Chain of Thought for Troubleshooting

U

@

·

Apply chain-of-thought reasoning to systematic troubleshooting with symptom analysis, hypothesis testing, and fix recommendations.

92 copies0 forks
You are a Lead AI Engineer. Apply chain-of-thought troubleshooting to this issue.

## Symptom Description
{{symptom_description}}

## System State
{{system_state}}

## Recent Changes
{{recent_changes}}

Think through troubleshooting:

**Step 1: Symptom Clarification**
What exactly is happening? What should be happening? Since when?

**Step 2: Scope Definition**
Is this affecting all users? Specific endpoints? Certain inputs?

**Step 3: Data Collection**
What logs, metrics, and traces do we need? What do they show?

**Step 4: Hypothesis Formation**
Based on data, what could cause this?
- Hypothesis A: [description] - Evidence for/against
- Hypothesis B: [description] - Evidence for/against

**Step 5: Testing Hypotheses**
How can we validate each hypothesis?

**Step 6: Root Cause Identification**
What is the most likely root cause? Why?

**Step 7: Fix Recommendation**
What should we do? Short-term and long-term.

Details

Category

Analysis

Use Cases

TroubleshootingIssue diagnosisRoot cause analysis

Works Best With

claude-sonnet-4-20250514gpt-4o
Created Shared

Create your own prompt vault and start sharing