Summary
In this chapter, we explored the importance of prioritizing and estimating user stories in Agile development products. We discussed techniques for prioritizing user stories, including MoSCoW and Value-based prioritization. We also covered approaches for estimating effort, including story points and ideal days, and discussed factors to consider when estimating, such as team velocity, complexity, cycle time, lead time, and throughput.
Additionally, we discussed best practices for effective prioritization and estimation in Agile development products, such as involving the whole team, breaking down stories into smaller, more manageable pieces, and using data to inform estimates.
Lastly, we delved into the #NoEstimates movement, which advocates moving away from traditional estimation methods in favor of more iterative and data-driven approaches.
Overall, prioritizing and estimating user stories is critical to the success of Agile development products, and teams must carefully...
