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researcher-hand-skill
Expert knowledge for AI deep research — methodology, source evaluation, search optimization, cross-referencing, synthesis, and citation formats
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- Последна проверка на записа
- 20.09.2026 г.
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Deep Research Expert Knowledge
Research Methodology
Research Process (5 phases)
- Define: Clarify the question, identify what's known vs unknown, set scope
- Search: Systematic multi-strategy search across diverse sources
- Evaluate: Assess source quality, extract relevant data, note limitations
- Synthesize: Combine findings into coherent answer, resolve contradictions
- Verify: Cross-check critical claims, identify remaining uncertainties
Question Types & Strategies
| Question Type | Strategy | Example |
|---|---|---|
| Factual | Find authoritative primary source | "What is the population of Tokyo?" |
| Comparative | Multi-source balanced analysis | "React vs Vue for large apps?" |
| Causal | Evidence chain + counterfactuals | "Why did Theranos fail?" |
| Predictive | Trend analysis + expert consensus | "Will quantum computing replace classical?" |
| How-to | Step-by-step from practitioners | "How to set up a Kubernetes cluster?" |
| Survey | Comprehensive landscape mapping | "What are the options for vector databases?" |
| Controversial | Multiple perspectives + primary sources | "Is remote work more productive?" |
Decomposition Technique
Complex questions should be broken into sub-questions:
Main: "Should our startup use microservices?"
Sub-questions:
1. What are microservices? (definitional)
2. What are the benefits vs monolith? (comparative)
3. What team size/stage is appropriate? (contextual)
4. What are the operational costs? (factual)
5. What do similar startups use? (case studies)
6. What are the migration paths? (how-to)
CRAAP Source Evaluation Framework
Currency
- When was it published or last updated?
- Is the information still current for the topic?
- Are the links functional?
- For technology topics: anything >2 years old may be outdated
Relevance
- Does it directly address your question?
- Who is the intended audience?
- Is the level of detail appropriate?
- Would you cite this in your report?
Authority
- Who is the author? What are their credentials?
- What institution published this?
- Is there contact information?
- Does the URL domain indicate authority? (.gov, .edu, reputable org)
Accuracy
- Is the information supported by evidence?
- Has it been reviewed or refereed?
- Can you verify the claims from other sources?
- Are there factual errors, typos, or broken logic?