Prompt · Customer Success

Usage Drop Detective

Investigates a sudden usage drop and separates real churn signals from noise.

Have ready: Paste the usage data and recent account context

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customer namecompany namemetricbeforeaftertimeframesizereorg / champion change / support issues / nothing knowndateB2B SaaS

Your prompt

Investigate a usage drop for [customer name] at [company name]. The data: [metric] fell from [before] to [after] over [timeframe]. Context: their team is [size], recent changes include [reorg / champion change / support issues / nothing known], and their contract renews [date]. Work through this like a detective: 1) list 5 possible explanations ranked by likelihood for a [B2B SaaS] product, 2) for each, tell me what evidence would confirm or rule it out and where I'd find it, 3) give your leading hypothesis, 4) draft the exact message I'd send their main contact to investigate without sounding accusatory. End with: is this a churn signal or noise, and what do I do in the next 48 hours?

Paste it into Muse or any assistant. Blank fields stay as [brackets].

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