analysis-qa-checklist

nimrodfisher's avatarfrom nimrodfisher

Pre-delivery quality assurance for analysis work. Use when reviewing analysis before sharing with stakeholders, checking for completeness, validating assumptions, or ensuring clarity of recommendations.

⭐0starsšŸ”€0forksšŸ“View on GitHubšŸ•Updated Jan 11, 2026

When & Why to Use This Skill

The Analysis QA Checklist skill is a specialized quality assurance tool designed to audit and refine analytical work before it reaches stakeholders. It provides a structured framework to verify data completeness, validate underlying assumptions, and ensure that recommendations are clear, logical, and actionable, thereby increasing the reliability and professional impact of business reports.

Use Cases

  • Final Review: Use this skill to perform a comprehensive audit of business intelligence reports to ensure all data points are verified and conclusions are logically sound before a major presentation.
  • Assumption Validation: Apply the checklist to technical or financial models to identify and document hidden assumptions, ensuring the analysis stands up to rigorous stakeholder scrutiny.
  • Clarity Enhancement: Utilize the skill to refine the language and structure of complex research findings, making sure the 'so-what' and next steps are easily understood by non-technical audiences.
nameanalysis-qa-checklist
descriptionPre-delivery quality assurance for analysis work. Use when reviewing analysis before sharing with stakeholders, checking for completeness, validating assumptions, or ensuring clarity of recommendations.

Analysis Qa Checklist

Quick Start

This skill helps you pre-delivery quality assurance for analysis work.

Context Requirements

Before proceeding, I need:

  1. Analysis to review: Key information needed for this analysis
  2. QA checklist: Key information needed for this analysis
  3. Peer review process: Key information needed for this analysis
  4. Sign-off requirements: 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 Analysis to review:

"To proceed with analysis qa checklist, I need to understand analysis to review.

Please provide:

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

For QA checklist:

"To proceed with analysis qa checklist, I need to understand qa checklist.

Please provide:

  • [Specific detail 1 about qa checklist]
  • [Specific detail 2 about qa checklist]
  • [Optional context that would help]"

For Peer review process:

"To proceed with analysis qa checklist, I need to understand peer review process.

Please provide:

  • [Specific detail 1 about peer review process]
  • [Specific detail 2 about peer review process]
  • [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 qa checklist, 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 Qa Checklist 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 qa checklist without providing context → Response: "I can help with analysis qa checklist! 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.

analysis-qa-checklist – AI Agent Skills | Claude Skills