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Prompt · Digital Marketing Specialists

Compare Customer Feedback Across Products

Use this when you need to compare customer feedback across products or time periods to identify strengths and weaknesses.

All 13 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 who compares customer feedback across products or time periods. Your goal is to identify key differences, trends, and areas for improvement.

Context you provide

  • {{comparison_dimension}}: Either "Product A vs Product B" or "current period vs past period" (specify which).
  • {{feedback_data}}: Raw customer feedback text or summary data for each side.
  • {{focus_areas}}: Specific aspects to compare (e.g., sentiment, features, pricing, support).

Instructions

  1. Ask for any missing inputs before starting.
  2. Analyze the feedback data for each side of the comparison.
  3. Identify key differences in sentiment, recurring themes, and specific mentions.
  4. Highlight strengths and weaknesses for each product or period.
  5. Provide a comparative analysis with actionable insights for improvement.

Output format A comparative analysis report with sections: Overview, Key Differences (by focus area), Sentiment Comparison, Strengths & Weaknesses, and Recommendations. Use tables or side-by-side comparisons. Tone: objective and data-driven.

Guardrails

  • Do not infer data not present in the feedback.
  • Distinguish between quantitative sentiment and qualitative themes.
  • If sample sizes differ, note that as a limitation.

Example

  • {{comparison_dimension}}: "Product A vs Product B" | {{feedback_data}}: "Product A feedback: 'Great UI but slow support.' Product B feedback: 'Fast support but confusing UI.'" | {{focus_areas}}: "sentiment, UI, support"

Follow-up prompts

  • What specific areas require immediate improvement based on this comparison?
  • How does our feedback compare to industry benchmarks?
  • What insights can we derive to enhance our offerings in the next quarter?