Name
Fielding
Synopsis
- Purpose
Establish a relative rating for the range and breadth of work successfully handled. - Formula
Fielding = (Utility + Range) - (Turnovers + Errors)
Example
The individual coders on a software team are measured to have the following Skill Metric values for a software release, calculated through four months following the release:
Coder A: Utility 114, Range 2, Turnovers 22, Errors 71 |
Coder B: Utility 98, Range 6, Turnovers 11, Errors 29 |
Coder C: Utility 132, Range 4, Turnovers 7, Errors 70 |
Coder D: Utility 106, Range 3, Turnovers 0, Errors 49 |
The Fielding metric for each coder can then be calculated as follows:
Fielding Coder A = (114 + 2) - (22 + 71) = 23 |
Fielding Coder B = (98 + 6) - (11+ 29) = 64 |
Fielding Coder C = (132 + 4) - (7 + 70) = 59 |
Fielding Coder D = (106 + 3) - (0 + 49) = 60 |
Notes
The Fielding metric is so named for the idea of “fielding” from baseball, which refers to players on the field catching the ball. Conceptually this metric represents how much activity a “player” is involved in, and how proficient she is in handling the activity. In this case, the Utility and Range Skill Metrics are the indicators of how much “stuff” each coder handled, and that is offset by the number of Turnovers and Errors, which are the counter-indicative magnitude of mistakes made.
A coder with a high Fielding rating is someone who successfully handles a number of items while keeping the number of mistakes relatively low. As with other Rating Metrics, you need to be careful about ...
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