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).
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_sales_cycle
Type: Text
Domain: Sales
Definition
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.
Formula
Container — three-slot composite. lastQuarter and thisQuarter slots = average sales cycle in days (sales.avg_sales_cycle_days for that period). improvement = (lastQuarter − thisQuarter) / lastQuarter × 100 (positive = cycle compressed = better). When deal-size mix changes materially, the slots should be ACV-segmented separately and the improvement read per segment.Why it matters
Cycle compression compounds dramatically — a 20% reduction in cycle time roughly translates to a 20% capacity increase for the same headcount. Cycle expansion does the inverse and usually predicts future-period coverage stress.
How to interpret
Cycle compression of 10%+ QoQ at constant ACV mix is a strong signal that ICP / pricing / sales-process changes are working. Expansion of 20%+ at constant mix is the canonical "something is broken in the buyer journey" signal — usually procurement, security, or competitive friction worth a stage-by-stage diagnosis.
Related KPIs
sales.avg_sales_cycle_dayssales.pipeline_stage_metricssales.avg_contract_valuesales.win_ratesales.pipeline_value
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 | Recommended |
| Series B | Recommended |
| Series C+ | Recommended |
| Public | Recommended |
Suggested for stages: Series A, Series B, Series C+, Public.
Default owning functions
- Sales
Machine-readable
- This KPI as JSON:
/api/ontology/sales/pipeline_sales_cycle.json - All Sales KPIs:
/api/ontology/sales.json - Full catalog:
/api/ontology/index.json
Pipeline Risk Factors
Narrative listing the material risks to pipeline conversion or deal timing — specific deal slips, segment headwinds, budget freezes, competitive entry, ICP-fit misses on late-stage deals. Distinct from sales.key_concerns (which covers the whole sales motion) — this is specifically about the forecast / pipeline conversion math. Common pitfall: vague risks ("market is choppy") aren't actionable; a useful entry quantifies the at-risk dollar amount and names specific deals or segments. Renders side-by-side with sales.pipeline_assumptions in the TwoColumnTextarea widget. — Sales KPI, I'mBoard-authored (editorial tier).
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).