{ "schema_version": "core-reviewed-term-ai-handoff-v2", "version": "core-reviewed-term-ai-handoff-v2", "compat": { "backward_compatible_schema_versions": [ "core-reviewed-term-ai-handoff-v1" ], "v1_fields_preserved": true }, "contract_status": "preview", "distribution": "per_term_read_only_ai_handoff", "no_write_operations": true, "content_tier": "db_backed", "canonical": { "url": "https://core.yogoq.com/ko-KR/core/cohort-analysis-design", "slug": "cohort-analysis-design", "locale": "ko-KR" }, "summary": { "schema_version": "core-reviewed-term-summary-v1", "term_id": "42346440-3484-5d33-9c03-3c85602125eb", "canonical_slug": "cohort-analysis-design", "canonical_url": "https://core.yogoq.com/ko-KR/core/cohort-analysis-design", "locale": "ko-KR", "display_name": "コホート分析設計", "english_name": "Cohort Analysis Design", "abbreviation": null, "short_definition": "Cohort Analysis Design is useful when a team needs a shared decision language, not just a definition.", "content_tier": "db_backed", "quality": "reviewed", "publication_status": "published_reviewed", "version": "core-reviewed-term-summary-v1", "last_reviewed_at": "2026-05-14T00:00:00.000Z", "sources_count": 2, "limitations_key": "core-trust-policy-v1-2026-06-22" }, "aliases": [ { "text": "コホート分析設計", "type": "display_name", "locale": "ko-KR" }, { "text": "Cohort Analysis Design", "type": "english_name", "locale": "en-US" }, { "text": "コホート・アナリシス・デザイン", "type": "katakana", "locale": "ko-KR" }, { "text": "コホート分析設計", "type": "localized_title", "locale": "ja-JP" } ], "content": { "definition": { "key": "definition", "title": "一言でいうと", "text": "Cohort Analysis Design is useful when a team needs a shared decision language, not just a definition.", "items": [] }, "formula": null, "boundary": null, "usage": [ { "key": "meaning", "title": "意味", "text": "Cohort Analysis Design describes a practical concept that helps teams frame a situation, compare options, and decide the next operating move. The value is not the label itself; it is the discipline of defining scope, evidence, owner, and decision consequence before the team acts.", "items": [] }, { "key": "usage", "title": "役立つ場面", "text": "Cohort Analysis Design affects priorities, resource allocation, communication, and accountability. Priority | Clarifies what matters now | Prevents scattered execution Ownership | Makes the responsible team explicit | Reduces handoff ambiguity Evidence | Connects the concept to observable facts | Keeps decisions from becoming opinion-driven", "items": [ "Priority | Clarifies what matters now | Prevents scattered execution", "Ownership | Makes the responsible team explicit | Reduces handoff ambiguity", "Evidence | Connects the concept to observable facts | Keeps decisions from becoming opinion-driven" ] }, { "key": "usage", "title": "使い方のポイント", "text": "Use Cohort Analysis Design with a clear context and decision owner. Define the scope before comparing alternatives. Separate facts, assumptions, and open questions. Tie the concept to a decision, not only to a vocabulary explanation. Review the definition when the customer, market, or operating context changes.", "items": [ "Define the scope before comparing alternatives.", "Separate facts, assumptions, and open questions.", "Tie the concept to a decision, not only to a vocabulary explanation.", "Review the definition when the customer, market, or operating context changes." ] } ], "misunderstandings": [ { "key": "misunderstandings", "title": "判断するときの注意点", "text": "Use Cohort Analysis Design as a decision aid, not as a substitute for judgment. Do not hide weak evidence behind a clean framework. Do not compare options with inconsistent assumptions. Do not keep using the framework after the market, customer, or operating constraint changes.", "items": [ "Do not hide weak evidence behind a clean framework.", "Do not compare options with inconsistent assumptions.", "Do not keep using the framework after the market, customer, or operating constraint changes." ] }, { "key": "misunderstandings", "title": "よくある誤解 / 落とし穴", "text": null, "items": [ "Misconception | It is only a dictionary term | In practice it should change a decision or operating behavior", "Misconception | Everyone means the same thing | Teams should write the scope and assumptions", "Misconception | It is always positive | The term can reveal constraints, risks, or reasons not to act" ] } ], "examples": [ { "key": "examples", "title": "最小例", "text": "A team discussing Cohort Analysis Design first writes the decision it needs to make, the evidence it has, and the trade-off it is willing to accept. After that, the team compares options and records why one path is better for the current quarter. This makes the term useful in planning, review, and handoff conversations.", "items": [] } ], "comparisons": [ { "key": "comparisons", "title": "似ている言葉との違い", "text": "Compare Cohort Analysis Design with adjacent concepts before deciding. Cohort Analysis Design | Current concept | Use when the team needs the primary decision lens Adjacent metric or framework | Supporting lens | Use when the team needs evidence or process detail General vocabulary | Broad explanation | Use only for orientation, not final decision-making", "items": [ "Cohort Analysis Design | Current concept | Use when the team needs the primary decision lens", "Adjacent metric or framework | Supporting lens | Use when the team needs evidence or process detail", "General vocabulary | Broad explanation | Use only for orientation, not final decision-making" ] } ], "faq": [ { "question": "When should I use Cohort Analysis Design?", "answer": "Use it when the team needs to decide scope, priority, owner, or trade-off, not when it only needs a short definition." }, { "question": "What makes Cohort Analysis Design useful in practice?", "answer": "It becomes useful when it is tied to evidence, a decision owner, and a concrete next operating choice." }, { "question": "What should I avoid?", "answer": "Avoid using the term as a label without clarifying assumptions, boundaries, and how success will be judged." } ] }, "source_refs": [ "framework:cohort-analysis-design:en-US", "framework:cohort-analysis-design:ja-JP", "core-term-page-500-02b:framework:cohort-analysis-design" ], "sources": { "source_refs": [ "framework:cohort-analysis-design:en-US", "framework:cohort-analysis-design:ja-JP", "core-term-page-500-02b:framework:cohort-analysis-design" ], "visible_sources": [ { "label": "Principles of Marketing (Open Textbook Library)", "url": "https://open.umn.edu/opentextbooks/textbooks/principles-of-marketing", "kind": "tier_s" }, { "label": "Principles of Management (OpenStax)", "url": "https://openstax.org/details/books/principles-management", "kind": "tier_s" } ] }, "related_terms": [ { "topic_id": "1e003da2-c7ba-591a-a858-6f338e6a5172", "canonical_slug": "funnel-analysis-framework", "canonical_url": "https://core.yogoq.com/ko-KR/core/funnel-analysis-framework", "title": "ファネル分析フレームワーク", "relation_type": "next" }, { "topic_id": "17d22385-3ac5-5b9b-b620-e675bd627ef9", "canonical_slug": "attribution-model-review", "canonical_url": "https://core.yogoq.com/ko-KR/core/attribution-model-review", "title": "アトリビューションモデルレビュー", "relation_type": "used_together" }, { "topic_id": "3e1f8ce1-8f5c-5308-b517-6fc736b9247c", "canonical_slug": "research-repository-governance", "canonical_url": "https://core.yogoq.com/ko-KR/core/research-repository-governance", "title": "リサーチリポジトリガバナンス", "relation_type": "used_together" }, { "topic_id": "89422dc4-6e2c-54ff-a5ec-61b261610a53", "canonical_slug": "usability-test-plan", "canonical_url": "https://core.yogoq.com/ko-KR/core/usability-test-plan", "title": "ユーザビリティテスト計画", "relation_type": "used_together" } ], "relations": [ { "term_id": "1e003da2-c7ba-591a-a858-6f338e6a5172", "canonical_slug": "funnel-analysis-framework", "canonical_url": "https://core.yogoq.com/ko-KR/core/funnel-analysis-framework", "display_name": "ファネル分析フレームワーク", "relation_type": "related", "source_relation_type": "next" }, { "term_id": "17d22385-3ac5-5b9b-b620-e675bd627ef9", "canonical_slug": "attribution-model-review", "canonical_url": "https://core.yogoq.com/ko-KR/core/attribution-model-review", "display_name": "アトリビューションモデルレビュー", "relation_type": "related", "source_relation_type": "used_together" }, { "term_id": "3e1f8ce1-8f5c-5308-b517-6fc736b9247c", "canonical_slug": "research-repository-governance", "canonical_url": "https://core.yogoq.com/ko-KR/core/research-repository-governance", "display_name": "リサーチリポジトリガバナンス", "relation_type": "related", "source_relation_type": "used_together" }, { "term_id": "89422dc4-6e2c-54ff-a5ec-61b261610a53", "canonical_slug": "usability-test-plan", "canonical_url": "https://core.yogoq.com/ko-KR/core/usability-test-plan", "display_name": "ユーザビリティテスト計画", "relation_type": "related", "source_relation_type": "used_together" } ], "chunk_ids": [ "core:chunk:cohort-analysis-design:ko-KR:definition:3365fd819ea4a641", "core:chunk:cohort-analysis-design:ko-KR:meaning:ac1fec90a0c48f66", "core:chunk:cohort-analysis-design:ko-KR:usage:e08b465d241f8e58", "core:chunk:cohort-analysis-design:ko-KR:usage:ce538a611e94ea42", "core:chunk:cohort-analysis-design:ko-KR:misunderstandings:39ee71457a9b0cbd", "core:chunk:cohort-analysis-design:ko-KR:misunderstandings:1258f7edf088394b", "core:chunk:cohort-analysis-design:ko-KR:examples:984e5fd8c393da71", "core:chunk:cohort-analysis-design:ko-KR:comparisons:776f5081a696edd0", "core:chunk:cohort-analysis-design:ko-KR:faq:779a6b8961e78cbc", "core:chunk:cohort-analysis-design:ko-KR:faq:9fae04855e35dc9a", "core:chunk:cohort-analysis-design:ko-KR:faq:ce225b84f4f5f014" ], "chunks": [ { "chunk_id": "core:chunk:cohort-analysis-design:ko-KR:definition:3365fd819ea4a641", "section_key": "definition", "heading": "一言でいうと", "text": "Cohort Analysis Design is useful when a team needs a shared decision language, not just a definition.", "source_refs": [ "framework:cohort-analysis-design:en-US", "framework:cohort-analysis-design:ja-JP", "core-term-page-500-02b:framework:cohort-analysis-design" ], "content_hash": "3365fd819ea4a641fb20bede5dbce1ca5f8569dcf404b73929d00bfff1bd7f67" }, { "chunk_id": "core:chunk:cohort-analysis-design:ko-KR:meaning:ac1fec90a0c48f66", "section_key": "meaning", "heading": "意味", "text": "Cohort Analysis Design describes a practical concept that helps teams frame a situation, compare options, and decide the next operating move. The value is not the label itself; it is the discipline of defining scope, evidence, owner, and decision consequence before the team acts.", "source_refs": [ "framework:cohort-analysis-design:en-US", "framework:cohort-analysis-design:ja-JP", "core-term-page-500-02b:framework:cohort-analysis-design" ], "content_hash": "ac1fec90a0c48f66cf91366a90859ef04a4c4916846ff0ec2d34ca0439e92541" }, { "chunk_id": "core:chunk:cohort-analysis-design:ko-KR:usage:e08b465d241f8e58", "section_key": "usage", "heading": "役立つ場面", "text": "Cohort Analysis Design affects priorities, resource allocation, communication, and accountability. Priority | Clarifies what matters now | Prevents scattered execution Ownership | Makes the responsible team explicit | Reduces handoff ambiguity Evidence | Connects the concept to observable facts | Keeps decisions from becoming opinion-driven Priority | Clarifies what matters now | Prevents scattered execution Ownership | Makes the responsible team explicit | Reduces handoff ambiguity Evidence | Connects the concept to observable facts | Keeps decisions from becoming opinion-driven", "source_refs": [ "framework:cohort-analysis-design:en-US", "framework:cohort-analysis-design:ja-JP", "core-term-page-500-02b:framework:cohort-analysis-design" ], "content_hash": "e08b465d241f8e5888ed32cd6b97202a597226da8beb6d69f79eaabac043d3ec" }, { "chunk_id": "core:chunk:cohort-analysis-design:ko-KR:usage:ce538a611e94ea42", "section_key": "usage", "heading": "使い方のポイント", "text": "Use Cohort Analysis Design with a clear context and decision owner. Define the scope before comparing alternatives. Separate facts, assumptions, and open questions. Tie the concept to a decision, not only to a vocabulary explanation. Review the definition when the customer, market, or operating context changes. Define the scope before comparing alternatives. Separate facts, assumptions, and open questions. Tie the concept to a decision, not only to a vocabulary explanation. Review the definition when the customer, market, or operating context changes.", "source_refs": [ "framework:cohort-analysis-design:en-US", "framework:cohort-analysis-design:ja-JP", "core-term-page-500-02b:framework:cohort-analysis-design" ], "content_hash": "ce538a611e94ea4235aac0223fcda808f2baa387ae7690ca7b7ab7e2a3b4e65f" }, { "chunk_id": "core:chunk:cohort-analysis-design:ko-KR:misunderstandings:39ee71457a9b0cbd", "section_key": "misunderstandings", "heading": "判断するときの注意点", "text": "Use Cohort Analysis Design as a decision aid, not as a substitute for judgment. Do not hide weak evidence behind a clean framework. Do not compare options with inconsistent assumptions. Do not keep using the framework after the market, customer, or operating constraint changes. Do not hide weak evidence behind a clean framework. Do not compare options with inconsistent assumptions. Do not keep using the framework after the market, customer, or operating constraint changes.", "source_refs": [ "framework:cohort-analysis-design:en-US", "framework:cohort-analysis-design:ja-JP", "core-term-page-500-02b:framework:cohort-analysis-design" ], "content_hash": "39ee71457a9b0cbdf7083dc29b4d7228c146c9b05de37abd765131af92abaa8b" }, { "chunk_id": "core:chunk:cohort-analysis-design:ko-KR:misunderstandings:1258f7edf088394b", "section_key": "misunderstandings", "heading": "よくある誤解 / 落とし穴", "text": "Misconception | It is only a dictionary term | In practice it should change a decision or operating behavior Misconception | Everyone means the same thing | Teams should write the scope and assumptions Misconception | It is always positive | The term can reveal constraints, risks, or reasons not to act", "source_refs": [ "framework:cohort-analysis-design:en-US", "framework:cohort-analysis-design:ja-JP", "core-term-page-500-02b:framework:cohort-analysis-design" ], "content_hash": "1258f7edf088394b5b7b9f1dbaf039e699e925f6f7980dfa64046f8378e219fd" }, { "chunk_id": "core:chunk:cohort-analysis-design:ko-KR:examples:984e5fd8c393da71", "section_key": "examples", "heading": "最小例", "text": "A team discussing Cohort Analysis Design first writes the decision it needs to make, the evidence it has, and the trade-off it is willing to accept. After that, the team compares options and records why one path is better for the current quarter. This makes the term useful in planning, review, and handoff conversations.", "source_refs": [ "framework:cohort-analysis-design:en-US", "framework:cohort-analysis-design:ja-JP", "core-term-page-500-02b:framework:cohort-analysis-design" ], "content_hash": "984e5fd8c393da71dd5dafe800a77b66aadaf92b447b703ae20cb0a256469f3c" }, { "chunk_id": "core:chunk:cohort-analysis-design:ko-KR:comparisons:776f5081a696edd0", "section_key": "comparisons", "heading": "似ている言葉との違い", "text": "Compare Cohort Analysis Design with adjacent concepts before deciding. Cohort Analysis Design | Current concept | Use when the team needs the primary decision lens Adjacent metric or framework | Supporting lens | Use when the team needs evidence or process detail General vocabulary | Broad explanation | Use only for orientation, not final decision-making Cohort Analysis Design | Current concept | Use when the team needs the primary decision lens Adjacent metric or framework | Supporting lens | Use when the team needs evidence or process detail General vocabulary | Broad explanation | Use only for orientation, not final decision-making", "source_refs": [ "framework:cohort-analysis-design:en-US", "framework:cohort-analysis-design:ja-JP", "core-term-page-500-02b:framework:cohort-analysis-design" ], "content_hash": "776f5081a696edd05a7ad0d1577964805ec19368c82195e87303969bf0e31bbb" }, { "chunk_id": "core:chunk:cohort-analysis-design:ko-KR:faq:779a6b8961e78cbc", "section_key": "faq", "heading": "When should I use Cohort Analysis Design?", "text": "When should I use Cohort Analysis Design? Use it when the team needs to decide scope, priority, owner, or trade-off, not when it only needs a short definition.", "source_refs": [ "framework:cohort-analysis-design:en-US", "framework:cohort-analysis-design:ja-JP", "core-term-page-500-02b:framework:cohort-analysis-design" ], "content_hash": "779a6b8961e78cbcbbebc30d3d67459fcc16353a87f72f19bb083f510fd5e1f9" }, { "chunk_id": "core:chunk:cohort-analysis-design:ko-KR:faq:9fae04855e35dc9a", "section_key": "faq", "heading": "What makes Cohort Analysis Design useful in practice?", "text": "What makes Cohort Analysis Design useful in practice? It becomes useful when it is tied to evidence, a decision owner, and a concrete next operating choice.", "source_refs": [ "framework:cohort-analysis-design:en-US", "framework:cohort-analysis-design:ja-JP", "core-term-page-500-02b:framework:cohort-analysis-design" ], "content_hash": "9fae04855e35dc9ac90c49b72a53b17157c3d2cb038c563a4cfa654728fc1a61" }, { "chunk_id": "core:chunk:cohort-analysis-design:ko-KR:faq:ce225b84f4f5f014", "section_key": "faq", "heading": "What should I avoid?", "text": "What should I avoid? Avoid using the term as a label without clarifying assumptions, boundaries, and how success will be judged.", "source_refs": [ "framework:cohort-analysis-design:en-US", "framework:cohort-analysis-design:ja-JP", "core-term-page-500-02b:framework:cohort-analysis-design" ], "content_hash": "ce225b84f4f5f014ed40bcf8b7bd766fa3aeddb47bcb0cef41a546b66e5a125c" } ], "content_hash": "50a6d4de48dcd77c7ca3990cc7f8c9d53669c9b0438db73ccee244ee695bacba", "hash_algorithm": "sha256", "rag": { "chunk_id_policy": "core:chunk:{canonical_slug}:{locale}:{section_key}:{sha256_16}", "content_hash_policy": "sha256_stable_json", "source_refs_precision": "source_object_ref_or_source_key_current_snapshot" }, "quality": { "content_tier": "db_backed", "quality": "reviewed", "publication_status": "published_reviewed", "source_count": 2, "last_reviewed_at": "2026-05-14T00:00:00.000Z", "trust_policy_version": "core-trust-policy-v1-2026-06-22" }, "limitations": { "policy_version": "core-trust-policy-v1-2026-06-22", "professional_advice_boundary": "reference_only_not_professional_advice", "text": "이 페이지는 조사와 학습을 위한 참조 정보입니다. 회계, 법무, 금융, 의료, 보안 등 개별 판단은 1차 출처나 전문가 확인을 우선하세요.", "items": [ "공개 페이지는 일반 이해와 실무 맥락을 돕는 자료이며, 개별 사안의 전문 조언이 아닙니다.", "제도, 가격, 규제, 회계 기준, 제품 사양처럼 빠르게 변하는 정보는 최종 판단 전에 1차 출처를 확인해야 합니다.", "AI 지원 제작·감사 흐름을 사용하더라도 공개 여부는 품질 게이트와 사람이 읽을 수 있는 증거에 기반해 다룹니다." ] } }