Pipeline Stage Metrics
Container handle for the per-stage pipeline metrics grid — for each pipeline stage (qualification, discovery, evaluation, proposal, negotiation, closing) tracks dealCount, totalValue, closingProbability, winRateFromStage, and avgTimeToClose. The most diagnostic surface in the pipeline view: where deals are bunching, which stage is the bottleneck, where conversion math is breaking. Rendered via the StageMetricsGrid widget seeded from PipelineStageValues. Common pitfall: trusting unchanged stage probabilities even as the deal mix shifts — re-calibrate the per-stage close rates quarterly against actuals or the weighted forecast drifts unreliably. — Sales KPI, I'mBoard-authored (editorial tier).
I'mBoard-authored (editorial tier)
No public third-party standard anchors this KPI yet, so I'mBoard authors and maintains the definition — transparently labeled as editorial tier. See the ontology methodology for the published vs editorial tier system and the back-attribution workstream.
Rogue ID: sales.pipeline_stage_metrics
Type: Text
Domain: Sales
Definition
Container handle for the per-stage pipeline metrics grid — for each pipeline stage (qualification, discovery, evaluation, proposal, negotiation, closing) tracks dealCount, totalValue, closingProbability, winRateFromStage, and avgTimeToClose. The most diagnostic surface in the pipeline view: where deals are bunching, which stage is the bottleneck, where conversion math is breaking. Rendered via the StageMetricsGrid widget seeded from PipelineStageValues. Common pitfall: trusting unchanged stage probabilities even as the deal mix shifts — re-calibrate the per-stage close rates quarterly against actuals or the weighted forecast drifts unreliably.
Formula
Container — no scalar calculation. Per-stage rows: dealCount and totalValue are direct sums; closingProbability is the empirical historical close rate from that stage; winRateFromStage is the historical win rate of opportunities that reached that stage; avgTimeToClose is the average days from stage entry to close-won. Closing probabilities should be back-tested against actuals every 1–2 quarters and updated explicitly.Why it matters
Localizes pipeline problems to specific stages — flat pipeline value with a stage-2 buildup means lead-qualification is too loose; stage-5 stall means closing-skill or pricing-objection issues. Without this surface, the weighted forecast is opaque.
How to interpret
Look for stage where deal count is bunching disproportionately — that is the current bottleneck. Compare win-rate-from-stage at the entry stage (top of funnel) vs late stages: large gaps imply the team is investing time on low-probability deals. The avgTimeToClose by stage should monotonically decrease (later stage = closer to close); if not, stage definitions are likely misaligned with actual buyer behavior.
Related KPIs
sales.pipeline_valuesales.pipeline_deal_countsales.weighted_forecastsales.win_ratesales.avg_sales_cycle_dayssales.pipeline_sales_cycle
Source
I'mBoard editorial — authored and maintained by I'mBoard, first published 2026-04-01. No third-party standard is cited for this KPI; when one emerges, the definition is back-attributed and promoted to the published tier (a minor version bump). Read the ontology methodology for the published vs editorial tier system, attribution rules, and dispute process.
Stage relevance
| Company stage | Priority |
|---|---|
| Series A | Core |
| Series B | Core |
| Series C+ | Core |
| Public | Core |
Suggested for stages: Series A, Series B, Series C+, Public.
Default owning functions
- Sales
Machine-readable
- This KPI as JSON:
/api/ontology/sales/pipeline_stage_metrics.json - All Sales KPIs:
/api/ontology/sales.json - Full catalog:
/api/ontology/index.json
Sales Cycle Quarter-to-Quarter
Container handle for the three-section quarter-over-quarter compare object that tracks average days-to-close trend (lastQuarter / thisQuarter / improvement). Renders via the QuarterToQuarterImprovementGrid widget with three slots. The "is the motion getting faster or slower" diagnostic — cycle length trend is one of the most reliable leading indicators of ICP fit and packaging quality. Common pitfall: comparing without controlling for deal-size mix — if up-market mix is shifting, a flat cycle is actually an improvement (because up-market cycles are inherently longer). Note the mix context in commentary if material. — Sales KPI, I'mBoard-authored (editorial tier).
Pipeline Value
Sum of the dollar value of all active deals currently in the sales pipeline — unweighted (raw deal-value sum, not probability-weighted). Boards read this as the top-of-funnel sufficiency check: if pipeline coverage (pipeline value / forecast) drops below the historic conversion-rate-implied threshold, the forecast is at risk. Common pitfall: confusing pipeline value with weighted forecast — the unweighted number always exceeds the weighted, often by 3–5× depending on the stage mix. Always report both and the implied conversion ratio. — Sales KPI, I'mBoard-authored (editorial tier).