research-analysis

Context

This skill provides a structured approach to conducting systematic research, analyzing information, and synthesizing findings into actionable insights. It ensures research is thorough, well-documented, and focused on answering specific questions or solving particular problems.

When to Use

Information Gathering:

• Trigger: "Research X topic" or "Gather information on Y"
• Use Case: Building knowledge base for documentation or strategy

Problem Investigation:

• Trigger: "Investigate issue" or "Analyze problem"
• Use Case: Understanding root causes and finding solutions

Evidence Synthesis:

• Trigger: "Synthesize findings" or "Analyze research data"
• Use Case: Combining multiple sources into coherent insights

Competitive Analysis:

• Trigger: "Analyze competitors" or "Research market"
• Use Case: Understanding landscape and positioning

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Execution Steps

Step 1: Define Research Objectives

Purpose: Clarify what questions need answering and what decisions will be informed.

Objective Definition:

1. Primary Research Question:

   • What specific question are we answering?
   • What decision will this research inform?
   • Who is the audience for this research?

2. Secondary Questions:

   • What sub-questions need answering?
   • What context is needed?
   • What are the key variables or factors?

3. Success Criteria:

   • What does "complete research" look like?
   • What evidence level is required?
   • What format should findings take?

Validation:

• Objectives are specific and measurable
• Success criteria are defined upfront
• Research scope is achievable

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Step 2: Research Planning

Purpose: Create systematic approach to information gathering.

Research Strategy:

1. Information Sources:

   • Primary sources (original documents, data, interviews)
   • Secondary sources (analyses, reviews, summaries)
   • Tertiary sources (textbooks, encyclopedias)
   • Domain-specific sources (academic papers, technical docs)

2. Search Strategy:

   • Keywords and search terms
   • Databases or platforms to search
   • Inclusion/exclusion criteria
   • Time period restrictions (if applicable)

3. Data Collection Plan:

   • What data points to collect
   • How to organize findings
   • Tools for tracking sources
   • Note-taking format

Output: Research plan with sources, search terms, and collection method

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Step 3: Information Gathering

Purpose: Collect relevant information systematically.

Collection Methods:

1. Literature Review:

   • Academic databases (Google Scholar, IEEE Xplore, etc.)
   • Industry reports and white papers
   • Technical documentation and specifications
   • Books and reference materials

2. Web Research:

   • Reputable websites and sources
   • Industry blogs and publications
   • Expert forums and communities
   • Vendor documentation

3. Data Collection:

   • Statistics and metrics
   • Case studies and examples
   • Expert opinions and quotes
   • Benchmarks and comparisons

Quality Criteria:

• Source credibility (author expertise, publication reputation)
• Information currency (publication date, last updated)
• Evidence quality (peer-reviewed, primary sources preferred)
• Relevance to research questions

Output: Organized collection of sources with notes and excerpts

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Step 4: Critical Analysis

Purpose: Evaluate information quality and extract key insights.

Analysis Framework:

1. Source Evaluation:

   • Author credibility and expertise
   • Publication bias or conflicts of interest
   • Methodology quality (for research studies)
   • Sample size and representativeness

2. Information Synthesis:

   • Identify patterns across sources
   • Note areas of agreement/disagreement
   • Extract key findings and data points
   • Highlight gaps in knowledge

3. Quality Assessment:

   • Strength of evidence (strong, moderate, weak)
   • Reliability of findings
   • Applicability to research questions
   • Limitations and caveats

Analysis Techniques:

• Comparative analysis (comparing sources)
• Thematic analysis (identifying themes)
• Gap analysis (finding missing information)
• Strength-of-evidence assessment

Output: Analyzed findings with quality ratings and key insights

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Step 5: Synthesis and Insights

Purpose: Combine findings into coherent, actionable insights.

Synthesis Process:

1. Pattern Recognition:

   • Common themes across sources
   • Recurring recommendations
   • Consistent data points
   • Emerging trends

2. Key Findings:

   • Top 3-5 most important insights
   • Supporting evidence for each finding
   • Confidence level in each finding
   • Implications and applications

3. Knowledge Gaps:

   • Questions that remain unanswered
   • Areas needing further research
   • Limitations of current knowledge
   • Recommendations for additional investigation

4. Actionable Insights:

   • What decisions can be made now?
   • What additional information is needed?
   • What are the recommended next steps?
   • What are the risk factors or considerations?

Output: Synthesis report with findings, insights, and recommendations

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Step 6: Documentation

Purpose: Create clear, usable documentation of research process and findings.

Documentation Structure:

1. Research Summary:

   • Research objectives and questions
   • Methodology and sources used
   • Key findings (executive summary)
   • Main conclusions and recommendations

2. Detailed Findings:

   • Organized by theme or question
   • Supporting evidence for each finding
   • Source references and citations
   • Data visualizations (charts, graphs if applicable)

3. Appendices:

   • Complete source list with URLs
   • Data tables and raw information
   • Methodology details
   • Quality assessment notes

4. Recommendations:

   • Action items based on findings
   • Areas requiring further investigation
   • Confidence levels for recommendations
   • Timeline considerations

Documentation Best Practices:

• Clear section headers and organization
• In-text citations for all claims
• Bibliography or reference list
• Date of research and sources
• Clear indication of evidence strength

Output: Complete research report with findings, sources, and recommendations

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Output Format

For Research Tasks:

• Research objectives and questions defined
• Systematic information collection
• Critical analysis of sources
• Synthesized findings with evidence
• Actionable recommendations

For Analysis Tasks:

• Evaluated information quality
• Identified patterns and insights
• Assessed evidence strength
• Highlighted knowledge gaps
• Provided clear conclusions

For Investigation Tasks:

• Root cause analysis
• Evidence-based explanations
• Multiple hypotheses evaluated
• Recommended solutions with rationale
• Implementation considerations

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Best Practices

Research Quality: ✅ Do:

• Start with clear research questions
• Use multiple, credible sources
• Evaluate source quality and bias
• Document methodology and sources
• Distinguish between strong and weak evidence

❌ Don't:

• Accept information at face value
• Rely on single sources
• Ignore source credibility
• Skip documentation methodology
• Treat all evidence as equal

Analysis Quality: ✅ Do:

• Look for patterns across sources
• Identify areas of agreement/disagreement
• Assess evidence strength critically
• Acknowledge limitations and gaps
• Provide confidence levels

❌ Don't:

• Cherry-pick supporting evidence
• Ignore contradictory information
• Overstate confidence in findings
• Draw conclusions beyond evidence
• Make claims without support

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Common Mistakes to Avoid

Research Anti-Patterns:

1. Confirmation Bias: Only seeking information that supports pre-existing beliefs
2. Source Neglect: Failing to evaluate source credibility or currency
3. Scope Creep: Expanding research beyond original objectives
4. Analysis Paralysis: Getting stuck in endless research without synthesis
5. Documentation Debt: Failing to document sources and methodology

Analysis Anti-Patterns:

1. False Equivalence: Treating weak evidence equal to strong evidence
2. Overgeneralization: Drawing broad conclusions from limited data
3. Citation Neglect: Failing to properly attribute sources
4. Methodology Omission: Not documenting how research was conducted
5. Gap Ignorance: Failing to acknowledge limitations in knowledge

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Related Skills

• documentation-writing: For documenting research findings
• technical-writing: For creating technical research reports
• critical-thinking: For evaluating information quality
• data-analysis: For working with quantitative data

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Research Tools and Techniques

Source Evaluation:

• CRAAP test (Currency, Relevance, Authority, Accuracy, Purpose)
• SIFT method (Stop, Investigate, Find, Trace)
• Evidence hierarchy (primary > secondary > tertiary)

Synthesis Techniques:

• Thematic analysis
• Comparative analysis
• Meta-analysis (for quantitative research)
• Narrative synthesis (for qualitative research)

Documentation Tools:

• Citation managers (Zotero, Mendeley)
• Note-taking apps (Notion, Obsidian)
• Reference management tools
• Bibliography generators