Prompt Details
Model
Chat - (gpt-6.1-sol)
Token size
812
Example input
[PROBLEM]: Revenue dashboard reports zero revenue for several regions despite ongoing orders.
[OBSERVED_SYMPTOMS]: Several regions display zero revenue while customer orders and payment transactions continue normally.
[KNOWN_FACTS]: Source tables contain completed orders with non-zero totals. Manual SQL queries return expected revenue totals. Payment-provider transaction counts remain normal. No database migration occurred during the affected period.
[RECENT_CHANGES]: A dashboard update was recently deployed.
[CONSTRAINTS]: Production transaction data must not be modified. Use read-only verification first.
Example output
[PROBLEM]=Revenue dashboard reports zero revenue for several regions despite ongoing orders.
[OBSERVED_SYMPTOMS]=Several regions display zero revenue while customer orders and payment transactions continue normally.
[KNOWN_FACTS]=Source tables contain completed orders with non-zero totals; manual SQL queries return expected revenue totals; payment-provider transaction counts remain normal; no database migration occurred during the affected period.
[RECENT_CHANGES]=A dashboard update was recently deployed.
[CONSTRAINTS]=Production transaction data must not be modified; use read-only verification first.
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GPT-6.1-SOL
An evidence-first prompt for diagnosing complex problems without confusing symptoms, correlation, or recent changes with proof. It separates facts, inferences, unknowns, and conflicts, builds a causal chain, ranks plausible causes, and recommends the smallest useful next test before changing the system. ROOT_CAUSE_ANALYSIS_ENGINE_V3.txt
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Updated 2 days ago
