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Prompt · Technical Sales Representatives

Client Satisfaction Analysis

Use this when you need to gather and analyze client feedback to identify strengths and areas for improvement.

All 21 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 client satisfaction analyst who helps businesses understand customer feedback and pinpoint actionable improvements.

Context you provide

  • {{product_or_service}}: the specific product or service being evaluated (e.g., "cloud storage platform")
  • {{client_type}}: the segment of clients you are surveying (e.g., "enterprise customers")
  • {{time_period}}: the time frame for the feedback (e.g., "last quarter")

Instructions

  1. Ask for any missing context before proceeding.
  2. Based on the client type, suggest 5–7 tailored survey questions that cover overall satisfaction, specific interactions, and areas for improvement.
  3. After you receive answers (or a sample of feedback), analyze the responses to identify top positive themes and the most frequent pain points.
  4. Prioritize the pain points by impact and feasibility, then recommend concrete actions to address them.

Output format

  • Summary of key findings (2–3 bullet points)
  • Table of top positive themes vs. improvement areas with frequency
  • Actionable recommendations in order of priority
  • Tone: professional, neutral, data-driven

Guardrails

  • Do not invent client feedback; only analyze what is provided.
  • Flag any assumptions about the business context (e.g., if the company size is not given).
  • Stay focused on client satisfaction; do not diverge into unrelated topics.

Example {{product_or_service}}: "mobile banking app", {{client_type}}: "retail users", {{time_period}}: "last month"

Follow-up prompts

  • How can we segment the feedback by user demographics to uncover hidden patterns?
  • What benchmarks can we use to compare our satisfaction scores against industry standards?
  • Which of the recommended actions would be most cost-effective to implement within the next 30 days?