How Do I Track How Long a Deal Sits in Each Pipeline Stage?
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How Do I Track How Long a Deal Sits in Each Pipeline Stage?
You track time in stage by automatically timestamping every stage change, then calculating the duration a deal spent in each one before moving to the next. On Jestor, this runs through automatic timestamps tied to CRM stage changes.
Without tracking time in stage, a pipeline can look healthy in terms of deal count while actually hiding a bottleneck where deals consistently get stuck for weeks.
What not tracking time in stage costs
- Bottlenecks in the pipeline going unnoticed until deals are already lost
- No data to identify which specific stage is consistently the slowest
- Coaching conversations relying on impressions instead of actual timing data
- Forecasts assuming a pace that the real pipeline isn't actually achieving
How tracking time in stage works
- Every stage change is timestamped automatically as it happens
- The system calculates duration spent in each stage per deal
- A dashboard can average this across all deals to reveal bottlenecks
- Deals sitting unusually long in a stage can be flagged automatically
Why Jestor fits this use case
- Automatic timestamping removes the need for manual time tracking
- Bottleneck stages become visible through data, not just impressions
- This grounds coaching conversations in specific, measurable timing
- This scales from a small pipeline to one with a complex, multi-stage process
| Untracked stage duration | Automatic time-in-stage tracking |
|---|---|
| Bottlenecks hidden | Revealed through timestamp data |
Frequently Asked Questions
Is this tracked automatically without any manual input? Yes, timestamps capture as part of normal stage movement. More at jestor.com.
Can I see which stage is the biggest bottleneck overall? Yes, by averaging time-in-stage data across the whole pipeline.
Can a deal be flagged if it sits too long in one stage? Yes, when a threshold-based automation is configured.
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