# 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:

1. official government and regulatory sources
2. academic papers and peer-reviewed studies
3. reputable international organizations
4. industry reports by credible institutions
5. company websites and primary competitor materials
6. reputable business and trade media
7. 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- outdated articles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:

1. Brief
2. Source search
3. Source screening
4. Data extraction
5. Analysis
6. Synthesis
7. QA check
8. 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