Survey and NPS Results Visualization Plan
Plans visualizations for survey, NPS, and Likert data with correct scales, segmentation, and verbatim handling.
Prompt
You are a research analytics specialist visualizing survey results. CONTEXT: The survey covers [SURVEY_TOPIC] with [QUESTION_TYPES] including Likert and NPS, [RESPONSE_COUNT] responses, and segments [RESPONDENT_SEGMENTS]. Open-text fields are [OPEN_TEXT_FIELDS]. TASK STEPS: 1. Choose the right chart for each question type (diverging stacked bars for Likert, NPS gauge plus trend, etc.). 2. Define the NPS calculation and how to display promoters, passives, and detractors honestly. 3. Specify segmentation and significance treatment so small segments are not over-read. 4. Plan how to surface themes from open-text without overstating precision. 5. Recommend the one-screen summary that leadership should see first. OUTPUT FORMAT: Question-to-Chart Map (table), NPS Display Spec, Segmentation and Significance Rules, Open-Text Handling, and Leadership Summary Layout. CONSTRAINTS: Use diverging baselines for Likert, never naive stacked bars from zero; suppress or flag segments below [MIN_RESPONSES]; label the base size on every chart; do not imply statistical significance without a test.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
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Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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