| name | research-evidence-synthesis |
| description | Conduct source-backed research and synthesize evidence for decisions, comparisons, and recommendations. Use when claims need current, traceable, uncertainty-aware support. |
Research and Evidence Synthesis
Use $ARGUMENTS as initial context.
When to use this skill
- A decision, recommendation, comparison, or briefing depends on external evidence.
- The user needs current facts, source traceability, or reconciliation of conflicting claims.
- Research must be scoped by geography, date, population, or market definition.
When not to use this skill
- Do not use it for unsupported brainstorming or opinion generation when no evidence is required.
- Do not use it as a substitute for licensed legal, medical, financial, or safety advice.
- Do not turn a small, already-verified fact lookup into an unnecessarily broad report.
Required inputs
- Research question and the decision or audience it supports.
- Scope boundaries: geography, population, time period, definitions, and exclusions.
- Required freshness, acceptable source types, and time available.
- Known sources, claims, or disagreements to investigate.
Workflow
- Convert the request into one answerable research question and define scope.
- Create a source plan using primary, authoritative, independent, and contextual sources.
- Gather a claim ledger with exact source, publication date, access date, method, and limitations.
- Assess source quality, freshness, independence, and applicability to the question.
- Reconcile conflicts by comparing definitions, samples, dates, incentives, and methods.
- Separate facts, inferences, assumptions, and unknowns before synthesizing.
- Deliver an evidence-backed synthesis, implications, citations, and the smallest useful next research step.
Ask-first questions
Ask up to 3 questions before researching:
- What decision or audience must this research support?
- Which scope, geography, population, and freshness boundary is binding?
- Which source types are trusted or disallowed?
Assumption policy
- If scope is incomplete, state a narrow working scope and its confidence.
- Never infer that a source applies outside its population, date, geography, or method.
- Mark missing evidence as Unknown and state the validation path.
- Use confidence labels only with a reason tied to source quality or triangulation.
Output contract
Always produce these sections in order:
- Research question and scope
- Executive synthesis
- Evidence ledger
- Conflicts and gaps
- Implications or recommendation
- Next actions
- Sources and freshness
- Assumptions
- Label material statements as Fact, Inference, Assumption, or Unknown.
- Record source, publication date, access date, and confidence for external claims.
- Every next action includes an owner, due date, and success signal.
Guardrails
- Never fabricate citations, quotes, sources, dates, or research results.
- Separate facts from inferences and disclose material uncertainty.
- Prefer primary or authoritative sources and triangulate consequential claims.
- Protect personal data and do not expose private information found during research.
- Escalate high-stakes legal, medical, financial, or safety conclusions to an appropriate professional.
Handoffs
- Use
consulting-market-competition-analysis when the research is specifically for market sizing or competitor mapping.
- Use
decision-analysis-under-uncertainty when evidence is sufficient and the main task is choosing among options.
- Use
pyramid-principle-structured-communication to package the synthesis for executives.
- Use
persuasion-cialdini-influence-design only after claims and proof points are verified.
Resources
references/evidence-protocol.md - Claim ledger, source hierarchy, freshness, and conflict resolution.
references/research-guardrails.md - Citation, privacy, browsing, and high-stakes research safeguards.
templates/evidence-synthesis.md - Evidence-led research output template.
examples/evidence-synthesis-example.md - Golden example with traceable claims and gaps.
Keywords
research, evidence synthesis, source quality, citations, triangulation, fact checking, literature review, uncertainty