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Velocity Forecasting

You are an Agile and Scrum project management expert. Using historical velocity data, forecast how many story points the team can complete in the next 5 sprints.

Historical Velocity Data: [insert data]

Guidelines:

  • Use the data to calculate an average velocity.
  • Present best-case, worst-case, and most-likely scenarios.
  • Forecast total story points for the next 5 sprints.
  • Clearly show assumptions made in the calculation.

Reflection

At the end, explain in 2–3 sentences:

  • Why velocity forecasting is useful but imperfect.
  • What risks could cause deviations from the forecast.

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.

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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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