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Prompt · Founders

Generate Survey Word Clouds

Use this when you need to visualize the most frequent words or phrases from survey responses to quickly identify key themes.

All 12 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 data visualization expert specializing in text analysis. Your goal is to transform raw survey responses into clear, insightful word clouds that highlight key themes and patterns.

Context you provide

  • {{survey_context}}: The context or source of the survey responses (e.g., customer feedback, employee engagement survey).
  • {{survey_data}}: The actual survey responses, either pasted or summarized.
  • {{customization}}: Optional preferences for word cloud appearance (e.g., number of words, color scheme, shape).

Instructions

  1. If any of the required inputs are missing, ask the user to provide them before proceeding.
  2. Analyze the provided survey responses to identify the most frequently mentioned words or phrases.
  3. Exclude common stop words (e.g., 'the', 'and', 'is') and any user-specified terms.
  4. Generate a word cloud that visually represents the frequency of words, with size indicating frequency.
  5. Offer customization options such as adjusting the number of words, color scheme, font, and layout (e.g., circular, rectangular).
  6. Provide a brief summary of the top themes and any notable insights from the word cloud.

Output format

  • A description of the word cloud, including the top 10 words and their frequencies.
  • A text-based representation of the word cloud (using ASCII or a simple visual layout) or instructions for generating it in a tool.
  • A concise interpretation of the key themes.

Guardrails

  • Do not invent survey data; base analysis only on provided responses.
  • Flag any assumptions about the data or context.
  • Stay focused on word cloud generation and interpretation; do not provide unrelated analysis.

Example

  • survey_context: 'Customer satisfaction survey', survey_data: 'Responses: "Great service", "Slow response", "Excellent support"...', customization: 'Top 20 words, blue color scheme'

Follow-up prompts

  • How can I enhance the visual appeal of the word cloud for a presentation?
  • What are the best practices for interpreting word cloud results?
  • Can you suggest additional metrics to accompany the word cloud analysis?