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Prompt course · 8 lessons · 26 prompts · 1 hour · Beginner

AI for Engineering Managers

This prompt course gives engineering managers ready-to-use prompts for planning, status updates, staffing, design reviews, one-on-ones, budgets, and performance reviews. Each lesson turns a common management task into a clear draft you can edit and own.

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What you'll learn

  • Project Planning Basics: Turn a rough project idea into a timeline, milestones, and a risk register.
  • Status Updates: Draft clear status updates and executive summaries that keep stakeholders informed.
  • Capacity Planning: Plan staffing, model team capacity, and design fair on-call rotations.
  • Design Reviews: Prepare for technical design reviews with checklists and tradeoff summaries.
  • One-on-Ones: Run better 1:1s, create growth plans, and write constructive feedback.
  • Cross-Functional Work: Coordinate across teams with agendas, RACI charts, and decision logs.
  • Budget Requests: Build budget justifications, estimate cloud costs, and write headcount requests.
  • Reviews and Promotions: Draft performance reviews, build promotion cases, and calibrate ratings fairly.

What's inside

8 lessons · 26 prompts
  1. Before you start · framework course RISEN Prompt Framework: Multi-Step Work Done RightRISEN helps you turn vague requests into clear rollout plans, like drafting a phased migration spec for your team.
  2. Start here Ravi's Thursday, two waysA day in the life of an Engineering Manager, before and after these prompts.
  3. 01 Lesson 1 · 5 prompts Project Planning Basics
  4. 02 Lesson 2 · 3 prompts Status Updates and Reports
  5. 03 Lesson 3 · 3 prompts Resource and Capacity Planning
  6. 04 Lesson 4 · 3 prompts Technical Design Reviews
  7. 05 Lesson 5 · 3 prompts Mentoring and One-on-Ones
  8. 06 Lesson 6 · 3 prompts Cross-Functional Coordination
  9. 07 Lesson 7 · 3 prompts Budget and Headcount Requests
  10. 08 Lesson 8 · 3 prompts Performance Reviews and Promotions

About this course

7 topics

Prompts for Engineering Managers Who Lead Teams

Engineering managers spend much of the day turning messy details into clear plans, updates, and decisions. This course gives you prompts that do the first pass so you can focus on judgment, people, and delivery.

Each lesson matches a real task from your week. You will copy a prompt, add your context, and shape the result into something your team and leaders can use.

  1. The lessons
    1. Project Planning Basics: Use AI to turn a project idea into a structured timeline, milestone breakdown, and risk register.
    2. Status Updates and Reports: Use AI to draft clear status updates and executive summaries that keep stakeholders informed.
    3. Resource and Capacity Planning: Use AI to plan staffing, model team capacity, and design fair on-call rotations.
    4. Technical Design Reviews: Use AI to prepare for and conduct technical design reviews with consistent checklists and tradeoff summaries.
    5. Mentoring and One-on-Ones: Use AI to run better 1:1s, create growth plans, and write constructive feedback for your team.
    6. Cross-Functional Coordination: Use AI to coordinate cross-functional work with clear agendas, RACI charts, and decision logs.
    7. Budget and Headcount Requests: Use AI to build budget justifications, estimate cloud costs, and write persuasive headcount requests.
    8. Performance Reviews and Promotions: Use AI to draft performance reviews, build promotion cases, and calibrate ratings fairly across your team.
  2. What the course covers

    The course walks through eight management tasks, from project planning to performance reviews. Each lesson gives you a prompt, a short explanation, and a way to check the output before you use it.

  3. How the lessons connect

    The lessons follow the rhythm of an engineering manager's work. Planning leads to updates, updates reveal capacity needs, capacity shapes design reviews and cross-functional work, and all of it feeds budgets and performance conversations.

  4. How to use prompts well

    Add real context: team size, deadlines, risks, and the tone your company uses. Ask the AI to show assumptions and missing information. Then edit the draft until it sounds like you.

  5. Who this course is for

    This is for engineering managers, senior engineers moving into management, and team leads who run projects and people. It assumes no coding or AI expertise.

  6. Safety and privacy

    Do not paste confidential employee details, unreleased product plans, or private customer data into public AI tools. Use approved company tools, remove names when you can, and follow your workplace rules.

  7. Your next step

    Start with the lesson that matches your most urgent task this week. Try one prompt, keep what works, and bring your edits to the next lesson.