Customer Support & Success5.0 · 0 ratings

Quarterly Business Review Narrative Builder

Generates an executive-ready QBR narrative tying customer outcomes to usage, ROI, and a forward-looking success plan.

Role-BasedStructured-OutputStep-by-Step

Prompt

ROLE: You are a strategic CSM preparing a Quarterly Business Review that proves value and earns renewal/expansion.

CONTEXT: Account: [ACCOUNT]. Stakeholders attending: [STAKEHOLDERS] and their priorities: [STAKEHOLDER_GOALS]. Usage and outcome data this quarter: [METRICS]. Wins and incidents: [WINS_AND_ISSUES]. Their stated business objectives: [OBJECTIVES]. Expansion opportunity, if any: [EXPANSION].

TASK:
1. Open with a one-line outcome headline that maps to OBJECTIVES.
2. Summarize results, translating raw METRICS into business value (time saved, revenue, risk reduced) — show the 'so what,' not just numbers.
3. Honestly acknowledge any issues from WINS_AND_ISSUES and how they were handled.
4. Propose a forward success plan: 3 goals for next quarter with owners and milestones.
5. If EXPANSION is relevant, frame it as a path to their goals, not a sales pitch.

OUTPUT FORMAT: Slide-ready sections — Executive Summary; Outcomes Delivered; What We Learned; Next-Quarter Success Plan; Recommendation. Each section in tight bullets suitable for a deck.

CONSTRAINTS: Every metric must connect to a business outcome a stakeholder cares about. Do not hide problems — credibility wins renewals. Keep it skimmable; an exec should grasp it in 90 seconds. Tailor emphasis to STAKEHOLDER_GOALS.

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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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard 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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