vault backup: 2025-10-13 16:32:45
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@@ -18,7 +18,7 @@ for an estimator who is purely interested in improving their skills.
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## Transparency
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Because of the persistent myth of estimate accuracy,
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Because of the [[purpose-of-construction-estimating#The Myth of Estimate Accuracy]],
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estimators are highly guarded of their personal processes,
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because detailed analysis of these processes
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would reveal that every one of us is a "bad" estimator.
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@@ -59,7 +59,14 @@ such that any member can independently verify the work of another.
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This is best enforced with an expectation of collaboration on all projects,
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even those that could be done by one person.
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## Kaizen
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## Technicality
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In other industries, estimating is treated appropriately like a data science.
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In ours, [[gut-feel]] dominates decision making.
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<!-- TODO: -->
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[[estimator-calibration]]
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[[ai-in-estimating]]
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* Be competent with every tool available to you.
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* Always assume there is a better way to complete a given task.
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@@ -68,10 +75,8 @@ Making estimation more efficient and enjoyable
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requires a unified effort by estimators
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to embrace the statistical aspects of our field.
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## Technicality
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## Incentives
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In other industries, estimating is treated appropriately like a data science.
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[[gut-feel]]
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[[estimator-calibration]]
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[[ai-in-estimating]]
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I strongly oppose any project-based incentive structure for estimators.
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Such a structure is at odds with the [[purpose-of-construction-estimating]],
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and is an example of a [perverse incentive](https://en.wikipedia.org/wiki/Perverse_incentive).
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