Complete AI Training

Prompt course · 8 lessons · 25 prompts · 1 hour · Beginner

AI for Chief Product Officers (CPOs)

Eight short lessons that turn your product prompts into a working habit. Each one targets a real Chief Product Officer task, from vision drafting to board updates.

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What you'll learn

  • Vision drafting: Turn a fuzzy ambition into a vision, a narrative, and a set of testable assumptions.
  • Roadmap alignment: Shape an outcome-based roadmap and give engineering the context they need to act.
  • Backlog calls: Score and reframe priorities so your reasoning holds up in a room.
  • Feedback themes: Turn interview notes, tickets, and surveys into themes you can act on.
  • Market scan: Pull competitor moves and market signals into one concise strategic view.
  • Launch planning: Plan a launch, brief the teams, and catch readiness gaps early.
  • Metrics review: Explain what moved and prepare better questions for the data.
  • Board updates: Turn strategy and numbers into a crisp update for executives and investors.

What's inside

8 lessons · 25 prompts
  1. Before you start · framework course RACE Prompt Framework: Role, Action, Context, ExpectationRACE fits your Chief Product Officer work because you can specify role, action, context, and expectation when requesting a pricing strategy review.
  2. Start here Priya's Wednesday, two waysA day in the life of a Chief Product Officers (CPOs), before and after these prompts.
  3. 01 Lesson 1 · 3 prompts Product Vision Drafting
  4. 02 Lesson 2 · 3 prompts Roadmap And Engineering Alignment
  5. 03 Lesson 3 · 3 prompts Backlog Prioritization
  6. 04 Lesson 4 · 4 prompts Customer Feedback Synthesis
  7. 05 Lesson 5 · 3 prompts Market And Competitor Analysis
  8. 06 Lesson 6 · 3 prompts Launch Coordination
  9. 07 Lesson 7 · 3 prompts Product Metrics Review
  10. 08 Lesson 8 · 3 prompts Executive And Board Communication

About this course

7 topics

Prompt course for Chief Product Officers

This course is a set of eight prompts, each built for a task you already do. You will draft a product vision, shape a roadmap, sort a backlog, read customer feedback, scan the market, plan a launch, review metrics, and write a board update.

Every lesson shows the prompt, explains why it is worded that way, and gives you a place to make it yours. You can work through it in order or jump to the task that is pressing this week.

  1. The lessons
    1. Product Vision Drafting: Use AI to turn fuzzy product ambitions into a clear vision, narrative, and set of testable assumptions.
    2. Roadmap And Engineering Alignment: Use AI to shape an outcome-based roadmap and translate it into context engineering teams can act on.
    3. Backlog Prioritization: Use AI to score, reframe, and defend feature priorities without getting lost in opinions.
    4. Customer Feedback Synthesis: Use AI to turn interview notes, tickets, and surveys into themes you can act on.
    5. Market And Competitor Analysis: Use AI to scan market signals and competitor moves into a concise strategic view.
    6. Launch Coordination: Use AI to plan launches, brief cross-functional teams, and spot readiness gaps early.
    7. Product Metrics Review: Use AI to explain metric movements, prepare reviews, and ask better questions of data.
    8. Executive And Board Communication: Use AI to turn product strategy and metrics into crisp updates for executives, boards, and investors.
  2. What the course covers

    Eight lessons, each tied to one part of your job. You get the prompt, a short explanation of the structure, and guidance on what to change for your company.

    The lessons are written for product leaders who are not technical. No setup beyond the AI tool you already use.

  3. How the lessons connect

    The order follows the way product work flows. Vision first, then roadmap and backlog, then customer and market input, then launches, metrics, and the board.

    You can also read them as a set of tools. When a board update lands on your calendar, go straight to that lesson.

  4. How to use the prompts well

    Give the AI your real context: the product, the customer, the constraint, the decision you are facing. Short, specific input beats long, vague input.

    Treat the first answer as a draft. Ask for a shorter version, a version for engineers, or a version that names the tradeoffs. Then edit in your own voice.

  5. Who this course is for

    Chief Product Officers and product leaders who own vision, roadmap, and the story told to executives. It also suits senior product directors stepping into the role.

    If you spend your week writing, prioritizing, and explaining, these prompts will fit.

  6. Safety and privacy for this job

    Product work touches customer names, unreleased plans, and financial numbers. Keep those out of tools your company has not approved, and check your settings before you paste anything.

    A good habit is to describe the situation without the identifying details. The prompts work just as well with a plain description.

  7. Your next step

    Pick the lesson closest to this week's hardest task. Run the prompt once, edit the output, and see what it saves you.

    Then try the next one. Two or three lessons in, the habit starts to stick.