Utilizing benchmarks and historical data from similar past projects is the most effective way to improve the accuracy of task duration estimates. This data provides a realistic basis for estimating the time required for each task, considering factors such as team expertise, resource availability, and potential challenges. While expert judgment and team member input can be valuable, they may be subject to biases or lack of experience. Arbitrary time buffers do not address the root cause of estimation inaccuracies and may lead to inefficient resource allocation.
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