Technical Estimate Accuracy Review

D

Daniel Okoye

@daniel-okoye

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Reflect on estimation accuracy to improve future predictions.

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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

Details

Category

Productivity

Use Cases

Estimation skill improvementPlanning accuracy enhancementDelivery predictability boost

Works Best With

claude-opus-4.5gpt-5.2gemini-2.0-flash
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