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Planning Poker in Agile Project Management

Planning Poker in Agile Project Management

$249.00
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Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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This curriculum spans the equivalent depth and breadth of a multi-workshop organizational rollout of Planning Poker, addressing not only facilitation mechanics but also team dynamics, cross-team alignment, governance constraints, and integration with agile planning at scale.

Module 1: Foundations of Estimation in Agile Environments

  • Selecting between relative estimation using story points versus absolute estimation in hours based on team maturity and project predictability.
  • Defining a team-specific definition of "done" to anchor estimation consistency across backlog items.
  • Establishing baseline user stories to serve as reference points for sizing future backlog items.
  • Deciding when to involve stakeholders in estimation sessions versus limiting participation to delivery team members.
  • Managing resistance from team members accustomed to command-and-control estimation practices.
  • Documenting estimation assumptions for auditability and retrospective analysis.

Module 2: Planning Poker Mechanics and Facilitation

  • Choosing the appropriate card set (e.g., Fibonacci, modified Fibonacci, powers of two) based on team preference and granularity needs.
  • Enforcing time-boxed discussion periods before and after card reveals to maintain session efficiency.
  • Handling edge cases such as unanimous low estimates on high-risk stories or persistent split voting.
  • Intervening when dominant personalities influence team voting through persuasion or authority.
  • Deciding whether to allow re-estimation immediately after discussion or require a cooling-off period.
  • Managing remote participation using digital tools while preserving anonymity of initial votes.

Module 3: Backlog Preparation for Effective Estimation

  • Enforcing INVEST criteria on user stories prior to estimation sessions to reduce ambiguity.
  • Splitting epics into estimable chunks without over-engineering decomposition.
  • Assigning story ownership for clarification without biasing the estimation outcome.
  • Identifying and flagging stories with unresolved dependencies or external blockers.
  • Scheduling backlog refinement sessions to ensure sufficient preparation before planning poker.
  • Using spike stories for research when technical feasibility is unknown but estimation is required.

Module 4: Team Dynamics and Cognitive Biases

  • Implementing anonymous voting to mitigate anchoring effects from early speakers.
  • Addressing the halo effect where high-performing individuals disproportionately influence estimates.
  • Rotating facilitation roles to distribute responsibility and reduce facilitator bias.
  • Calling out planning fallacy when teams consistently underestimate complex tasks.
  • Using structured dissent techniques (e.g., devil’s advocate rotation) to expose hidden risks.
  • Monitoring velocity trends to detect optimism bias across multiple sprints.

Module 5: Integration with Agile Planning and Scheduling

  • Aligning story point estimates with sprint capacity based on historical team velocity.
  • Adjusting release timelines when estimation outliers indicate scope misalignment.
  • Using story point data to forecast delivery windows for stakeholder roadmaps.
  • Deciding whether to re-estimate stories after significant changes in scope or context.
  • Integrating estimation outputs into backlog prioritization frameworks like WSJF.
  • Handling carryover stories by assessing whether re-estimation is necessary post-sprint.

Module 6: Metrics, Calibration, and Continuous Improvement

  • Tracking estimation accuracy by comparing planned versus actual story completion.
  • Conducting regular calibration sessions to align cross-team estimation practices.
  • Using control charts to monitor story point velocity and identify systemic variances.
  • Adjusting team-level estimation baselines after onboarding new members.
  • Defining thresholds for outlier stories that trigger root cause analysis.
  • Linking estimation data to retrospective action items to close feedback loops.

Module 7: Scaling Planning Poker Across Teams and Programs

  • Establishing a common story point benchmark for multiple teams working on the same product.
  • Coordinating estimation alignment sessions during PI planning in SAFe environments.
  • Resolving discrepancies in story sizing between component and feature teams.
  • Using proxy estimators when subject matter experts cannot attend all sessions.
  • Managing estimation consistency in geographically distributed teams with time zone challenges.
  • Documenting and sharing estimation rationale across teams to maintain transparency.

Module 8: Governance, Audit, and Stakeholder Communication

  • Archiving estimation records to support audit requirements in regulated industries.
  • Translating story point outputs into business-friendly forecasts without misrepresenting uncertainty.
  • Setting stakeholder expectations around estimation precision and confidence intervals.
  • Handling pressure to convert story points into fixed-cost, fixed-scope contracts.
  • Defending estimation integrity when leadership demands arbitrary reductions in story size.
  • Reporting estimation trends to governance boards without oversimplifying agile principles.
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