vault backup: 2025-10-13 16:32:45

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2025-10-13 16:32:45 -04:00
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@@ -18,7 +18,7 @@ for an estimator who is purely interested in improving their skills.
## Transparency
Because of the persistent myth of estimate accuracy,
Because of the [[purpose-of-construction-estimating#The Myth of Estimate Accuracy]],
estimators are highly guarded of their personal processes,
because detailed analysis of these processes
would reveal that every one of us is a "bad" estimator.
@@ -59,7 +59,14 @@ such that any member can independently verify the work of another.
This is best enforced with an expectation of collaboration on all projects,
even those that could be done by one person.
## Kaizen
## Technicality
In other industries, estimating is treated appropriately like a data science.
In ours, [[gut-feel]] dominates decision making.
<!-- TODO: -->
[[estimator-calibration]]
[[ai-in-estimating]]
* Be competent with every tool available to you.
* Always assume there is a better way to complete a given task.
@@ -68,10 +75,8 @@ Making estimation more efficient and enjoyable
requires a unified effort by estimators
to embrace the statistical aspects of our field.
## Technicality
## Incentives
In other industries, estimating is treated appropriately like a data science.
[[gut-feel]]
[[estimator-calibration]]
[[ai-in-estimating]]
I strongly oppose any project-based incentive structure for estimators.
Such a structure is at odds with the [[purpose-of-construction-estimating]],
and is an example of a [perverse incentive](https://en.wikipedia.org/wiki/Perverse_incentive).