nimrodfisher

analysis-retrospective

Post-analysis learning and process improvement. Use when completing major analysis projects, documenting lessons learned, or improving team analytical practices.

nimrodfisher 133 26 Updated 4mo ago
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npx skillscat add nimrodfisher/data-analytics-skills/analysis-retrospective

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SKILL.md

Analysis Retrospective

Quick Start

This skill helps you post-analysis learning and process improvement.

Context Requirements

Before proceeding, I need:

  1. Completed analysis: Key information needed for this analysis
  2. Retrospective template: Key information needed for this analysis
  3. Learning repository: Key information needed for this analysis
  4. Action follow-up: 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 Completed analysis:

"To proceed with analysis retrospective, I need to understand completed analysis.

Please provide:

  • [Specific detail 1 about completed analysis]
  • [Specific detail 2 about completed analysis]
  • [Optional context that would help]"

For Retrospective template:

"To proceed with analysis retrospective, I need to understand retrospective template.

Please provide:

  • [Specific detail 1 about retrospective template]
  • [Specific detail 2 about retrospective template]
  • [Optional context that would help]"

For Learning repository:

"To proceed with analysis retrospective, I need to understand learning repository.

Please provide:

  • [Specific detail 1 about learning repository]
  • [Specific detail 2 about learning repository]
  • [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 analysis retrospective, I'll:

  1. Initial assessment - Review provided context and data
  2. Systematic execution - Follow structured methodology
  3. Quality checks - Validate intermediate results
  4. 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

Analysis Retrospective 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 analysis retrospective without providing context
→ Response: "I can help with analysis retrospective! 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.