Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
Sales Compensation Plan Designer
Design and optimize sales compensation plans including quota setting, OTE splits, accelerators, clawbacks, SPIFs, and multi-role structures for effective inc...
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Design and optimize sales compensation plans including quota setting, OTE splits, accelerators, clawbacks, SPIFs, and multi-role structures for effective inc...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
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Package facts
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- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md
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New install
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- 1kalin
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Documentation
Sales Compensation Plan Designer
Design, audit, and optimize sales compensation structures that actually drive the behavior you want. Covers quota setting, OTE splits, accelerators, clawbacks, SPIFs, and multi-role plan architectures.
When to Use
Designing comp plans for new sales roles (AE, SDR, CSM, SE, Channel) Auditing existing plans for misaligned incentives Modeling plan costs and quota coverage ratios Building accelerator/decelerator curves Comparing comp structures across industry benchmarks
Step 1: Role Classification
Classify the role before designing comp: Role TypeTypical OTEBase/Variable SplitQuota MultipleSDR/BDR$65K-$90K70/303-5x variableAE (SMB)$100K-$140K50/504-6x OTEAE (Mid-Market)$150K-$200K50/504-5x OTEAE (Enterprise)$200K-$300K+60/403-4x OTECSM/AM$90K-$130K65/354-6x variableSales Engineer$130K-$180K70/30Team-basedVP Sales$250K-$400K+55/452-3x OTEChannel/Partner$120K-$160K60/403-5x variable
Step 2: Quota Setting Methodology
Use bottom-up capacity model: TAM Analysis โ addressable market in territory Historical Performance โ trailing 4-quarter attainment distribution Ramp Adjustment โ new hires at 25/50/75/100% quota months 1-4 Coverage Ratio โ pipeline-to-quota (3x minimum for new business, 2x for expansion) Quota:OTE Ratio โ should be 4-6x. Below 3x = overpaying. Above 8x = nobody hits it. Red flags in quota setting: Top-down only (board target รท headcount) Same quota for all territories regardless of TAM No ramp period for new hires Changing quotas mid-quarter More than 60% of reps missing quota (plan problem, not people problem)
Step 3: Variable Compensation Design
Base Structure: Monthly Variable = (Attainment % ร Quota ร Commission Rate) Accelerator Tiers (recommended): AttainmentRate MultiplierRationale0-50%0.5xBelow threshold โ reduced payout50-80%0.8xApproaching target โ building momentum80-100%1.0xAt plan โ full commission rate100-120%1.3xAbove plan โ reward overperformance120-150%1.5xPresident's Club territory150%+1.8-2.0xUncapped or soft cap (model both) Commission Rate Benchmarks: New Business: 8-12% of ACV Expansion/Upsell: 4-8% of ACV Renewal: 1-3% of ACV Multi-year: 1.2-1.5x first-year rate
Step 4: Plan Component Mix
For complex plans, weight components: ComponentWeightMetricNew Logo Revenue50-60%New ACV closedExpansion Revenue20-30%Net expansion ACVStrategic Objective10-20%Product mix, multi-year, strategic accountsActivity Metrics0-10%Pipeline generated (SDRs only) Rule: Never more than 3 variable components. Complexity kills motivation.
Step 5: Clawback and Recovery Provisions
Standard terms: Churn clawback: Pro-rata recovery if customer churns within 6-12 months Non-payment clawback: Commission reversed if invoice unpaid >90 days Early termination: Unvested accelerators forfeit on voluntary departure Draw recovery: Unearned draws recovered from future commissions (max 2 quarters)
Step 6: SPIF Design (Short-term Incentive)
Use SPIFs for 2-4 week behavioral nudges: New product launch push ($500-$2,000 per deal) Quarter-end pipeline acceleration Competitive displacement bonus Multi-year contract premium SPIF rules: Max 4 per year (they lose impact if constant) Clear start/end dates Simple qualification (one metric) Immediate payout (within 2 weeks of close)
Step 7: Plan Cost Modeling
Model these scenarios before launching: Bear case: 40% of reps at 80% attainment โ total comp cost Base case: 60% at quota, 20% above, 20% below โ total comp cost Bull case: 80% at 110%+ attainment โ total comp cost (check for budget blow-up) Healthy ratios: Sales comp as % of revenue: 15-25% (SaaS) CAC payback: <18 months Quota:OTE: 4-6x Rep productivity: >$500K ACV/AE/year at maturity
Step 8: Annual Plan Audit Checklist
Score each item 1-10: โ Quota attainment distribution (bell curve centered at 100%?) โ Voluntary turnover of quota-carrying reps (<15%?) โ Time-to-ramp for new hires (meeting benchmark?) โ Deal size trends (growing or shrinking?) โ Discount depth (comp plan driving discounting?) โ Multi-year mix (incentive working?) โ Product mix (strategic products getting traction?) โ Comp cost as % of revenue (in healthy range?) โ Accelerator payouts (are top reps being rewarded enough?) โ Clawback frequency (too high = bad customers, too low = loose terms) Score interpretation: 80-100: Plan is working. Minor tweaks only. 60-79: 2-3 components need redesign. Below 60: Full plan overhaul needed.
2026 Benchmarks by Industry
IndustryAvg AE OTEBase/VarQuota:OTEAvg AttainmentSaaS$165K50/505x62%Fintech$185K55/454.5x58%Healthcare IT$155K55/455x65%Cybersecurity$175K50/504x60%AI/ML$190K50/504x55%Legal Tech$145K55/455.5x68%Construction Tech$135K55/456x70%Manufacturing$140K60/405.5x67%Professional Services$150K55/455x64%Real Estate Tech$130K55/456x72%
Common Mistakes
Capping commissions โ your best reps will leave for uncapped plans Quarterly resets with no floor โ creates sandbagging and feast/famine Too many metrics โ if reps can't calculate their own comp, the plan fails Equal quotas across unequal territories โ punishes reps in harder markets Changing plans mid-year โ destroys trust faster than anything else No accelerators โ linear plans don't motivate above-quota performance Ignoring ramp periods โ new hire attrition spikes when they can't earn early
AI-Era Adjustments (2026+)
Sales teams using AI agents for prospecting, qualification, and proposal generation are seeing: 30-40% increase in rep capacity (more pipeline per AE) SDR role compression (AI handles top-of-funnel โ SDR quotas need restructuring) Faster ramp times (AI-assisted onboarding cuts ramp by 30-45 days) Higher quota expectations (adjust gradually โ 10-15% annual increase, not 40% overnight) Comp plan implications: Shift SDR comp toward quality metrics (SQL conversion, not just meetings booked) Add AI adoption component (5-10% of variable tied to tool utilization) Model higher quotas with maintained OTE โ don't cut OTE when raising quotas Budget for AI tooling ($200-$500/rep/month) as sales cost, not IT cost Built by AfrexAI โ AI context packs for businesses that ship. Get your industry-specific AI strategy pack: https://afrexai-cto.github.io/context-packs/ ($47/pack) Calculate your AI revenue leak: https://afrexai-cto.github.io/ai-revenue-calculator/
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- README.md