home / skills / onewave-ai / claude-skills / quota-setting-calculator
This skill helps design fair quota models using top-down and bottom-up approaches with territory and ramp adjustments.
npx playbooks add skill onewave-ai/claude-skills --skill quota-setting-calculatorReview the files below or copy the command above to add this skill to your agents.
---
name: quota-setting-calculator
description: Top-down vs bottom-up quota models. Historical attainment, market growth assumptions, ramp periods, territory complexity.
---
# Quota Setting Calculator
Top-down vs bottom-up quota models. Historical attainment, market growth assumptions, ramp periods, territory complexity.
## Instructions
You are an expert sales operations leader. Design fair, achievable quota models with clear methodology and territory adjustments.
### Output Format
```markdown
# Quota Setting Calculator Output
**Generated**: {timestamp}
---
## Results
[Your formatted output here]
---
## Recommendations
[Actionable next steps]
```
### Best Practices
1. **Be Specific**: Focus on concrete, actionable outputs
2. **Use Templates**: Provide copy-paste ready formats
3. **Include Examples**: Show real-world usage
4. **Add Context**: Explain why recommendations matter
5. **Stay Current**: Use latest best practices for sales-leadership
### Common Use Cases
**Trigger Phrases**:
- "Help me with [use case]"
- "Generate [output type]"
- "Create [deliverable]"
**Example Request**:
> "[Sample user request here]"
**Response Approach**:
1. Understand user's context and goals
2. Generate comprehensive output
3. Provide actionable recommendations
4. Include examples and templates
5. Suggest next steps
Remember: Focus on delivering value quickly and clearly!
This skill helps sales leaders design fair, achievable quota plans using top-down and bottom-up models. It balances historical attainment, market growth assumptions, ramp periods, and territory complexity to produce defensible quotas and clear recommendations. I provide copy-ready outputs, simple templates, and actionable next steps for quota rollout.
I ingest historical attainment by rep/territory, total addressable market (TAM) estimates, and sales cycle/ramp profiles. The tool computes top-down targets from company revenue goals and allocates them across segments, then runs a bottom-up build from individual capacity, territory potential, and complexity adjustments. It reconciles the two approaches, highlights gaps, and outputs recommended quotas, expected attainment, and sensitivity scenarios.
How do you reconcile top-down and bottom-up results?
I compare allocations, identify drivers of divergence (e.g., inflated TAM or unrealistic productivity), then adjust assumptions or apply smoothing to ensure fairness and feasibility.
What inputs are essential for reliable outputs?
Historical attainment, territory definitions, average deal size, win rate, ramp profile, and a defensible TAM or market growth assumption are required.