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task-success-metrics

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Measuring whether the AI actually helped users accomplish their goals.

skills/evaluation/task-success-metrics/SKILL.md

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# Task Success Metrics
Output quality doesn't guarantee task success. The AI might produce a beautiful response that doesn't actually help the user do what they came to do. Task success metrics measure the end-to-end outcome.
## Defining Task Success
For each user task, define:
- **What does success look like?** The user completed their goal (sent the email, found the information, finished the design)
- **What are the success criteria?** Specific, observable conditions that indicate the task is done
- **What's the time expectation?** How long should this task take with AI assistance vs. without?
- **What's the quality bar?** Not just done, but done well enough
## Task Success Metrics
- **Task completion rate**: Percentage of users who complete the task (not just get a response)
- **Time to completion**: How long from first input to task done
- **Turns to completion**: How many back-and-forth exchanges needed
- **First-attempt success rate**: Did the AI's first response accomplish the task, or did it require iteration?
- **Intervention rate**: How often did the user need to correct, redirect, or override the AI?
- **Abandonment rate**: How often did users give up before completing the task?
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