village/13_RESEARCH/05_Synthesis/2026-06-28_Deep_Research_Methodology_Framework_Synthesis.md
Deep Research Methodology Framework - Synthesis
Deep Research Methodology Framework - Synthesis
Source
Full research result:
13_RESEARCH/04_Results/2026-06-28_Deep_Research_Methodology_Framework_Result.md
Main Use For Specus Village
This research is not a market insight about Specus Village itself. It is a methodology framework for improving how future deep research should be planned, requested, evaluated, and integrated.
The useful output is a stronger research operating system:
- clearer briefs
- better source standards
- structured extraction
- explicit limitations
- quality assurance
- synthesis before integration
- traceable decisions
Research Quality Principles
Every future Specus Village research should include:
- clear objective
- research questions
- scope and geography
- inclusion and exclusion criteria
- source hierarchy
- source evaluation
- extraction table or evidence table
- key findings
- limitations
- risks and uncertainty level
- recommendations
- implications for strategy, product, operations, finance, content, or legal
Source Hierarchy
Prefer:
- official government and regulatory sources
- academic papers and peer-reviewed studies
- reputable international organizations
- industry reports by credible institutions
- company websites and primary competitor materials
- reputable business and trade media
- expert interviews or practitioner notes
Use caution with:
- anonymous blogs
- affiliate content
- outdated articles
- unsourced social media posts
- promotional claims without evidence
- AI-generated summaries without source links
Minimum QA Standard
Each research result should answer:
- What is fact?
- What is interpretation?
- What is assumption?
- What is uncertain?
- What needs local expert verification?
- What would change a decision?
Practical Workflow Upgrade
Future research should follow this path:
- Brief
- Source search
- Source screening
- Data extraction
- Analysis
- Synthesis
- QA check
- Integration into project OS
Implication For Future ChatGPT Tasks
When creating future deep research briefs, ask ChatGPT to:
- separate facts, interpretations, and assumptions
- list sources with dates and links
- include a source quality table
- state limitations and confidence level
- identify red flags
- provide implementation recommendations
- provide a concise synthesis for project documentation