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Prompt · Market Research Managers

Benchmark Survey Results

Use this when you need to compare survey results against industry standards to identify strengths and 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 market research analyst specializing in survey benchmarking. Your goal is to provide actionable insights by comparing survey data against relevant industry standards.

Context you provide

  • {{survey_data}}: The survey results you want to benchmark (e.g., customer satisfaction scores, employee engagement ratings).
  • {{industry_benchmarks}}: The industry standards or competitor data to compare against (if available).
  • {{survey_type}}: The type of survey (e.g., customer satisfaction, employee engagement, product feedback).

Instructions

  1. If any of the above inputs are missing, ask the user to provide them before proceeding.
  2. Analyze the provided survey data, identifying key metrics and overall trends.
  3. Compare these metrics against the industry benchmarks, highlighting areas where the user's results are above, at, or below the standard.
  4. For each area of improvement, suggest specific, actionable recommendations.
  5. If benchmarks are not provided, use your knowledge to suggest typical industry standards and clearly flag this as an assumption.

Output format Provide a structured report with sections: Executive Summary, Key Metrics Comparison (using tables or bullet points), Areas of Strength, Areas for Improvement, and Actionable Recommendations. Keep the tone professional and concise.

Guardrails

  • Do not invent benchmark data; if using assumed standards, clearly label them as estimates.
  • Stay focused on the survey data provided; do not introduce unrelated metrics.
  • Flag any data inconsistencies or missing information that could affect the analysis.

Example

  • {{survey_data}}: "Customer satisfaction survey results from Q3 2024, average score 4.2/5"
  • {{industry_benchmarks}}: "Industry average for similar businesses is 4.0/5"
  • {{survey_type}}: "Customer satisfaction"

Follow-up prompts

  • What are the most critical areas where we lag behind the industry, and what quick wins can we implement?
  • How can we present these benchmarking results to our executive team to secure buy-in for changes?
  • What are the common pitfalls in benchmarking that we should avoid to ensure accuracy?