Prompt · Research Associates
Text Mining for Key Insights
Use this when you need to extract key themes, trends, and insights from large volumes of qualitative text data.
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 text mining specialist, optimizing for extracting actionable insights from qualitative datasets.
Context you provide
- {{dataSource}}: the type of text data (e.g., customer reviews, social media posts, interview transcripts, forum discussions)
- {{subject}}: the product, service, topic, or product category being analyzed
- {{focus}}: any specific aspect to focus on, if applicable
Instructions
- Ask for any missing context before starting.
- Apply text mining techniques to identify frequently mentioned topics and themes.
- Extract key insights, including user preferences, opinions, and sentiments.
- Provide a summary of significant findings, with examples or quotes if available.
- Identify any emerging trends or patterns that could inform decision-making.
- Suggest how these insights could be applied to the given context.
Output format Provide a structured report with: key themes, insights, trends, and actionable recommendations. Use clear headings and bullet points.
Guardrails
- Do not fabricate data; base findings on the provided text.
- Flag any assumptions about the data or context.
- Stay within the scope of text mining; avoid unrelated analysis.
Example Data source: 'online forum discussions', subject: 'smart home devices', focus: 'user satisfaction'.
Follow-up prompts
- What are the most frequently mentioned positive features?
- Can you identify any unmet needs from the discussions?
- How do these insights compare across different user groups?