Definition
A pipeline review is a structured inspection of active deals, stages, and close dates to improve forecast accuracy.
How to use it
- Focus on stage exit criteria and next steps per deal.
- Flag stalled deals and reset close dates quickly.
Common mistakes
- Turning reviews into status meetings instead of decision checkpoints.
- Letting deals linger without clear next actions.
Measured as
Measure Pipeline Review on the same customer segment, time window, and revenue basis each time you review it.
Misused when
- Turning reviews into status meetings instead of decision checkpoints.
- Letting deals linger without clear next actions.
Operator takeaway
- Focus on stage exit criteria and next steps per deal.
- Flag stalled deals and reset close dates quickly.
- Keep Pipeline Review consistent by cohort, segment, and period before you use it as a decision signal in planning or reporting.
- Interpret the metric alongside retention, margin, or payback so one ratio does not hide the real operating trade-off.
Next decision
- Read Sales ops metrics hub: quota, pipeline, win rate, and capacity planning if the decision depends on interpretation, policy, or trade-offs beyond the raw formula.
- Decide whether Pipeline Review is a growth, retention, or efficiency signal before you set targets around it.
Where to use this on MetricKit
Guides
- Sales ops metrics hub: quota, pipeline, win rate, and capacity planning: A practical hub for sales ops planning: quota attainment, pipeline coverage, required pipeline, sales capacity with ramp, and OTE math.
- Pipeline coverage and sales cycle math: set realistic targets (and avoid sandbagging): A practical guide to pipeline coverage: connect quota, win rate, sales cycle length, and CAC/payback constraints to set realistic growth targets.