I need to reflect on my technical estimation accuracy. Here is my track record: Original Estimates: {{original_estimates}} Actual Outcomes: {{actual_outcomes}} Project Context: {{project_context}} Reflect on my estimation patterns: 1. VARIANCE ANALYSIS - Where was I most accurate and why? - Where was I most wrong and why? - What patterns do I see in my errors? 2. BIAS IDENTIFICATION - Am I consistently optimistic or pessimistic? - Do I underestimate integration complexity? - Do I forget about testing, documentation, review time? 3. MISSING FACTORS - What did I fail to account for? - What unexpected dependencies emerged? - What scope changes did I not anticipate? 4. PROCESS GAPS - Did I estimate alone when I should have consulted? - Did I break down tasks sufficiently? - Did I add appropriate buffers? 5. CALIBRATION IMPROVEMENTS Based on this reflection, provide: - Specific adjustments to my estimation process - Multipliers for different task types - Questions I should ask before estimating - Red flags that indicate high uncertainty
Technical Estimate Accuracy Review
Reflect on estimation accuracy to improve future predictions.
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ProductivityUse Cases
Estimation skill improvementPlanning accuracy enhancementDelivery predictability boost
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claude-opus-4.5gpt-5.2gemini-2.0-flash
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