
impact-quantification
by nimrodfisher
A comprehensive list of Claude skills for a wide range of data analytics tasks
SKILL.md
name: impact-quantification description: Estimate and communicate business impact of insights. Use when sizing opportunities discovered in analysis, calculating ROI of recommended actions, or prioritizing initiatives by potential impact.
Impact Quantification
Quick Start
This skill helps you estimate and communicate business impact of insights.
Context Requirements
Before proceeding, I need:
- Insight/recommendation: Key information needed for this analysis
- Impact categories: Key information needed for this analysis
- Sizing methodology: Key information needed for this analysis
- Discount rates: Key information needed for this analysis
- Impact thresholds: Key information needed for this analysis
Context Gathering
If any required context is missing from our conversation, I'll ask for it using these prompts:
For Insight/recommendation:
"To proceed with impact quantification, I need to understand insight/recommendation.
Please provide:
- [Specific detail 1 about insight/recommendation]
- [Specific detail 2 about insight/recommendation]
- [Optional context that would help]"
For Impact categories:
"To proceed with impact quantification, I need to understand impact categories.
Please provide:
- [Specific detail 1 about impact categories]
- [Specific detail 2 about impact categories]
- [Optional context that would help]"
For Sizing methodology:
"To proceed with impact quantification, I need to understand sizing methodology.
Please provide:
- [Specific detail 1 about sizing methodology]
- [Specific detail 2 about sizing methodology]
- [Optional context that would help]"
Handling Partial Context
If you can only provide some of the context:
- I'll proceed with what's available and note limitations
- I'll use industry standard defaults where appropriate
- I'll ask clarifying questions as needed during the analysis
Workflow
Step 1: Validate Context
Before starting, I'll confirm:
- All required context is available or has reasonable defaults
- The scope and objectives are clear
- Expected outputs align with your needs
Step 2: Execute Core Analysis
Following best practices for impact quantification, I'll:
- Initial assessment - Review provided context and data
- Systematic execution - Follow structured methodology
- Quality checks - Validate intermediate results
- Progressive disclosure - Share findings at logical checkpoints
Step 3: Synthesize Findings
I'll present results in a clear, actionable format:
- Key findings prioritized by importance
- Supporting evidence and visualizations
- Recommendations with implementation guidance
- Limitations and assumptions documented
Step 4: Iterate Based on Feedback
After presenting initial findings:
- Address questions and dive deeper where needed
- Refine analysis based on your feedback
- Provide additional context or alternative approaches
Context Validation
Before executing the full workflow, I verify:
- Context is sufficient for meaningful analysis
- No contradictions in provided information
- Scope is well-defined and achievable
- Expected outputs are clear
Output Template
Impact Quantification Analysis
Generated: [timestamp]
## Context Summary
- [Key context item 1]
- [Key context item 2]
- [Key context item 3]
## Methodology
[Brief description of approach taken]
## Key Findings
1. **Finding 1**: [Observation] - [Implication]
2. **Finding 2**: [Observation] - [Implication]
3. **Finding 3**: [Observation] - [Implication]
## Detailed Analysis
[In-depth analysis with supporting evidence]
## Recommendations
1. **Recommendation 1**: [Action] - [Expected outcome]
2. **Recommendation 2**: [Action] - [Expected outcome]
## Limitations & Assumptions
- [Limitation or assumption 1]
- [Limitation or assumption 2]
## Next Steps
1. [Suggested follow-up action 1]
2. [Suggested follow-up action 2]
Common Context Gaps & Solutions
Scenario: User requests impact quantification without providing context → Response: "I can help with impact quantification! To provide the most relevant analysis, I need [key context items]. Can you share [specific ask]?"
Scenario: Partial context provided → Response: "I have [available context]. I'll proceed with [what's possible] and will note where additional context would improve the analysis."
Scenario: Unclear objectives
→ Response: "To ensure my analysis meets your needs, can you clarify: What decisions will this inform? What format would be most useful?"
Scenario: Domain-specific terminology → Response: "I want to make sure I understand your terminology correctly. When you say [term], do you mean [interpretation]?"
Advanced Options
Once basic analysis is complete, I can offer:
- Deeper investigation - Drill into specific findings
- Alternative approaches - Different analytical lenses
- Sensitivity analysis - Test key assumptions
- Comparative analysis - Benchmark against alternatives
- Visualization options - Different ways to present findings
Just ask if you'd like to explore any of these directions!
Integration with Other Skills
This skill works well in combination with:
- [Related skill 1] - for [complementary analysis]
- [Related skill 2] - for [next step in workflow]
- [Related skill 3] - for [alternative perspective]
Let me know if you'd like to chain multiple analyses together.
スコア
総合スコア
リポジトリの品質指標に基づく評価
SKILL.mdファイルが含まれている
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100文字以上の説明がある
GitHub Stars 100以上
3ヶ月以内に更新がある
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
レビュー
レビュー機能は近日公開予定です