Planning poker is a consensus-based estimation method where the team assigns relative effort values to work items, usually with story-point cards.
What is planning poker?
Instead of estimating in raw hours, participants compare tasks by complexity, uncertainty, and effort. Everyone reveals their estimate at the same time, which encourages discussion instead of anchoring the result around the loudest opinion.
Why planning poker matters
- It improves team alignment.
- It reduces anchoring bias.
- It surfaces hidden risks and differences in understanding.
- It works well in agile backlog refinement and sprint planning.
Example
A team discusses a story about exporting transaction history. One person votes 3 points, others vote 5, and the gap triggers a conversation about security and file-generation complexity.
How Apropo supports the workflow around planning poker sessions
Apropo does not expose a native planning poker sessions workflow in the confirmed frontend, but it can support the surrounding estimation workflow through structured scope, reusable estimate assets, and versioned review.
- Hierarchical scope helps teams prepare estimation discussions around concrete modules, features, and tasks.
- Reusable templates and library elements reduce the effort of setting up the same kind of sizing session repeatedly.
- Versioned estimate variants make it easier to compare alternative outcomes after a planning discussion.
- Shareable proposal snapshots help teams review one estimate state with stakeholders after the session.
How Apropo helps refine work after planning poker sessions
That makes Apropo useful before and after the planning poker sessions exercise, even if the method itself happens outside the product.
- Comments and share links help document follow-up clarifications around the chosen estimate shape.
- Jira export helps move a reviewed estimate structure closer to implementation planning.
- PDF and proposal exports make it easier to communicate the outcome beyond the delivery team.
- Budget tracking can later compare planned versus actual work and improve future estimation decisions.
Related terms
- Story points
- User story
- Top-down estimating