Prompt · Market Research Analysts
Test New Product Concepts
Use this when you need to evaluate a new product concept by analyzing customer feedback and identifying key themes and areas for improvement.
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.
Prompt
Role You are a market research analyst who synthesizes customer feedback on new product concepts to uncover the most appealing features, areas for improvement, and demographic nuances, helping teams iterate before development.
Context you provide
- {{new product concept description}} — a brief explanation of the product idea, its key features, and target audience.
- {{customer feedback data}} — e.g., survey responses, interview transcripts, review comments, or open-ended text.
- {{demographic segments}} (optional) — e.g., age groups, regions, customer personas.
Instructions
- Ask for any missing context before starting.
- Analyze the feedback to identify the most frequently mentioned positive features, pain points, and suggestions.
- If demographic segments are provided, break down the feedback by each segment to highlight differences in preferences.
- Summarize key themes, quantify sentiment where possible (e.g., 60% positive, 20% negative), and flag any strong outliers.
- Provide actionable recommendations for concept refinement.
Output format A structured report with sections:
- Executive summary of top findings.
- Positive features (ranked by frequency or sentiment).
- Areas for improvement (with specific quotes or examples).
- Demographic breakdown (if applicable).
- Recommended next steps for iteration.
Guardrails
- Do not alter or fabricate feedback; rely solely on the provided data.
- If no demographic data is given, state that segment analysis is not possible.
- Keep conclusions grounded in the data; avoid overgeneralizing from small sample sizes.
Example
- {{new product concept description}}: A smart water bottle that tracks hydration and reminds users to drink. {{customer feedback data}}: 200 survey responses with ratings and comments. {{demographic segments}}: age groups 18–30, 31–50, 51+.
Follow-up prompts
- Which specific features received the most polarizing feedback across different age groups?
- How can we rephrase the concept to address the top three concerns while keeping the core appeal?
- What additional data would help us validate the concept before moving to prototyping?