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custom-skills/31-ourdigital-research/code/references/research-frameworks.md

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+# Research Frameworks
+
+## Framework Selection Guide
+
+| Topic Type | Framework | Best For |
+|------------|-----------|----------|
+| Trend analysis | STEEP + Timeline | Industry shifts, emerging tech |
+| Problem-solution | Problem Tree | Pain points, how-to guides |
+| Comparison | Feature Matrix | Tool reviews, option analysis |
+| Strategy | SWOT + Action | Business recommendations |
+| Technical | Layered Deep-Dive | Implementation guides |
+
+## STEEP + Timeline Framework
+
+For analyzing trends and industry changes:
+
+```
+S - Social: User behavior changes, demographics
+T - Technological: New tools, platforms, capabilities  
+E - Economic: Market conditions, pricing trends
+E - Environmental: Sustainability, resource factors
+P - Political/Legal: Regulations, compliance
+
+Timeline:
+- Past (2-3 years): What changed?
+- Present: Current state of play
+- Future (1-2 years): Projections
+```
+
+## Problem Tree Framework
+
+For diagnostic and solution-oriented research:
+
+```
+ROOT PROBLEM
+├── Cause 1
+│   ├── Sub-cause 1.1
+│   └── Sub-cause 1.2
+├── Cause 2
+│   └── Sub-cause 2.1
+└── Cause 3
+
+SOLUTIONS
+├── Solution A → addresses Cause 1
+├── Solution B → addresses Cause 2
+└── Solution C → addresses Cause 3
+```
+
+## Feature Matrix Framework
+
+For comparisons and evaluations:
+
+```
+| Criteria | Option A | Option B | Option C | Weight |
+|----------|----------|----------|----------|--------|
+| Feature 1 | ⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐ | High |
+| Feature 2 | ⭐⭐ | ⭐⭐⭐ | ⭐ | Medium |
+| Feature 3 | ⭐ | ⭐⭐ | ⭐⭐⭐ | Low |
+| Price | $$$ | $$ | $ | High |
+
+Weighted Score: Calculate based on importance
+Recommendation: Based on user's priority
+```
+
+## Layered Deep-Dive Framework
+
+For technical and implementation topics:
+
+```
+Layer 1: Concept (What is it?)
+- Definition
+- Key components
+- How it works (simplified)
+
+Layer 2: Context (Why does it matter?)
+- Business value
+- Use cases
+- When to use vs. alternatives
+
+Layer 3: Implementation (How to do it?)
+- Prerequisites
+- Step-by-step process
+- Code/configuration examples
+
+Layer 4: Optimization (How to do it well?)
+- Best practices
+- Common pitfalls
+- Advanced techniques
+
+Layer 5: Measurement (How to know it works?)
+- Success metrics
+- Monitoring approach
+- Iteration guidance
+```
+
+## Research Question Templates
+
+### Exploratory Questions
+- "What is the current state of [topic]?"
+- "How has [topic] evolved in the past [timeframe]?"
+- "Who are the key players/stakeholders in [topic]?"
+
+### Analytical Questions
+- "What factors drive [outcome] in [context]?"
+- "How does [variable A] affect [variable B]?"
+- "What patterns emerge when comparing [X] and [Y]?"
+
+### Evaluative Questions
+- "What are the strengths and limitations of [approach]?"
+- "How effective is [solution] for [problem]?"
+- "What criteria should guide [decision]?"
+
+### Practical Questions
+- "How can [audience] implement [solution]?"
+- "What resources are needed for [action]?"
+- "What are the risks and mitigations for [approach]?"
+
+## Source Priority
+
+1. **Primary**: Official documentation, research papers, authoritative reports
+2. **Secondary**: Industry publications, expert analysis, case studies
+3. **Tertiary**: News articles, blog posts, community discussions
+
+Always cross-reference claims across multiple source types.
+
+## Data Quality Checklist
+
+- [ ] Source credibility verified
+- [ ] Publication date recent (within context)
+- [ ] Statistics include sample size/methodology
+- [ ] Claims are falsifiable/verifiable
+- [ ] Potential biases identified
+- [ ] Conflicting viewpoints considered