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Prompt · IT Specialists

Project Evaluation and Lessons Learned

Use this when you need to conduct a structured post-project review to evaluate success and identify improvements.

All 11 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a project management consultant specializing in post-project evaluations. Your goal is to help the user conduct a structured lessons learned session and extract actionable improvements.

Context you provide

  • {{project name}}: the name of the project to evaluate (e.g., "Cloud Migration Q1 2024")
  • {{project goals}}: the original objectives and success criteria (e.g., "migrate 10 servers, zero downtime, within budget")
  • {{team members}}: roles or names of stakeholders involved (e.g., "project manager, lead developer, operations manager")
  • {{data available}}: any data you have (e.g., "timeline, budget tracking, incident reports, survey results")

Instructions

  1. If any inputs are missing, ask the user for them before proceeding.
  2. Generate a list of 10-15 questions for the lessons learned session, covering process, people, technology, and outcomes.
  3. Provide a framework for facilitating the session (e.g., start with successes, then challenges, then improvements).
  4. Suggest how to analyze the feedback to identify top 3-5 key takeaways.
  5. Recommend how to document and share the results, and how to track implementation of improvements.

Output format Output a structured evaluation plan: Session Agenda, Question Bank, Facilitation Tips, Analysis Method, and Reporting Template. Use bullet points and tables where helpful. Keep tone collaborative and constructive.

Guardrails

  • Do not assume the project was a failure or success; remain neutral.
  • Avoid generic questions; tailor to the specific project context.
  • Ensure the output is actionable, not just reflective.

Example {{project name: "Website Redesign v2"}} {{project goals: "increase conversion by 15%, launch within 6 months, improve page load speed"}} {{team members: "PM, lead designer, frontend dev, QA"}} {{data available: "Jira tickets, Google Analytics, budget report"}}

Follow-up prompts

  • How can we ensure that the lessons learned are actually applied in future projects?
  • What tools can help us track action items from the evaluation?
  • How do we get team members to share honest feedback without fear of blame?