Planning Poker is a consensus-based Agile estimation technique used in project management. It involves selecting user stories, privately assigning story points by participants, followed by discussions and re-estimations until consensus is reached. This approach encourages team collaboration, consensus building, and improves time efficiency. Challenges include ensuring estimation accuracy and avoiding over-commitment.
Process:
- Story Selection: Selecting user stories for estimation in the upcoming sprint.
- Estimation Round: Each participant privately assigns story points to a story.
- Discussion: Participants discuss their estimates and reasoning.
- Re-estimation: Repeating the estimation process until a consensus is reached.
Participants:
- Product Owner: Responsible for providing clarifications and story details.
- Development Team: Engaged in estimating the user stories.
- Scrum Master: Facilitates the planning poker session and ensures the process is followed.
Story Points:
- Fibonacci Sequence: A commonly used sequence for story point estimation (1, 2, 3, 5, 8, 13, โฆ).
- T-shirt Sizes: Using relative sizes like XS, S, M, L, XL to estimate complexity.
Use Cases:
- Sprint Planning: Estimating user stories during sprint planning sessions.
- Release Planning: Estimating backlog items for a release.
Benefits:
- Team Collaboration: Encourages team collaboration and knowledge sharing.
- Consensus Building: Facilitates consensus building among team members.
- Time Efficiency: Improves time efficiency in estimation compared to other methods.
Challenges:
- Estimation Accuracy: Ensuring accurate estimation due to human biases.
- Over-Commitment: Avoiding over-commitment by the team during sprint planning.
- Sizing Complexity: Challenges in estimating complex user stories.
Planning Poker: Key Highlights
- Definition and Purpose: Planning Poker is an Agile estimation technique used in project management to achieve consensus-based estimates for user stories. It fosters collaboration, enhances consensus building, and improves estimation accuracy.
- Process:
- Story Selection: Choose user stories for estimation in the upcoming sprint.
- Estimation Round: Participants privately assign story points to each story.
- Discussion: Participants discuss their estimates and rationale.
- Re-estimation: Reiterate the estimation process until consensus is achieved.
- Participants:
- Product Owner: Provides clarifications and story details to the team.
- Development Team: Engages in estimating user stories.
- Scrum Master: Facilitates the session, ensuring adherence to the process.
- Story Points:
- Fibonacci Sequence: Commonly used for story point estimation (1, 2, 3, 5, 8, 13, โฆ).
- T-shirt Sizes: Using relative sizes like XS, S, M, L, XL to indicate complexity.
- Applicability:
- Sprint Planning: Estimating user stories for the upcoming sprint.
- Release Planning: Estimating backlog items for an entire release.
- Benefits:
- Team Collaboration: Encourages team members to collaborate and share their insights.
- Consensus Building: Facilitates agreement among team members on story estimates.
- Time Efficiency: Improves estimation efficiency compared to other methods.
- Challenges:
- Estimation Accuracy: Ensuring accurate estimation despite human biases.
- Over-Commitment: Avoiding overcommitment by the team during sprint planning.
- Sizing Complexity: Difficulties in estimating highly complex user stories.
Connected Agile & Lean Frameworks
Read Also: Continuous Innovation, Agile Methodology, Lean Startup, Business Model Innovation, Project Management.
Read Next: Agile Methodology, Lean Methodology, Agile Project Management, Scrum, Kanban, Six Sigma.
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