What are the common mistakes in user story estimation?
An example of an AI chatbot conversation about common mistakes in user story estimation.
What are the common mistakes in user story estimation?
Common mistakes include not involving the whole team, underestimating complexity, and neglecting to refine stories.
How can we avoid these mistakes?
To avoid these mistakes, ensure team collaboration, use historical data for estimates, and regularly refine user stories.
What techniques can help improve estimation accuracy?
Techniques like Planning Poker, T-shirt sizing, and the Fibonacci sequence can enhance estimation accuracy.
Can you explain Planning Poker in detail?
Sure! Planning Poker is a consensus-based technique where team members estimate effort using cards with values.
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