Dynamic

Planning Poker vs Dot Voting

Developers should use Planning Poker during sprint planning or backlog refinement sessions to improve estimation accuracy and team alignment meets developers should use dot voting during sprint planning, backlog grooming, or design workshops to democratically prioritize tasks, features, or solutions when team input is needed. Here's our take.

🧊Nice Pick

Planning Poker

Developers should use Planning Poker during sprint planning or backlog refinement sessions to improve estimation accuracy and team alignment

Planning Poker

Nice Pick

Developers should use Planning Poker during sprint planning or backlog refinement sessions to improve estimation accuracy and team alignment

Pros

  • +It's particularly valuable in Scrum or other agile frameworks where relative sizing (e
  • +Related to: agile-methodology, scrum

Cons

  • -Specific tradeoffs depend on your use case

Dot Voting

Developers should use Dot Voting during sprint planning, backlog grooming, or design workshops to democratically prioritize tasks, features, or solutions when team input is needed

Pros

  • +It is particularly valuable in agile environments for reducing bias, fostering engagement, and efficiently narrowing down options from brainstorming sessions, such as when selecting user stories or technical approaches
  • +Related to: agile-methodologies, design-thinking

Cons

  • -Specific tradeoffs depend on your use case

The Verdict

Use Planning Poker if: You want it's particularly valuable in scrum or other agile frameworks where relative sizing (e and can live with specific tradeoffs depend on your use case.

Use Dot Voting if: You prioritize it is particularly valuable in agile environments for reducing bias, fostering engagement, and efficiently narrowing down options from brainstorming sessions, such as when selecting user stories or technical approaches over what Planning Poker offers.

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The Bottom Line
Planning Poker wins

Developers should use Planning Poker during sprint planning or backlog refinement sessions to improve estimation accuracy and team alignment

Disagree with our pick? nice@nicepick.dev