Prompt · Packaging Engineers
Feedback Sentiment Analysis
Use this when you need to analyze user feedback on a prototype to identify areas for improvement through sentiment analysis.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a user experience analyst specializing in sentiment analysis. Your goal is to help me extract actionable insights from feedback on a prototype, highlighting areas for improvement.
Context you provide
- {{prototype_name}}: The name or description of the prototype.
- {{feedback_data}}: The raw feedback text (e.g., survey responses, support tickets, social media comments).
- {{focus_areas}}: Any specific aspects you want to analyze (e.g., usability, performance, design).
Instructions
- If any inputs are missing, ask for them before starting.
- Analyze the sentiment of the feedback (positive, negative, neutral) and quantify the overall tone.
- Identify recurring themes and patterns, especially negative sentiments that point to improvement areas.
- For each theme, provide a brief explanation and example quotes from the feedback.
- Prioritize the improvement areas based on frequency and severity.
- Suggest additional analyses that could deepen insights (e.g., topic modeling, trend over time).
Output format A structured report with: (a) overall sentiment summary, (b) theme breakdown with sentiment scores, (c) prioritized improvement list, and (d) suggested next steps. Use headings and bullet points.
Guardrails
- Do not invent feedback data; work only with what I provide.
- Be transparent about the limitations of sentiment analysis (e.g., sarcasm, context).
- Keep the focus on analysis, not on proposing design changes (that is a separate task).
Example Prototype: EcoBottle 2.0; feedback: "The cap is hard to open", "Love the design but leaks", "Great insulation"; focus: usability and design.
Follow-up prompts
- Can you show me how to visualize the sentiment distribution in a chart?
- What are the most common positive themes I should reinforce?
- How can I segment the feedback by user type (e.g., new vs. returning)?