Answer 8 questions about your pipeline hygiene and CRM analytics. Get a pipeline health score and fix checklist in under 2 minutes.
What it does
Evaluates the overall health of your sales pipeline by scoring coverage ratio, deal age, stage distribution, velocity, and forecast accuracy to identify risks before they become misses.
Why it matters
80% of forecasting errors come from unhealthy pipelines. A pipeline health check reveals hidden risks — stalled deals, unbalanced stages, and coverage gaps — before quarter-end.
Definition
Pipeline health is a composite score measuring whether your pipeline has enough qualified deals, at the right stages, moving at the right speed to meet your revenue target.
Assumptions
How to interpret your results
Scores above 80 indicate a healthy pipeline. Below 60 requires immediate action. Look at individual dimensions to find the specific weak point.
How to improve
Clean stalled deals weekly
Move or close deals that haven't progressed in 2+ weeks
Maintain 3x coverage
If your quota is $100K, you need $300K+ in active pipeline
Balance stage distribution
Too many deals in early stages with none in late stages means a gap is coming
1. How often do you update deal stages?
2. Do you remove stale deals (>90 days no activity)?
3. Are deal amounts accurate and up-to-date?
4. Do all deals have a next step or task assigned?
5. How is your pipeline coverage ratio (pipeline ÷ target)?
6. Do you track reasons for lost deals?
7. Are contacts linked to the correct accounts?
8. Do you have a weekly pipeline review cadence?
Move beyond manual health checks. HelloGrowthCRM monitors deal health in real-time and alerts your team when stages get stale.
These deeper RevOps articles explain how to turn pipeline inspection into a weekly operating rhythm with cleaner dashboards, fewer funnel leaks, and stronger forecast reviews.
The Pipeline Health Score grades your sales pipeline from A to F across five dimensions: coverage ratio, stage distribution, deal velocity, stale deals, and win rate. Instead of judging your pipeline by its total value — which hides most problems — it checks whether that value is spread sensibly, moving forward, and likely to convert.
This matters for small businesses because pipeline problems are invisible until they become revenue problems. A pipeline can look full while half its value sits in deals nobody has touched in a month. Scoring the pipeline turns a gut feeling of "things seem fine" into a specific grade with a specific weakest dimension you can fix this week, not next quarter.
Pull total open pipeline value, quota, deal counts per stage, last-activity dates, and recent win rate from your CRM or tracking sheet.
Work through each dimension. Be honest about stale deals — counting a dead deal as alive only inflates your grade, not your revenue.
Read the A-F grade, then focus on the single lowest-scoring dimension. One targeted fix moves the overall grade more than shallow effort on all five.
Your pipeline fundamentals are sound. Protect them: keep the prospecting cadence that built this coverage, and re-score monthly so slippage shows up as a trend line before it shows up in missed quota.
Usually one dimension is dragging the rest down — often stale deals or a bulge of deals stuck in one stage. Identify that dimension and run a focused two-week cleanup rather than a full pipeline overhaul.
The pipeline cannot support the quota it is meant to feed. Start with triage: remove or re-engage every stale deal so you see the real pipeline, then rebuild coverage with a weekly new-deal target. AI deal-risk alerts in HelloGrowthCRM flag drifting deals before they go stale again.
Total pipeline value looked strong for three straight quarters, yet forecasts kept slipping. The health score returned a D driven by stale deals — a third of pipeline value had no activity in weeks. The owner purged and re-engaged, and the next forecast was built only on deals that were actually moving.
Before adding a second salesperson, the founder scored the pipeline and found coverage healthy but stage distribution bottom-heavy: plenty of new leads, few late-stage deals. He delayed the hire and spent the quarter fixing mid-pipeline follow-up instead — a cheaper fix than a salary.