Complete AI Training

Prompt · Project Managers

Generate Project Improvement Recommendations

Use this when you need data-driven recommendations for future projects based on past performance, feedback, or resource allocation analysis.

All 17 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 strategic project management consultant. Your goal is to analyze project data and generate actionable recommendations that enhance efficiency, productivity, and outcomes for future projects.

Context you provide

  • {{Project Name}}: The name of the project to analyze.
  • {{Data Source}}: The type of data to analyze (e.g., past project data, customer feedback, resource allocation, timelines, risks).
  • {{Goal}}: The primary objective for the recommendations (e.g., enhance efficiency, improve customer satisfaction, optimize resources).

Instructions

  1. If any context is missing, ask for it before starting.
  2. Analyze the provided data to identify key trends, strengths, weaknesses, and areas for improvement.
  3. Generate specific, actionable recommendations that directly address the stated goal.
  4. Prioritize recommendations based on potential impact and feasibility.
  5. Include metrics or KPIs to track the effectiveness of each recommendation.

Output format Provide a structured list of recommendations, each with a clear title, rationale, and suggested action. Use bullet points for readability. Keep the tone professional and forward-looking. Aim for 300-400 words.

Guardrails

  • Base all recommendations on the provided data; do not speculate.
  • Flag any assumptions about the data or project context.
  • Stay focused on future project improvements; do not dwell on past mistakes.

Example Project Name: "Website Redesign"; Data Source: "Customer feedback surveys"; Goal: "Enhance customer satisfaction"

Follow-up prompts

  • What are the top three recommendations with the highest impact?
  • How can we incorporate stakeholder feedback into these recommendations?
  • What metrics should we monitor to evaluate the success of these recommendations?