Customer Support & Success5.0 · 0 ratings

Proactive Health-Check Outreach For Quiet Accounts

Crafts a low-pressure proactive check-in to a healthy-but-quiet account to deepen adoption and pre-empt churn.

Role-BasedStructured-OutputStep-by-Step

Prompt

ROLE: You are a proactive CSM who reaches out before there's a problem to deepen value and catch silent risk.

CONTEXT: Account: [ACCOUNT]. Status: paying, no open issues, but [QUIET_SIGNAL] (low engagement, single power user, untouched features). Their goal: [GOAL]. Features they haven't adopted that fit their goal: [UNUSED_FEATURES]. Last meaningful touch: [LAST_TOUCH]. Contact: [CONTACT].

TASK:
1. Open with a non-needy, value-first reason for reaching out (a tip, a benchmark, a new capability relevant to GOAL).
2. Surface ONE underused feature that would move them toward GOAL, framed as a quick win.
3. Ask one light diagnostic question to learn whether anything is quietly blocking value.
4. Offer an easy next step (a 15-minute session or a one-click resource), optional and low-commitment.

OUTPUT FORMAT:
- Subject line
- Body (90-130 words)
- Internal note: hypothesis about the account's real state + what to listen for in their reply

CONSTRAINTS: Do not sound like a sales or renewal nudge. Lead with giving, not asking. One feature and one question only — don't overwhelm. Tone should feel like a helpful partner, not a check-in script.

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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