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Task Estimate Calibration

Improves estimation accuracy by analyzing past prediction patterns.

Updated June 2026
The prompt
Past tasks with estimates vs. actual:
{{task_history}}

Analyze:
1. Average estimation error (over/under)
2. Task types consistently mispredicted
3. External factors that created slippage
4. Your baseline estimation unit (hours, points)
5. Confidence level by task complexity

Create:
1. Adjusted estimation multiplier (e.g., × 1.3 for complex tasks)
2. Risk buffer recommendations
3. Categories requiring expert input
4. Escalation thresholds for revised estimates
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Variables

List of past tasks with estimates and actuals

Details

Author

AI Khazna

License

Security

Type

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