Free Planning Poker by TeamRetro

Fast, unbiased story-point estimation for teams who want better sprint planning. Estimate together, reveal in real time, and keep momentum going. No sign up required.

Simple, easy estimations for better sprint planning

Keep everyone aligned, reduce anchoring bias, and get to consensus faster.

Add items for discussion

Use this phase to discuss the items to be estimated and allow people to ask questions before estimating.

Estimate items privately

Each player selects a hidden value card. Cards stay hidden
until revealed to avoid anchoring and bias.

Reach shared decision

All cards are revealed with a tally and team average. Discuss, re-vote, or agree on a final estimate.

Ready to go estimation card decks

Choose the scale that works best for your team. Whether you prefer classic Fibonacci or simple t-shirt sizing, we’ve got you covered.

Scrum

Colorful scrum poker cards for online agile estimation in TeamRetro

Fibonacci

Colorful Fibonacci planning poker cards for agile estimation in TeamRetro

Sequential

Sequential planning poker cards for agile story estimation

Half Card

Half-value planning poker cards for agile sprint estimation

Power of Two

Power of two planning poker cards for agile story estimation in TeamRetro

T-shirt Size

Colorful t-shirt size planning poker cards for agile teams

Frequently asked questions

Everything you need to know about Planning Poker.

Planning Poker is an agile estimation technique where team members assign story points to user stories based on their complexity, effort, and uncertainty—helping teams plan sprints more accurately. It promotes team consensus and surfaces differing perspectives early.

1) The Product Owner presents a user story.
2) The team asks clarifying questions.
3) Each member privately selects a card representing their estimate.
4) All cards are revealed simultaneously.
5) If estimates differ, the team discusses and re-votes until consensus is reached.

Story points are an abstract measure of effort, risk, and complexity—not time. In Planning Poker, team members vote using story point values to estimate how challenging a user story is relative to other stories the team has completed.

The Fibonacci sequence reflects increasing uncertainty as tasks grow larger. The widening gaps force teams to acknowledge that large stories are harder to estimate precisely, encouraging them to break down big items into smaller, more predictable pieces.

Use an online Planning Poker tool where team members join a shared room, vote secretly, and reveal estimates together. Screen sharing, video calls, and chat help replicate the collaborative discussion that happens in person.

Yes—anonymous voting prevents anchoring bias and groupthink. When votes are hidden until everyone has chosen, junior members aren’t influenced by senior voices, and each perspective is weighted equally before discussion begins.

Wide variance signals misunderstanding or hidden complexity. Have the highest and lowest voters explain their reasoning—often they’ve spotted risks or assumptions others missed. Discuss, clarify, and re-vote until the team aligns.

Typically the Scrum Master facilitates to keep time and ensure everyone participates. The Product Owner presents stories and answers questions but shouldn’t vote. Some teams rotate facilitation to build shared ownership.

Aim for 1–2 hours max. Estimate 5–10 stories per session depending on complexity. If discussions run long, it often means stories need more refinement before estimation. Take breaks to maintain focus and energy.

You can invite others by sharing the room link to your private planning poker session.

Our users trust us to keep their data secure and confidential. We take privacy and security seriously and work constantly to ensure that trust is well-founded. You can read more about our security policies at help.teamretro.com/article/463-planning-poker-privacy-security.

Related blog articles

Agile estimation, sprint planning, and team collaboration.

Blue and white Free Planning Poker tag badge in TeamRetro

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