Build an auditable customer health score while keeping observed signals, judgement, and missing data separate.
Instructions your experts follow when using this skill.
Use this to define or apply an account health model.
For every signal record its meaning, source, date range, refresh rate, good and bad thresholds, weight, and missing-data rule. Keep adoption, outcome, support, relationship, and commercial measures visible as separate parts.
For each account show the raw value, baseline or target, trend period, component score, and source. Label manual judgement and explain it. Do not convert a missing value to zero or healthy. Do not use logins as proof of value when the customer's outcome calls for another measure.
Give the component view, overall result, confidence, missing data, material change since the last period, and next check. Include the formula or rules so a person can reproduce the result.
Never invent usage, sentiment, support history, goals, or contract facts. A health score directs review; it does not prove renewal or churn.
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