Turn usage, sentiment, and engagement signals into a health score with clear reasoning and recommended next actions.
Synthesize raw customer signals into a structured health score, explain the key drivers behind it, and surface prioritized actions for the account team.
Run weekly or before any customer QBR, renewal review, or escalation triage.
Analyze the customer signals below and extract all meaningful data points across usage, sentiment, and engagement: $customer_signals
Analyze the customer signals below and extract all meaningful data points across usage, sentiment, and engagement:
$customer_signalsScore each signal category — Usage, Sentiment, and Engagement — on a 1–5 scale. Justify each score with 1–2 specific observations drawn directly from the data.
Compute an overall health score (Red / Yellow / Green) by weighting the three category scores. Explain the weighting logic and identify the single biggest factor driving the overall rating up or down.
Identify the top 2–3 risks and the top 1–2 positive indicators for this account. Frame each risk with its potential business impact (e.g., churn, contraction, stalled expansion).
Generate 3–5 prioritized recommended actions for the account team, ordered by urgency. Each action should name who owns it (CSM, AE, Support, Product), a suggested timeline, and the expected outcome.
Write a 3–4 sentence executive summary suitable for pasting into a CRM note or sharing with a VP. It should state the health score, the main reason behind it, and the single most important action to take.
Structure the response in clearly labeled sections: (1) Signal Breakdown with category scores and rationale, (2) Overall Health Score with dominant driver, (3) Risks & Positive Indicators, (4) Recommended Actions as a prioritized numbered list with owner/timeline/outcome, and (5) Executive Summary as a short paragraph. Use bold section headers for easy scanning.
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