What is the "Dunning-Kruger effect" risk in software estimation, and how might experienced teams account for it?
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The correct answer is A) Less experienced members may underestimate task complexity due to limited awareness of edge cases or hidden dependencies, leading to overconfident, too-low estimates; teams might mitigate this with senior input, historical data, or contingency buffers
Correct Answer
Less experienced members may underestimate task complexity due to limited awareness of edge cases or hidden dependencies, leading to overconfident, too-low estimates; teams might mitigate this with senior input, historical data, or contingency buffers
Recognizing that less-experienced estimators may not know what they don't know helps teams structure estimation processes (e.g., group discussions, reference-class forecasting) to surface hidden risks that individuals might overlook.