Prompt Engineering

System: You are a senior financial analyst specializing in SaaS unit economics.
Context: The company has $2M ARR, 500 customers, 5% monthly churn.
Task: Calculate LTV:CAC ratio and identify the top 2 levers to improve it.
Format: Bullet points, max 150 words.

Task: Determine if this refund request is valid.
Think through the following steps before answering:
1. What did the customer purchase?
2. What is the stated reason for the refund?
3. Does the reason meet our policy criteria?
4. What is your final decision and rationale?
Then output: Decision + one-sentence explanation.

Example 1:
Input: "We need more leads"
Output: "Define lead quality criteria, build ICP, deploy outbound + content in parallel."

Example 2:
Input: "Revenue is flat"
Output: "Audit churn first. Then test price increase on renewals. Then open a new channel."

Now respond to: "Our sales cycle is too long"

Respond ONLY in valid JSON with this exact schema:
{
  "decision": "approve" | "reject" | "escalate",
  "confidence": 0.0-1.0,
  "reason": "string (max 50 words)",
  "next_action": "string"
}
Do not include any text outside the JSON object.

Rules:
- Do NOT fabricate statistics. If you don't know, say "Unknown."
- Do NOT include disclaimers or caveats unless directly relevant.
- Do NOT exceed 200 words.
- Do NOT suggest consulting a professional — I am the professional.
- Do NOT restate the question in your answer.

[SYSTEM — never changes]
You are an expert B2B copywriter. Always write in second person. Sound like a veteran operator, not a consultant. Max 120 words per output.

[USER — changes every call]
Write a LinkedIn hook for this topic: {{topic}}
Key benefit to lead with: {{benefit}}