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Online planning poker tool for Scrum team estimation. Estimate with Fibonacci numbers or T-shirt sizes.
Select a card set (Fibonacci, T-shirt sizes, etc.) and add participant names. Enter the story title and description.
Each participant selects a card to vote. After everyone has voted, click 'Reveal Votes' to show all votes simultaneously.
Review the voting results including average, median, and distribution. Once consensus is reached, click 'Next Story' to proceed and save the estimate to history.
Enter each participant's name
Please add participants
No estimation history
Planning Poker is a consensus-based estimation technique used by Agile/Scrum development teams to estimate user story effort. Each team member independently selects a card and reveals it simultaneously, which prevents anchoring bias (being influenced by others' opinions) and leads to more accurate and fair estimates. This tool can be used online, making it easy for remote teams to conduct Planning Poker sessions.
Planning Poker is a consensus-based estimation technique used by agile development teams to estimate user story effort. Each team member independently selects a card and reveals it simultaneously, which prevents anchoring bias and leads to more accurate estimates.
The Fibonacci sequence (1, 2, 3, 5, 8, 13...) is the most popular choice as it reflects that larger tasks have higher uncertainty. If your team is not comfortable with numbers, starting with T-shirt sizes (S, M, L, XL) is a good alternative.
Ask the members who selected the highest and lowest values to explain their reasoning, then discuss as a team. This helps reveal information asymmetry and different assumptions, leading to more accurate estimates. After discussion, vote again.
Use it when the story content is unclear and you cannot estimate, or when you feel information is insufficient. When '?' is selected, first have a discussion to clarify the story content.
Estimation history is only kept during your browser session. It resets on page reload, so please use the 'Export History' feature to save if needed.