A hands-on, workshop-style introduction to Agile Scrum for the people doing the work — equally useful for a team starting from scratch and a team tightening up habits it already has. These are online project management methodology classes — each class runs one hour and is delivered live online.
Class 01 1 hour
Agile Foundations & the Scrum Framework
The values and principles behind the framework, how Scrum fits within Agile, and the difference between running the events and actually being agile.
What you will learn
The Agile values and principles in plain language
How Scrum fits inside the wider Agile landscape
Empiricism in practice: transparency, inspection, adaptation
The difference between running the events and actually being agile
Class 02 1 hour
Scrum Roles & Accountabilities
Product Owner, Scrum Master, and Developers — what each is accountable for, where the boundaries blur in real teams, and how to keep them from collapsing into one.
What you will learn
What the Product Owner is accountable for, and what they decide
What the Scrum Master does when the team is already functioning
Developer accountabilities as a group rather than as individuals
Where role boundaries blur in real teams, and how to reset them
Class 03 1 hour
Scrum Events & the Sprint Cadence
Sprint planning, daily scrum, review, and retrospective — the purpose of each, how long they should take, and how to run them so people stop dreading them.
What you will learn
The purpose, timebox, and output of each event
Running a daily scrum that takes 15 minutes and is worth attending
Choosing a sprint length that fits the work
Fixing the meeting patterns that make teams dread Scrum
Class 04 1 hour
Artifacts & the Definition of Done
Product backlog, sprint backlog, and increment — plus writing a Definition of Done your team will actually hold itself to.
What you will learn
What the product backlog, sprint backlog, and increment are each for
Writing a Definition of Done the team will actually enforce
The commitments attached to each artifact: product goal, sprint goal, DoD
Keeping artifacts transparent without drowning in documentation
Class 05 1 hour
Writing User Stories & Acceptance Criteria AI
Story structure, slicing work small, and writing testable acceptance criteria — with a hands-on segment on drafting and refining stories with AI assistance.
What you will learn
Story structure, and how to slice work small enough to finish in a sprint
Writing acceptance criteria that are testable rather than aspirational
Using AI to draft, split, and refine stories — with review discipline
Recognizing a story that is really an epic in disguise
Class 06 1 hour
Estimation & Sprint Planning
Relative estimation, story points versus hours, planning poker, and building a sprint the team can commit to with a straight face.
What you will learn
Relative estimation, and why story points beat hour estimates
Running planning poker without it turning into negotiation
Building a sprint backlog around a clear sprint goal
Handling work that will not fit neatly inside one sprint
Class 07 1 hour
Backlog Grooming & Prioritization
Keeping the backlog ready without over-planning: refinement cadence, prioritization techniques, and deciding what genuinely comes next.
What you will learn
A refinement cadence that keeps roughly two sprints of ready work
Prioritization techniques: value versus effort, WSJF basics, MoSCoW
What ‘ready’ means, and who decides
Keeping the backlog from becoming a graveyard
Class 08 1 hour
Reviews, Demos & AI-Summarized Retrospectives AI
Demoing working increments to stakeholders, and running retrospectives that produce real change — including using AI to summarize themes and track action items.
What you will learn
Demoing a working increment and collecting usable stakeholder feedback
Retrospective formats that surface honest issues
Using AI to summarize retro themes and track actions across sprints
Making sure retrospective actions actually get done
Class 09 1 hour
Tooling: Jira, Confluence & Workfront AI
Setting up boards, workflows, and reporting that match how your team actually works — plus where Claude and ChatGPT fit alongside them, and where they don't.
What you will learn
Setting up boards, workflows, and issue types that match how you work
The reports worth configuring, and the dashboards to ignore
Linking Confluence documentation to live work
Where Claude and ChatGPT fit alongside these tools — and where they do not
Class 10 1 hour
Working Agreements & Continuous Improvement
Establishing team working agreements, spotting your own anti-patterns, and building the improvement habit that keeps the framework from going stale.
What you will learn
Writing team working agreements the team genuinely owns
Spotting your own anti-patterns before they harden
Running small experiments and measuring whether they worked
Building the improvement habit that keeps the framework from going stale
Format: 10 online classes × 1 hour each = 10 hours total. Delivered live online as one class per week, or grouped into longer workshop blocks.
Team workshops are hands-on and use your own backlog wherever possible, so the team leaves with real stories, a real board, and a working agreement they wrote themselves.
Book a free 30-minute consultation. We'll talk through your goals, your team, and which Agile Scrum 101™ with AI track fits best — no pressure, no obligation.
