KPI Designer
KPI体系設計とOKR策定支援スキル。ビジネス目標に整合したKPI設計、バランススコアカード、OKRフレームワーク、 ダッシュボード設計を提供。SMART原則、リーディング/ラギング指標の選定を支援。 Use when designing KPI frameworks, implementing OKR methodology, or creating performance measurement systems. Triggers: “KPI design”, “OKR”, “performance metrics”, “balanced scorecard”, “dashboard design”, “measurement framework”.
No API Required
Download Skill Package (.skill) View Source on GitHub
Table of Contents
1. Overview
This skill provides expert guidance for designing comprehensive KPI frameworks and implementing OKR (Objectives and Key Results) methodologies. Aligns metrics with strategic objectives and creates actionable measurement systems.
Primary language: Japanese (default), English supported Frameworks: Balanced Scorecard, OKR, KPI Pyramid, SMART criteria Output format: KPI frameworks, OKR sheets, dashboard designs, metric definitions
2. Prerequisites
- Strategic objectives or business goals defined (or provided by user)
- Stakeholder context (industry, department, organizational level)
- Access to current metrics/data sources (optional, for baseline)
3. Quick Start
1. Gather Requirements ──→ 2. Design Framework ──→ 3. Define KPIs
│ │ │
▼ ▼ ▼
- Objectives - Select framework - SMART validation
- Industry context - BSC / OKR / Pyramid - Leading/Lagging mix
- Stakeholder level - Hierarchy design - Owner assignment
4. Generate Deliverables ──→ 5. Review & Refine
│ │
▼ ▼
- KPI Framework Doc - Stakeholder feedback
- OKR Template - Alignment check
- Dashboard Spec - Data feasibility
4. How It Works
1. Gather Requirements ──→ 2. Design Framework ──→ 3. Define KPIs
│ │ │
▼ ▼ ▼
- Objectives - Select framework - SMART validation
- Industry context - BSC / OKR / Pyramid - Leading/Lagging mix
- Stakeholder level - Hierarchy design - Owner assignment
4. Generate Deliverables ──→ 5. Review & Refine
│ │
▼ ▼
- KPI Framework Doc - Stakeholder feedback
- OKR Template - Alignment check
- Dashboard Spec - Data feasibility
Quick Start Example
```bash
Generate a KPI framework document
python3 scripts/generate_kpi_framework.py
–objectives “Increase revenue 20%, Improve customer satisfaction, Reduce churn”
–industry “SaaS”
–level “Company” \
See the skill’s SKILL.md for the full end-to-end workflow.
5. Usage Examples
- Designing KPI frameworks for organizations or departments
- Implementing OKR methodology
- Creating balanced scorecards
- Designing performance dashboards
- Aligning metrics with strategy
- Improving data-driven decision making
6. Understanding the Output
| Deliverable | Format | Description |
|---|---|---|
| KPI Framework Document | Markdown | Hierarchical KPI structure with definitions |
| OKR Template | Markdown | Quarterly OKR sheet with check-in format |
| Dashboard Design Spec | Markdown | Layout, chart types, drill-down design |
| KPI Validation Report | Markdown | SMART criteria assessment per KPI |
7. Tips & Best Practices
- Begin with the smallest realistic sample input so you can validate the workflow before scaling up.
- Keep
skills/kpi-designer/SKILL.mdopen while working; it remains the authoritative source for the full procedure. - Review the most relevant reference files first instead of scanning every guide: industry-kpis.md, kpi-methodology.md.
- Run helper scripts on test data before using them on final assets or production-bound inputs: generate_kpi_framework.py.
- Preserve intermediate outputs so you can explain assumptions, diffs, and follow-up actions clearly.
8. Combining with Other Skills
- Combine this skill with adjacent skills in the same category when the work spans planning, implementation, and review.
- Browse the broader category for neighboring workflows: category index.
- Use the English skill catalog when you need to chain this workflow into a larger end-to-end process.
9. Troubleshooting
- Re-check prerequisites first: missing runtime dependencies and unsupported file formats are the most common failures.
- If a helper script is involved, run it with a minimal sample input before applying it to a full dataset or repository.
- Compare your input shape against the reference files to confirm expected fields, sections, or metadata are present.
- When output looks incomplete, inspect the script arguments and rerun with explicit input/output paths.
10. Reference
References:
skills/kpi-designer/references/industry-kpis.mdskills/kpi-designer/references/kpi-methodology.md
Scripts:
skills/kpi-designer/scripts/generate_kpi_framework.py