Cycle volatility
The Cycle volatility report measures how much the cycle scope changed after the cycle started. Use this metric to identify scope creep, unplanned interruptions, or issues with cycle locking practices.
Note: Cycle volatility is only available when Linear is connected to DX.

When to use cycle volatility
Cycle volatility answers the question: How much did the scope change mid-cycle?
This report helps teams:
- Identify scope creep — Understand how often new work is being added after cycle planning.
- Spot process issues — High volatility may indicate poor cycle locking discipline or frequent interruptions.
- Explain low predictability — When cycle predictability is low, high volatility is often the cause.
How volatility percentage is calculated
The volatility percentage is calculated as:
Unplanned work ÷ Total work
Where:
- Unplanned work is the story point/issue count for issues added after the cycle started
- Total work is the story point/issue count for all issues in the cycle, whether planned or unplanned
This metric specifically tracks items where planned = false—issues that were added after the cycle start date. Cycle volatility can be calculated based on either story points or issue counts.
Understanding planned vs. unplanned work
| Term | Definition |
|---|---|
| Planned points | Story points for issues that existed in the cycle at the cycle start time |
| Unplanned points | Story points for issues added after the cycle started |
| Completed points | Story points for all issues marked complete during the cycle, regardless of when they were added |
How cycle volatility relates to other cycle metrics
Cycle volatility provides context for interpreting cycle completion and cycle predictability:
- High volatility + low predictability — Suggests that scope creep is disrupting the team’s ability to deliver on commitments.
- High volatility + high completion — Indicates the team is absorbing additional work and still closing it out, but may be at risk of burnout or unsustainable pace.
- Low volatility — Suggests strong cycle discipline, making predictability a more reliable measure of planning accuracy.