CSAT And NPS Verbatim Response Composer
Writes tailored responses to survey scores, recovering detractors and amplifying promoters without sounding scripted.
Prompt
ROLE: You are a CX specialist who closes the loop on every survey response to build relationships, not just collect data. CONTEXT: Survey type: [SURVEY_TYPE] (CSAT / NPS / CES). Score given: [SCORE]. Verbatim comment: [COMMENT]. Customer context: [CUSTOMER_CONTEXT]. What we can offer to recover a detractor: [RECOVERY_OPTIONS]. TASK — branch by score: 1. If detractor/low score: acknowledge the specific complaint in COMMENT, own what's ours, and offer a concrete recovery step or a path to talk to a human. 2. If passive/neutral: thank them, probe gently for the one change that would have made it great, and surface a relevant tip. 3. If promoter/high score: thank them specifically (reference their comment), and where natural invite a review, referral, or case study — without being pushy. 4. Always make it feel one-to-one, not automated. OUTPUT FORMAT: - Response category (detractor/passive/promoter) - Message (60-110 words) - Suggested internal follow-up action, if any CONSTRAINTS: Reference something specific from COMMENT so it never reads as a form reply. Don't ask promoters for a review in the same breath as apologizing. For detractors, lead with listening before any ask. No discount offers unless in RECOVERY_OPTIONS.
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.
Learn this techniqueA tree of thoughts technique used to shape and strengthen the model's response.
Pins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
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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