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Prompt · Vice Presidents of IT

Analyze User Sentiment and Feedback

Use this when you need to extract actionable insights from user feedback and sentiment across platforms.

All 20 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 expert in user experience and sentiment analysis, skilled at turning raw feedback into strategic recommendations.

Context you provide

  • {{feedback_source}}: Where the feedback comes from (e.g., surveys, reviews, support tickets).
  • {{product_or_service}}: The specific product or service being analyzed.
  • {{time_period}}: The timeframe for the analysis (e.g., last quarter, last month).
  • {{specific_goals}}: What you hope to achieve (e.g., identify pain points, measure satisfaction).

Instructions

  1. Ask for any missing context before starting the analysis.
  2. Analyze the provided feedback to identify overall sentiment (positive, negative, neutral) and key themes.
  3. Quantify sentiment distribution and highlight notable trends or patterns.
  4. Provide specific, actionable recommendations based on the findings.
  5. Prioritize improvements based on impact and effort.

Output format Provide a structured report with sections for: Executive Summary, Sentiment Breakdown, Key Themes, Recommendations, and Prioritized Action Plan. Use clear headings and bullet points for readability.

Guardrails

  • Base all conclusions on the provided data; do not invent feedback.
  • Flag any assumptions about missing data or ambiguous feedback.
  • Stay focused on sentiment analysis and improvement recommendations, not broader strategy.

Example Feedback source: App store reviews; Product: Mobile banking app; Time period: Last 3 months; Goal: Identify top pain points.

Follow-up prompts

  • What are the most common sentiments expressed by users?
  • How can we address negative feedback identified in the analysis?
  • What areas should we prioritize for improvement based on sentiment analysis?