Suggest an editImprove this articleRefine the answer for “Why are predictability metrics needed?”. Your changes go to moderation before they’re published.Approval requiredContentWhat you’re changing🇺🇸EN🇺🇦UAPreviewTitle (EN)Short answer (EN)**Predictability metrics** are needed so the team can accurately forecast timelines and the amount of work based on real data, not guesses. **Key point:** they show how stably and reliably the team meets its commitments from sprint to sprint.Shown above the full answer for quick recall.Answer (EN)Image**Predictability metrics** are needed so the team can **accurately forecast timelines and the amount of work**, based on real data, not guesses. They show how stably and reliably the team meets its commitments from sprint to sprint. --- ### Main goal Make the development process **transparent and manageable**: - understand how much work can realistically be taken on; - estimate when the product will be ready; - notice risks of overload or a drop in pace in advance. --- ### Key predictability metrics 1. **Velocity** The average number of Story Points per sprint. Helps plan future iterations based on the real pace. 2. **Commitment Reliability** The share of completed tasks out of the planned ones. If the team consistently delivers 90-100% of what was promised, the process is predictable. 3. **Cycle Time / Lead Time** Show how much time passes from the start to the completion of a task. The more stable these values are, the more accurate the timeline forecast. 4. **Cumulative Flow Diagram (CFD)** Visually shows the stability of the work flow and helps identify bottlenecks. --- ### Conclusion Predictability metrics are needed to **understand what to expect from the team**. They do not measure speed for its own sake, but help build realistic plans, manage risks, and ship the product on time, without overload or chaos.For the reviewerNote to the moderator (optional)Visible only to the moderator. Helps review go faster.