This assessment evaluates the maturity of a company's sales process across six critical dimensions: pipeline management, forecasting accuracy, CRM utilization, sales methodology adoption, lead qualification rigor, and sales-marketing alignment. The output is a composite maturity score (1-5) that identifies the weakest links in the revenue engine and routes to specific improvement playbooks. [src1]
What this measures: How effectively the team creates, progresses, and manages opportunities through defined stages with consistent criteria.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | No defined pipeline stages; reps use CRM inconsistently | Opportunities sit in same stage for weeks; no pipeline reviews |
| 2 | Emerging | Basic stages defined but exit criteria vague or unenforced | Some reps follow stages, others skip; reviews monthly at best |
| 3 | Defined | Clear stage definitions with documented exit criteria; weekly reviews | All reps use same definitions; stale deals flagged after 2x cycle |
| 4 | Managed | Exit criteria enforced via CRM validation; velocity tracked by stage | Automated alerts for stalled deals; stage conversion dashboards |
| 5 | Optimized | AI-assisted pipeline scoring; dynamic stage weighting; predictive alerts | Deal scoring updates automatically; anomaly detection active |
Red flags: Opportunities jump from early stage to Closed Won; 30%+ pipeline created in final month of quarter. [src2]
What this measures: The reliability of revenue predictions and rigor of forecasting methodology.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | Gut-feel forecasts; variance exceeds 40% | Manager aggregates verbal answers; no accuracy tracking |
| 2 | Emerging | Weighted pipeline forecasting; variance 25-40% | Excel-based roll-ups; category definitions vary |
| 3 | Defined | Structured categories; multi-layer review; variance 15-25% | Weekly forecast calls; accuracy tracked quarterly |
| 4 | Managed | Statistical models supplement judgment; variance 10-15% | CRM-native AI forecasting; scenario modeling active |
| 5 | Optimized | AI-driven forecasting at 90-95% accuracy; real-time updates | AI ingests CRM, email, calendar data; 5-10% variance |
Red flags: Forecast accuracy not tracked; hockey-stick closings in final week; same deals in forecast 3+ quarters. [src4]
What this measures: How completely the CRM captures sales activity and how effectively data drives decisions.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | CRM as contact database only; minimal activity logging | Reports from spreadsheets; leadership ignores CRM |
| 2 | Emerging | Opportunities tracked but with data gaps; 40-60% field completion | Basic reporting unreliable; managers spot-check |
| 3 | Defined | System of record; 80%+ field completion; auto-captured activity | Standard reports from CRM; monthly data quality audits |
| 4 | Managed | Integrated with marketing, support, finance; data governance active | Single customer view; automated enrichment; hygiene scores |
| 5 | Optimized | Revenue intelligence platform; AI insights; predictive scoring | Auto-generated next-best-actions; conversational analytics |
Red flags: Reps maintain personal spreadsheets; field completion below 60%; no CRM-email integration. [src5]
What this measures: Whether the team follows a defined, consistent sales methodology embedded in daily selling.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | No defined methodology; tribal knowledge dominates | No documented process; onboarding is shadowing |
| 2 | Emerging | Methodology selected but adoption low; one-time training | Less than 30% of reps can articulate the methodology |
| 3 | Defined | Methodology in CRM; used in pipeline reviews; 60-80% adoption | Qualification fields required; managers reference in reviews |
| 4 | Managed | Compliance tracked; coaching tied to methodology | Adherence correlated with win rates; new hires certified |
| 5 | Optimized | Continuously refined from data; AI prompts on methodology gaps | Data-driven updates; segment-specific variants |
Red flags: Team cannot name their methodology; qualification criteria not in CRM; no win/loss analysis. [src2]
What this measures: Rigor of lead qualification from marketing through SDR to AE, including handoff processes.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | No lead scoring; MQLs dumped to AEs without qualification | AEs complain about quality; no SDR function |
| 2 | Emerging | Basic scoring; SDR qualifies inbound inconsistently; <15% conversion | Demographics-only scoring; no SLA on follow-up time |
| 3 | Defined | SDR with documented criteria; SLA for response; 18-22% conversion | BANT/MEDDPICC adapted; respond to MQLs within 4 hours |
| 4 | Managed | Multi-signal scoring; structured CRM handoff; conversion by source | Intent data in scoring; recorded discovery notes in handoff |
| 5 | Optimized | AI-driven prioritization; dynamic routing; 25-35% conversion | Real-time AI scoring and routing; continuous model retraining |
Red flags: No documented qualification criteria; lead response >24 hours; AEs reject 40%+ of SDR leads. [src6]
What this measures: How effectively sales and marketing operate as a coordinated revenue team with shared goals.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | Sales and marketing operate independently; mutual blame | No joint meetings; no shared metrics |
| 2 | Emerging | Some shared definitions; occasional joint meetings | Quarterly alignment; marketing pipeline tracked loosely |
| 3 | Defined | Formal SLA; shared funnel definitions; joint pipeline reviews | Written SLA; monthly joint reviews; shared dashboard |
| 4 | Managed | Integrated revenue team; closed-loop reporting; stage-specific content | Shared revenue target; attribution model agreed and trusted |
| 5 | Optimized | Unified RevOps; real-time campaign-to-revenue visibility; ABM orchestration | Single RevOps leader; predictive campaign optimization |
Red flags: Sales does not use marketing content; no shared definition of qualified lead; pipeline meetings are sales-only. [src3]
Formula: Overall Score = (Pipeline + Forecasting + CRM + Methodology + Lead Qual + Alignment) / 6
| Overall Score | Maturity Level | Interpretation | Next Step |
|---|---|---|---|
| 1.0 - 1.9 | Critical | Revenue growth is accidental; scaling will create chaos | CRM foundations + basic pipeline stages |
| 2.0 - 2.9 | Developing | Process exists in pockets but is inconsistent | Standardize lowest-scoring dimension first |
| 3.0 - 3.9 | Competent | Solid foundations; ready for data-driven optimization | Revenue intelligence tooling; pipeline diagnostic |
| 4.0 - 4.5 | Advanced | High-performing revenue machine; marginal gains focus | AI-powered forecasting; advanced ABM |
| 4.6 - 5.0 | Best-in-class | Industry-leading sales operations | Maintain excellence; evaluate emerging AI quarterly |
| Segment | Expected Average | "Good" Threshold | "Alarm" Threshold |
|---|---|---|---|
| Seed/Series A (<$2M ARR) | 1.8 | 2.5 | 1.2 |
| Series B ($2M-$15M ARR) | 2.7 | 3.3 | 2.0 |
| Growth ($15M-$100M ARR) | 3.4 | 4.0 | 2.5 |
| Scale/Public ($100M+ ARR) | 4.0 | 4.5 | 3.2 |
[src3]
Fetch when a user asks to evaluate their sales process, diagnose why revenue is plateauing, prepare for a board-level operational review, or onboard a new sales leader who needs to baseline the current state.