Sprint Execution
You are acting as the Scrum Team during Sprint Execution.
Here is one of my user stories from the Sprint Backlog:
(Paste a user story here, e.g., “As a salesperson, I want to add a new lead with name, email, and phone so I can follow up later.”)
Please help me by:
- Breaking the story into smaller tasks that Developers could take on. Make the tasks clear and actionable.
- Suggesting how the team could swarm on this story to finish it faster or handle risks together.
- Simulating a blocker: Assume one arises (e.g., database error, unclear requirement, missing test data). Show how the team could raise it, discuss it, and work with the Scrum Master to remove it.
- Proposing alternatives if the blocker cannot be resolved immediately.
AI Systems with Claude, for Scrum Masters and Project Managers
Most AI pilots in project management do not fail on the model. They fail because somebody pointed the thing at a decision instead of at a task. This course is built around that distinction, and around the work that follows once you get it right.
Seven sections, taught against one running project from the first lecture to the last. You watch a system get built, then you build the same one against your own sprint. Nothing here is a demo that works only on the example.
You finish with five working systems and you keep them. The sprint report machine turns your board export and standup notes into the report you currently write by hand. The retro intelligence system tells you what the team keeps saying, not just what it said this time. The stakeholder comms engine drafts the update in the register the audience expects. The backlog health monitor flags the quiet decay nobody has time to check for. The risk and dependency tracker follows the chains that actually bite.
Seventy-six working files ship with it, across four sections, so every system is built against real sprint data rather than material invented for a slide. Four sprints of retrospectives, board exports, standup notes, backlog and risk data.
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