Once a backlog is ordered, the next question is always "when will it be done?" This module looks at estimation, planning, and forecasting: how teams size work, decide what fits into a sprint or release, and give stakeholders predictions they can actually trust.
You'll start with estimation techniques, including relative sizing, story points, and Planning Poker, and why estimates are more useful as conversations than as commitments. Next you'll look at sprint and release planning, using velocity, capacity, and roadmaps to decide what is realistic. The module closes with flow-based forecasting, using cycle time, throughput, and probabilistic methods such as Monte Carlo simulation to answer delivery questions with ranges instead of single dates.
With a grounded approach to planning in place, you'll be ready for the next module, Facilitation Skills, where you look at how to run the workshops, planning sessions, and retrospectives that bring teams to shared decisions.
How teams size work with relative estimation, story points, and Planning Poker, why estimates work best as shared conversations, and where the #NoEstimates movement fits in.
How teams decide how much work to take into a sprint, the difference between planning from average velocity and planning from real team capacity, and what to do when a team has no history yet.
Using cycle time, throughput, burn-up charts, and Monte Carlo simulation to forecast delivery as a range of likely outcomes instead of a single date.