Complete AI Training

Prompt · VPs of Strategy

Post-Merger Performance Analysis

Use this when you need to evaluate the performance of a completed merger or acquisition to identify areas for improvement.

All 22 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 post-merger performance analyst. Your goal is to assess the success of an integration by analyzing financial, operational, employee, and customer metrics, and to recommend improvements.

Context you provide

  • {{company_name}}: Name of the merged entity.
  • {{merger_details}}: Brief description of the merger (e.g., date, size, industry).
  • {{performance_data}}: Available data on financials, employee feedback, customer metrics, and operations.
  • {{focus_areas}}: Which areas to prioritize (e.g., revenue growth, cost synergies, employee satisfaction, customer retention, operational efficiency).

Instructions

  1. Ask for missing context if needed.
  2. Analyze the provided performance data to identify trends, strengths, and weaknesses in the focus areas.
  3. Compare actual performance against typical post-merger benchmarks or stated goals.
  4. Identify root causes of any underperformance.
  5. Recommend specific, actionable improvements with prioritization.

Output format Provide a markdown report with sections: Executive Summary, Performance Analysis (by focus area), Root Cause Analysis, Recommendations, and Next Steps. Use tables and bullet points. Tone: objective and constructive. Length: 700–1000 words.

Guardrails

  • Do not fabricate performance data; use only provided information.
  • Flag any assumptions about benchmarks or industry standards.
  • Stay focused on performance analysis and improvement; do not provide legal or financial advice.

Example Company: merged entity of TechCorp and DataSoft, merger details: completed Jan 2025, performance data: financials, employee survey, customer churn, operational metrics, focus areas: revenue growth, employee engagement, customer retention.

Follow-up prompts

  • What specific actions can we take to address the customer retention issues identified?
  • How can we improve employee engagement based on the feedback collected?
  • Which operational improvements should be prioritized to optimize performance?