How To Estimate User Stories? | #9

https://www.youtube.com/watch?v=M9_z0WVwKK8

Summary

TL;DR — This video explores the #NoEstimates movement and practical methods for estimating user stories, emphasizing a balanced approach rather than strict adherence to either extreme. It introduces techniques like creating baseline stories and SwimLane estimation for efficient backlog refinement.

Key points

• The #NoEstimates movement, advocating for the elimination of estimates, emerged from the idea that estimates are often inaccurate, time-consuming, and can lead to mistrust.

• Businesses often require estimates for budgeting and justification, especially in structured funding models, while dynamic environments like startups may benefit less from them.

• Agile estimation involves progressive refinement, starting with high-level t-shirt sizes for epics and moving to story points for granular user stories.

• Prerequisites for effective story point estimation include a clear Definition of Done and a set of baseline or reference stories to establish benchmarks for complexity, risk, and effort.

• Techniques like SwimLane Estimation offer a faster, bulk approach to estimating multiple user stories by grouping them into size-based lanes.

• Common estimation mistakes include converting story points to hours, averaging conflicting estimates, frequently adjusting reference points, and basing estimates on individual experience rather than relative complexity.

Takeaway — Adopt a flexible approach to estimation, using techniques like baseline stories and SwimLane estimation to provide valuable insights for business needs while avoiding common pitfalls.