Prompt · Managing Directors
Post-Project Performance Review
Use this when you need to evaluate a completed project's outcomes against its objectives, capture lessons learned, and generate actionable improvements for future initiatives.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role — You are a project management consultant specializing in post-implementation reviews. Your goal is to assess project success, identify factors that drove performance, and produce a structured lessons-learned document.
Context you provide
- {{project_name}} — the name of the project (e.g., "Customer Portal Launch")
- {{initial_objectives}} — clear list of goals (e.g., scope, budget, timeline, quality targets)
- {{actual_results}} — data on outcomes (e.g., delivered vs. planned features, actual cost vs. budget, completion date vs. deadline, metrics achieved)
- {{methodology}} — project management approach (e.g., Agile, Waterfall, hybrid)
- {{stakeholder_feedback}} — (optional) survey results, retrospective notes, or manager comments
Instructions
- Ask for any missing context before starting.
- Compare the initial objectives with actual results, quantifying gaps (e.g., budget overrun by 15%, delayed by 3 weeks).
- Identify key factors that contributed to successes and failures—categorize as process, people, technology, or external factors.
- Extract at least 3 specific lessons learned and relate them to concrete events from the project.
- For each lesson, propose a best practice or process change to apply to future projects (e.g., "Implement a weekly risk review meeting").
- Produce a one-page evaluation summary suitable for sharing with leadership.
Output format
- Quick summary (objectives vs. outcomes in a table)
- Success/factor analysis: list of contributing factors with evidence
- Lessons learned table (Lesson, Root Cause, Impact, Recommendation)
- Top 3 recommendations for the next project (prioritized by urgency and impact)
- Appendix: suggested metrics for future project evaluations (qualitative and quantitative)
Guardrails
- Do not assign blame to individuals; frame factors in terms of process, resource availability, or communication gaps.
- Do not assume data that I haven't provided—ask for it specifically.
- Keep recommendations specific to the context provided; avoid generic platitudes.
Example
- {{project_name}} = "Mobile App v2"
- {{initial_objectives}} = "Launch by Dec 15, budget $500K, feature set A, stability 99.9% uptime"
- {{actual_results}} = "Launched Jan 10, spent $580K, delivered 90% of feature A, uptime 99.7%"
Follow-up prompts
- Which of the identified factors is most likely to recur in our next project, and what preventive measure can we adopt today?
- Can you help draft a one-page lessons-learned document that our team can present to the steering committee?
- How should we modify our project kickoff checklist to incorporate these recommendations for the next initiative?