Pointing Poker
without all the copy-pasting

Pointing poker (also called planning poker) is an agile estimation technique where team members simultaneously reveal their story point estimates for tasks. This prevents anchoring bias and encourages discussion when estimates differ. In Momentum, pointing poker is built directly into your workflow, so you can estimate tasks without switching between multiple tools.

Unlike other tools that exist completely separate and disconnected from your day-to-day task management, Momentum's pointing poker is fully integrated into your workflow. You can seamlessly move from refinement to estimation to planning to execution, all without context switching. This eliminates the need for manual copy-pasting that's common with Jira plugins and external tools.

No! Momentum includes built-in pointing poker functionality so you don't need standalone estimation apps. Everything happens within your existing task management workflow, keeping your team focused and reducing tool fatigue.

Absolutely! Momentum's pointing poker is designed for distributed teams. Team members can join estimation sessions from anywhere, see real-time voting progress, and participate in discussions. Smart notifications ensure everyone knows when sessions are active, making remote estimation as smooth as in-person planning.

Yes! Momentum supports asynchronous pointing poker sessions. You can queue up multiple tasks for estimation, and team members can vote on them at their own pace. The clickable alert at the top of the page will keep guiding users to the next task that needs pointing, making it easy to work through your estimation backlog efficiently.

By default Momentum uses the Fibonacci point scale (1, 2, 3, 5, 8). But the scale is fully configurable, so feel free to change to whatever works best for your team's estimation approach - linear (1, 2, 3, 4), powers of 2 (1, 2, 4, 8), something comparable to swimming distances (25, 50, 75, 100), etc. - whatever you need!

Once tasks are estimated (whether using pointing poker or not), those story points automatically appear on tasks all throughout Momentum, including in the sprint planning view. This allows you to see total point targets, track capacity against historical velocity, and drill down into points per assignee and points per task type, so you can make data-driven decisions about what fits in each sprint - all without manual data entry.

Group estimation techniques like pointing poker produce more accurate estimates than individual estimation. The simultaneous reveal prevents anchoring bias, while discussions about estimate differences help uncover requirements and risks that individuals might miss. Momentum makes this collaborative process fast and integrated.