plans, and stress-test program assumptions.
  2. What the course covers

    Eight lessons follow the arc of a program: scope and charter, schedule and milestones, stakeholder communication, cross-team coordination, risk and issues, budget and resources, progress reporting, and program health and recovery.

    Each lesson gives you a set of prompts to paste into your AI tool, plus a short note on what to check before you use the output.

  3. How the lessons connect

    The order matters. Scope sets the success criteria that later milestones and reports refer back to. Risk work builds on the dependencies you mapped earlier.

    You can also jump straight to a lesson when something lands on your desk, like a budget review or a program that has started to slip.

  4. How to use the prompts well

    Give the AI your real context: the program name, the audience, the constraint, the tone your organization uses. Vague input gives you generic output.

    Treat every draft as a starting point. Read it, cut what is wrong, and add the detail only you know.

  5. Who this course is for

    Program managers running multi-team initiatives with real budgets and real deadlines. It is also useful if you are moving into program management from project management or a functional role.

    It assumes you know your program. It does not assume you know anything about AI.

  6. Safety and privacy for this job

    Program work touches budgets, contracts, personnel, and sometimes customer data. Follow your company's rules about what can go into an outside tool.

    A safe habit is to describe the situation in general terms and leave out names, figures, and anything marked confidential until you know it is allowed.

  7. Your next step

    Open the first lesson and bring a program you are already running. Draft the scope and success criteria with the AI, then compare it to what you wrote yourself.

    Keep the prompts that worked and save them somewhere you will find them again.