Andrew Yim
0bc24d00b9
Complete implementation of OurDigital skills with dual-platform support (Claude Desktop + Claude Code) following standardized structure. Skills created: - 01-ourdigital-brand-guide: Brand reference & style guidelines - 02-ourdigital-blog: Korean blog drafts (blog.ourdigital.org) - 03-ourdigital-journal: English essays (journal.ourdigital.org) - 04-ourdigital-research: Research prompts & workflows - 05-ourdigital-document: Notion-to-presentation pipeline - 06-ourdigital-designer: Visual/image prompt generation - 07-ourdigital-ad-manager: Ad copywriting & keyword research - 08-ourdigital-trainer: Training materials & workshop planning - 09-ourdigital-backoffice: Quotes, proposals, cost analysis - 10-ourdigital-skill-creator: Meta skill for creating new skills Features: - YAML frontmatter with "ourdigital" or "our" prefix triggers - Standardized directory structure (code/, desktop/, shared/, docs/) - Shared environment setup (_ourdigital-shared/) - Comprehensive reference documentation - Cross-skill integration support Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
134 lines
3.5 KiB
Markdown
134 lines
3.5 KiB
Markdown
# Research Frameworks
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## Framework Selection Guide
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| Topic Type | Framework | Best For |
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|------------|-----------|----------|
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| Trend analysis | STEEP + Timeline | Industry shifts, emerging tech |
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| Problem-solution | Problem Tree | Pain points, how-to guides |
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| Comparison | Feature Matrix | Tool reviews, option analysis |
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| Strategy | SWOT + Action | Business recommendations |
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| Technical | Layered Deep-Dive | Implementation guides |
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## STEEP + Timeline Framework
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For analyzing trends and industry changes:
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```
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S - Social: User behavior changes, demographics
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T - Technological: New tools, platforms, capabilities
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E - Economic: Market conditions, pricing trends
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E - Environmental: Sustainability, resource factors
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P - Political/Legal: Regulations, compliance
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Timeline:
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- Past (2-3 years): What changed?
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- Present: Current state of play
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- Future (1-2 years): Projections
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```
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## Problem Tree Framework
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For diagnostic and solution-oriented research:
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```
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ROOT PROBLEM
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├── Cause 1
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│ ├── Sub-cause 1.1
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│ └── Sub-cause 1.2
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├── Cause 2
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│ └── Sub-cause 2.1
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└── Cause 3
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SOLUTIONS
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├── Solution A → addresses Cause 1
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├── Solution B → addresses Cause 2
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└── Solution C → addresses Cause 3
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```
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## Feature Matrix Framework
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For comparisons and evaluations:
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```
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| Criteria | Option A | Option B | Option C | Weight |
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|----------|----------|----------|----------|--------|
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| Feature 1 | ⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐ | High |
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| Feature 2 | ⭐⭐ | ⭐⭐⭐ | ⭐ | Medium |
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| Feature 3 | ⭐ | ⭐⭐ | ⭐⭐⭐ | Low |
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| Price | $$$ | $$ | $ | High |
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Weighted Score: Calculate based on importance
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Recommendation: Based on user's priority
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```
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## Layered Deep-Dive Framework
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For technical and implementation topics:
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```
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Layer 1: Concept (What is it?)
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- Definition
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- Key components
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- How it works (simplified)
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Layer 2: Context (Why does it matter?)
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- Business value
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- Use cases
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- When to use vs. alternatives
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Layer 3: Implementation (How to do it?)
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- Prerequisites
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- Step-by-step process
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- Code/configuration examples
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Layer 4: Optimization (How to do it well?)
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- Best practices
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- Common pitfalls
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- Advanced techniques
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Layer 5: Measurement (How to know it works?)
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- Success metrics
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- Monitoring approach
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- Iteration guidance
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```
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## Research Question Templates
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### Exploratory Questions
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- "What is the current state of [topic]?"
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- "How has [topic] evolved in the past [timeframe]?"
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- "Who are the key players/stakeholders in [topic]?"
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### Analytical Questions
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- "What factors drive [outcome] in [context]?"
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- "How does [variable A] affect [variable B]?"
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- "What patterns emerge when comparing [X] and [Y]?"
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### Evaluative Questions
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- "What are the strengths and limitations of [approach]?"
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- "How effective is [solution] for [problem]?"
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- "What criteria should guide [decision]?"
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### Practical Questions
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- "How can [audience] implement [solution]?"
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- "What resources are needed for [action]?"
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- "What are the risks and mitigations for [approach]?"
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## Source Priority
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1. **Primary**: Official documentation, research papers, authoritative reports
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2. **Secondary**: Industry publications, expert analysis, case studies
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3. **Tertiary**: News articles, blog posts, community discussions
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Always cross-reference claims across multiple source types.
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## Data Quality Checklist
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- [ ] Source credibility verified
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- [ ] Publication date recent (within context)
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- [ ] Statistics include sample size/methodology
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- [ ] Claims are falsifiable/verifiable
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- [ ] Potential biases identified
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- [ ] Conflicting viewpoints considered
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