Task Success Metrics

Learn to define and measure what success means for your AI agents

Defining Success Criteria

Success looks different for different tasks. A research agent needs accuracy and completeness. A customer service agent needs speed and satisfaction. A code generation agent needs correctness and security. Start by understanding your task type, then define metrics that matter for that specific context.

Interactive: Task-Specific Metrics Explorer

Select a task type to see recommended success metrics:

Research Agent

Gathers and synthesizes information from multiple sources

Primary Metrics (Must Track):
Factual accuracy
Source credibility
Completeness
Secondary Metrics (Nice to Have):
Time to completion
Citation quality
Readability

Interactive: Custom Success Criteria Builder

Define your own success metrics with target thresholds:

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Start with 3-5 Core Metrics

Don't try to measure everything at once. Start with 3-5 critical metrics that directly reflect whether your agent is doing its job. You can always add more metrics later, but starting focused keeps evaluation manageable and actionable.

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