How do we right-size rep capacity and assign quota without guessing?
Use three inputs: historical productivity (ramp curve), territory size (accounts/pipeline), and geography/segment complexity. Assign quota at 85–95% of forecasted capacity to drive execution without burnout. Recalibrate quarterly.
Operator Approach
Capacity planning is math + behavior. Start with productivity curves:
Rep Ramp Data (typical SaaS):
- Months 1–2: 40–50% productivity
- Months 3–4: 70–80% productivity
- Months 5+: 95–110% productivity (full ramped)
Once ramped, measure quota-carrying capacity by historical close rate × average deal size × territory pipeline.
Example:
- 30 accounts in territory, $150K avg contract value
- Historical close rate: 25% (6 deals/quarter)
- Ramped capacity: 6 deals × $150K = $900K quarterly
- Quota assignment: $850K (94% capacity) leaves 6% buffer for ramp variance
Red flags (over-quotaed reps):
- Attainment < 60% for 2+ quarters
- Activity ratios dropping (dials, meetings, proposals)
- Turnover above 15%/year
- Forecast accuracy < 65%
Capacity table:
| Territory Type | Accounts | Avg ACV | Close Rate | Quarterly Quota | Buffer |
|---|---|---|---|---|---|
| Enterprise | 12–15 | $500K+ | 20% | $1.2–1.5M | 10% |
| Mid-market | 25–35 | $150–250K | 25% | $750K–$1M | 8% |
| SMB | 60–100 | $30–50K | 35% | $600–800K | 5% |
Mermaid: Capacity Assignment Decision Tree
Sources: Pavilion Compensation Study, Bridge Group Territory Benchmarks, SaaStr Quota Setting Guide
TAGS: capacity-planning,quota-assignment,territory-design,ramp-curve,attainment-analysis,productivity-metrics,forecast-accuracy
FAQ
What three inputs drive right-sizing rep capacity? The three inputs are historical productivity (the ramp curve), territory size (accounts and pipeline), and geography or segment complexity. Quota is then assigned at 85 to 95% of forecasted capacity and recalibrated quarterly.
What does a typical SaaS rep ramp curve look like? Months 1 to 2 are 40 to 50% productivity, months 3 to 4 are 70 to 80%, and months 5+ reach 95 to 110% as fully ramped. Capacity planning has to account for this curve rather than assuming full output from day one.
Can you walk through the worked capacity example? A territory of 30 accounts at $150K average contract value with a 25% historical close rate yields 6 deals per quarter, or $900K of ramped capacity. Assigning $850K quota leaves a 6% buffer for ramp variance.
What red flags signal a rep has been over-quotaed? The red flags are attainment under 60% for 2+ quarters, dropping activity ratios on dials, meetings, and proposals, turnover above 15% per year, and forecast accuracy under 65%.
How does recommended quota differ across territory types? Enterprise reps carry 12 to 15 accounts at $500K+ ACV with a 20% close rate and a $1.2 to 1.5M quota at a 10% buffer. Mid-market reps carry 25 to 35 accounts for a $750K to $1M quota, while SMB reps carry 60 to 100 accounts for a $600 to 800K quota at a 5% buffer.