What does the Story Points in Agile Project Management course cover?
Story Points in Agile Project Management is covered here in 7 modules: Foundations of Story Point Estimation, Facilitating Effective Planning Poker Sessions, Integrating Story Points with Backlog Management and 4 more. The outline lists 42 specific topics, opening with selecting a relative sizing scale (e.g., Fibonacci, powers of two) based on team familiarity and project granularity requirements.
How do you approach Story Points in Agile Project Management step by step?
The work is sequenced in 7 stages. It starts with Foundations of Story Point Estimation, moves through Facilitating Effective Planning Poker Sessions and Integrating Story Points with Backlog Management, and ends at Continuous Improvement and Anti-Pattern Mitigation. Each stage carries its own topic list, so the sequence is followed rather than summarised.
What is in Module 1 of the Story Points in Agile Project Management course?
Module 1 is Foundations of Story Point Estimation. It works through selecting a relative sizing scale (e.g., Fibonacci, powers of two) based on team familiarity and project granularity requirements., establishing a baseline user story to anchor all future estimations and ensure consistency across sprints., defining what constitutes "done" for a story to prevent underestimation due to incomplete scope assumptions. and 3 more.
How is the Story Points in Agile Project Management course delivered?
The Story Points in Agile Project Management course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Story Points in Agile Project Management course cost?
The Story Points in Agile Project Management course is $198 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Story Points in Agile Testing Dataset, Story Points in Systems Administration Dataset, User Stories in Agile Project Management, Agile User Stories in Data management Dataset.
More answers: what you get with every course, refund policy, all help answers.
This curriculum spans the full lifecycle of story point usage in Agile environments, comparable to a multi-workshop internal capability program that addresses team-level estimation practices, cross-team coordination, portfolio governance, and organizational anti-patterns.
Module 1: Foundations of Story Point Estimation
- Selecting a relative sizing scale (e.g., Fibonacci, powers of two) based on team familiarity and project granularity requirements.
- Establishing a baseline user story to anchor all future estimations and ensure consistency across sprints.
- Defining what constitutes "done" for a story to prevent underestimation due to incomplete scope assumptions.
- Deciding whether to include non-functional requirements (e.g., performance, security) in story point assessments.
- Handling estimation for spike stories that involve research or technical exploration with uncertain outcomes.
- Documenting team-specific estimation conventions in a shared playbook to support onboarding and auditability.
Module 2: Facilitating Effective Planning Poker Sessions
- Setting time limits for discussion per story to prevent analysis paralysis during estimation meetings.
- Managing dominant voices by enforcing silent voting and structured turn-taking to preserve team consensus.
- Addressing outliers in estimates through root-cause discussion rather than immediate convergence.
- Scheduling recurring estimation sessions to align with backlog refinement cadence and release planning.
- Using digital tools (e.g., Jira Agile, PlanningPoker.com) to support remote team participation and audit trails.
- Rotating facilitation responsibilities among team members to distribute ownership and improve engagement.
Module 3: Integrating Story Points with Backlog Management
- Re-estimating stories after significant changes in scope, technology, or team composition.
- Grouping backlog items by epics or themes to identify estimation patterns and inconsistencies.
- Using story point ranges instead of fixed values for large or uncertain items to reflect confidence levels.
- Flagging stale estimates that haven’t been revisited in over three sprints for revalidation.
- Aligning story point thresholds with sprint capacity to prevent overcommitment.
- Linking story points to dependency mapping to assess cross-team impact and sequencing risks.
Module 4: Measuring and Interpreting Team Velocity
- Calculating rolling average velocity over the last five sprints to reduce noise from outliers.
- Excluding velocity data from performance evaluations to prevent gaming of estimates.
- Distinguishing between committed points and completed points to diagnose planning accuracy.
- Adjusting velocity forecasts for known capacity changes (e.g., holidays, team member departures).
- Using velocity trends to inform release date projections and stakeholder communication.
- Identifying velocity plateaus and initiating retrospectives to uncover process bottlenecks.
Module 5: Cross-Team and Portfolio-Level Scaling
- Deciding whether to normalize story points across teams or allow team-relative sizing with calibration events.
- Establishing synchronization points (e.g., SAFe PI Planning) to align estimation assumptions across teams.
- Aggregating story points at the program level using weighted averages rather than direct summation.
- Managing dependencies between teams by estimating integration effort as separate stories.
- Using normalized flow metrics (e.g., points per person-day) to compare efficiency without comparing estimates.
- Resolving conflicts when teams disagree on story point values for shared backlog items.
Module 6: Governance, Reporting, and Stakeholder Communication
- Designing dashboards that show trend lines for velocity and burnup without exposing raw estimates to non-technical stakeholders.
- Translating story point progress into business-relevant forecasts (e.g., feature delivery windows).
- Setting thresholds for variance reporting (e.g., >20% drop in velocity) to trigger escalation protocols.
- Archiving estimation data quarterly for audit and historical analysis while maintaining system performance.
- Training product owners to explain estimation uncertainty without undermining confidence in delivery.
- Defining escalation paths when stakeholders demand time-based conversions from story points.
Module 7: Continuous Improvement and Anti-Pattern Mitigation
- Conducting quarterly estimation retrospectives to assess bias, drift, and team calibration.
- Identifying and correcting inflationary pressure when teams consistently increase estimates without justification.
- Addressing anchor bias by randomizing story presentation order in planning sessions.
- Implementing estimation calibration workshops when onboarding new team members or merging teams.
- Monitoring for "velocity theater" where teams complete low-value high-point stories to inflate metrics.
- Updating estimation guidelines in response to changes in delivery methodology, such as adopting CI/CD or microservices.