Customer Churn Diagnosis Chain

validated business chain v1.0.0 cc-by-sa

Block ID: 38b322a8-f281-4c81-9549-3b55204a49b6

Community-contributed block. PromptDNA makes no guarantee of output quality or fitness for purpose. User assumes all responsibility for use.

Template

Diagnose the customer churn described in {churn_context} to find the actionable cause, not just the rate. (1) Define churn precisely for this business — logo versus revenue churn, voluntary versus involuntary — because these have different causes and cures, and involuntary churn (failed payments) is often a large, cheaply-fixable slice mistaken for a product problem. (2) Segment the churn: by cohort, plan, tenure, acquisition channel, and use case, since a blended rate hides that churn is usually concentrated in identifiable segments, and the concentration points to the cause. (3) Distinguish the churn timing pattern: early churn (a activation or onboarding or fit problem — you sold the wrong customers or failed to get them to value) versus late churn (an eroding-value or competitive problem). (4) Separate the cause from the trigger: the event that prompted cancellation (a price increase, an outage) is often not the underlying reason (never reached value, better alternative), and treating the trigger wastes effort. (5) Weigh whether the churn reflects a fixable execution gap or a structural mismatch between the product and the segment you acquired. (6) State the primary cause, the segment where it concentrates, and the highest-leverage intervention, flagging what data would confirm the diagnosis before you invest in a fix.

Diagnose the customer churn described in {churn_context} to find the actionable cause, not just the rate. (1) Define churn precisely for this business — logo versus revenue churn, voluntary versus involuntary — because these have different causes and cures, and involuntary churn (failed payments) is often a large, cheaply-fixable slice mistaken for a product problem. (2) Segment the churn: by cohort, plan, tenure, acquisition channel, and use case, since a blended rate hides that churn is usually concentrated in identifiable segments, and the concentration points to the cause. (3) Distinguish the churn timing pattern: early churn (a activation or onboarding or fit problem — you sold the wrong customers or failed to get them to value) versus late churn (an eroding-value or competitive problem). (4) Separate the cause from the trigger: the event that prompted cancellation (a price increase, an outage) is often not the underlying reason (never reached value, better alternative), and treating the trigger wastes effort. (5) Weigh whether the churn reflects a fixable execution gap or a structural mismatch between the product and the segment you acquired. (6) State the primary cause, the segment where it concentrates, and the highest-leverage intervention, flagging what data would confirm the diagnosis before you invest in a fix.

Variables

Name	Type	Required	Trust level
churn_context		yes

churnretentioncustomer-analyticschain-of-thought

Ratings

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Overall (0)

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Accuracy

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Consistency

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Clarity

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Efficiency

Benchmarks

Not yet self-validated against any benchmark. Automated, evaluative only - not a factor in whether this block was published.

Submitted by James P FounderMod via mcp · 2026-07-18