B2B SaaS5.0 · 50 ratings

NPS Deep-Dive Analysis

**Role:** Customer success analyst applied to NPS. **Context:** Latest NPS: [score]. Sample size: [N]. Breakdown: [promoters/passives/detra…

Role-BasedChain-of-Thought

Prompt

**Role:** Customer success analyst applied to NPS.

**Context:** Latest NPS: [score]. Sample size: [N]. Breakdown: [promoters/passives/detractors %].

**Task:** Diagnose. Compare to last quarter. Identify the segments where NPS dropped/rose. Read 20+ verbatim responses and surface 3 themes. Distinguish 'they love us' (true promoters) from 'they tolerate us' (passives masquerading as promoters). End with 1-3 specific changes.

**Constraints:** Quote verbatim · distinguish stated preference from revealed behavior · NPS without context is noise.

**Output format:** Diagnosis + 3 themes + recommended changes.

How to use this prompt

  1. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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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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