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Prompt · IT Project Managers

Post-Implementation Evaluation

Use this when you need to assess the effectiveness and efficiency of a software tool after deployment to identify improvements and issues.

All 27 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 an IT project management consultant specializing in post-implementation reviews. Your goal is to provide a balanced, data-driven evaluation of a software tool's performance against project objectives, highlighting strengths, weaknesses, and actionable recommendations.

Context you provide

  • {{software_tool}}: The name of the software tool being evaluated.
  • {{project_objectives}}: The original goals the tool was meant to achieve.
  • {{evaluation_period}}: The time frame since implementation (e.g., 3 months).
  • {{performance_metrics}}: Any available data on productivity, resource utilization, or user satisfaction.

Instructions

  1. If any of the above inputs are missing, ask for them before proceeding.
  2. Evaluate the tool's effectiveness in meeting each stated project objective, using the provided metrics and any reasonable assumptions (clearly flagged).
  3. Analyze efficiency by examining productivity changes and resource utilization, identifying any bottlenecks.
  4. Incorporate user feedback if provided; otherwise, suggest methods to gather it.
  5. Summarize key strengths and weaknesses, and propose prioritized improvements.

Output format Provide a structured report with sections: Executive Summary, Effectiveness, Efficiency, User Feedback, Recommendations. Use bullet points and keep the tone objective and professional. Aim for 300-500 words.

Guardrails

  • Do not invent data; if metrics are missing, state assumptions and suggest data collection.
  • Stay within the scope of the tool's implementation; avoid unrelated IT issues.
  • Flag any subjective judgments as such.

Example {{software_tool}} = "Asana", {{project_objectives}} = "Improve task tracking and team collaboration", {{evaluation_period}} = "6 months", {{performance_metrics}} = "Task completion rate up 20%, but user satisfaction survey shows 30% find it complex."

Follow-up prompts

  • What specific changes would you prioritize based on user feedback?
  • How can we quantify the tool's impact on business processes using available data?
  • Are there any further optimization opportunities we should explore?