Build a source-aware research plan

작성자: AILesson5 분 소요테스트::ChatGPTClaudeGemini검토일: 2026-08-28

빠른 답변

Plan what to investigate, where to look, and how to separate evidence from inference. 제공할 내용: Research topic, Decision this research should support, Scope and constraints. 예상 결과: A research plan with questions, source hierarchy, and evidence rules.

맥락 추가

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Research topicDecision this research should supportScope and constraints

프롬프트

채워지지 않은 필드는 플레이스홀더로 표시되므로 프롬프트를 복사하고 편집할 수 있습니다

Create a research plan for this topic:
[topic]

The research must support this decision:
[decision]

Scope and constraints:
[limits]

Produce:
1. The decision-relevant questions, ordered by importance
2. A source hierarchy that prioritizes primary and current sources
3. Suggested search queries for each question
4. What evidence would confirm or weaken each possible conclusion
5. A table for recording claim, source, publication date, evidence, and confidence

Do not answer the research questions yet. Flag time-sensitive claims that will require current verification.

Playground에서 사용해 보기

기본적으로 비공개프롬프트 구성은 브라우저에서 로컬로 이루어집니다. 조직에서 허용하지 않는 한 기밀 정보를 AI 서비스에 입력하지 마세요.

입력에서 결과까지

적용 예시

구체적인 맥락이 이 레시피를 바로 사용할 수 있는 결과로 바꾸는 방법을 확인하세요

실제 입력

Research topic: Whether a 35-person remote design agency should replace its current video-meeting tool with an AI meeting assistant that records, transcribes, and summarizes client calls.
Decision this research should support: Recommend whether to run a paid pilot, and define the minimum consent, privacy, security, and workflow requirements that a pilot product must meet.
Scope and constraints: Cover clients and staff in the EU and UK. Compare at most three products. Use no more than two working days for desk research. Prioritize sources published or updated within the last 12 months. Do not evaluate transcription accuracy through hands-on testing yet.

예시 출력

1. Decision-relevant questions

What consent and notification controls exist for recording EU and UK participants?
How does each provider process, retain, delete, and train on recordings and transcripts?
Which security controls and contractual commitments can be verified?
Can administrators enforce the required settings across the agency?
Does the workflow support client calls without unacceptable friction or hidden cost?

2. Source hierarchy

Current product documentation, privacy notices, data-processing agreements, subprocessors, security pages, and pricing pages.
EU and UK regulator guidance and applicable official legal texts.
Current trust-center audit reports or certifications.
Reputable independent analysis for context only; reviews and forums may suggest questions but should not establish compliance.

3. Suggested searches

Consent: [product] recording consent EU UK notification controls
Data use: [product] privacy DPA retention deletion AI training transcripts
Security: [product] trust center SOC 2 ISO 27001 encryption subprocessors
Administration: [product] admin disable recording retention policy SSO
Workflow and cost: [product] pricing meeting bot client consent integrations 2026

4. Evidence tests

A pilot is strengthened by documented participant notification, configurable retention and deletion, a suitable DPA, verifiable security controls, centralized administration, and transparent pricing. It is weakened by ambiguous training use, uncontrollable bot entry, missing regional terms, unverified security claims, or costs that cannot be bounded. Transcription quality remains unresolved because hands-on testing is excluded.

5. Evidence log

Claim	Source	Date	Evidence	Confidence
Requirement or product claim	Direct URL or document	Published or accessed date	Relevant passage or setting	High/Medium/Low

Current verification required: pricing, feature availability, subprocessors, retention controls, certifications, privacy terms, and regulator guidance.

효과가 있는 이유

1
It anchors research to a decision instead of collecting interesting facts.
2
The source hierarchy and evidence table make later conclusions traceable.

결과 확인

Does every research question change or inform the decision?
Are primary sources preferred for product behavior, prices, and policies?

안심하고 사용하세요

자주 묻는 질문

이 레시피를 언제 사용해야 하는지, 무엇을 제공해야 하는지, 그리고 어떤 부분에서 사람의 검토가 여전히 중요한지에 대한 실용적인 답변

What should I prepare before using “Build a source-aware research plan”?

For “Build a source-aware research plan,” prepare Research topic, Decision this research should support, and Scope and constraints. Replace placeholders only with information you can verify. If a detail is unknown, preserve that uncertainty explicitly instead of asking the model to infer it.

When is the “Build a source-aware research plan” result not ready to use?

The result is not ready if it does not yet deliver the stated outcome—A research plan with questions, source hierarchy, and evidence rules—from the supplied evidence, or if it relies on unresolved assumptions, missing approvals, or invented details. Use the checks as release gates: revise the source inputs or assign a named, authorized reviewer instead of polishing an unsupported output.

Which AI tools have recorded tests for “Build a source-aware research plan”?

The published test record for “Build a source-aware research plan” lists ChatGPT, Claude, and Gemini as of 2026-08-28. This confirms recorded runs, not guaranteed compatibility or identical results in later product versions. For another tool or version, keep every constraint visible and repeat the result checks before use.

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