Studies have shown how we are - and are not - good at estimation, and what can be done to improve our accuracy.
Overview
The article discusses why teams often struggle with estimation, highlighting human biases, past experiences, and team dynamics that affect accuracy. It explains that people are better at estimating familiar tasks, offers practical advice such as using ranges instead of single numbers, and cites research showing software estimates are typically within 20-30% of actuals.
Key Takeaways
Who Would Benefit
Frameworks and Methodologies
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