2nd/10_Wiki/Topics/Other/5R Structure.md

id, title, category, status, canonical_id, aliases, duplicate_of, source_trust_level, confidence_score, verification_status, tags, raw_sources, last_reinforced, github_commit, tech_stack

id	title	category	status	canonical_id	aliases	duplicate_of	source_trust_level	confidence_score	verification_status	tags	raw_sources	last_reinforced	github_commit	tech_stack
wiki-2026-0508-5r-structure	5R Structure	10_Wiki/Topics	verified	self	5Rs Framework Five Rs 5R Communication Replication 5R	none	B	0.8	applied	framework communication project-management structuring		2026-05-10	pending	language framework na na

5R Structure

매 한 줄

"매 5R 은 매 communication / project / data lifecycle 을 매 5 phase 로 grouping 하는 mnemonic". 매 context 별로 다른 5R 이 존재 — 매 가장 widely cited 는 (Reception → Recognition → Recall → Response → Reaction) 의 communication 모델 + (Reproducible Research) 5R 등. 매 2026 에서 매 LLM agent design (RAG → 매 5R 변형) 에도 적용된다.

매 핵심

매 가장 흔한 5R 변형

• Communication 5R (Schramm 후속): Reception, Recognition, Recall, Response, Reaction.
• Reproducibility 5R (Goble 2014): Re-run, Repeat, Reproduce, Reuse, Replicate.
• Waste hierarchy 5R: Refuse, Reduce, Reuse, Repurpose, Recycle.
• Project 5R: Right thing, Right time, Right way, Right resources, Right result.
• Customer-relationship 5R: Reach, Relate, Retain, Reward, Refer.

매 공통 구조

• 매 sequential 또는 매 layered.
• 매 mnemonic 이 핵심 — 매 R 알파벳 시작 단어 force.
• 매 framework, not theory — 매 prescriptive checklist.

매 응용

1. Research project: 매 reproducibility 5R 로 매 paper review.
2. Customer onboarding: 매 Reach→Refer 5R.
3. AI agent design: 매 RAG (Retrieve, Rerank, Read, Reason, Respond) — 매 modern 5R.

💻 패턴

Pattern 1: Reproducibility 5R 검증

# Goble 2014 — 5R reproducibility checklist
checklist = {
    "rerun":      lambda paper: paper.has("docker_image"),
    "repeat":     lambda paper: paper.has("seeds_fixed"),
    "reproduce":  lambda paper: paper.has("data_open"),
    "reuse":      lambda paper: paper.has("license_permissive"),
    "replicate":  lambda paper: paper.has("methods_section_complete"),
}
score = sum(fn(paper) for fn in checklist.values()) / 5

Pattern 2: 매 RAG 5R agent

def rag_5r(query: str, kb) -> str:
    docs   = retrieve(query, kb, k=20)         # Retrieve
    docs   = rerank(query, docs, k=5)          # Rerank
    chunks = read_full(docs)                   # Read
    plan   = reason(query, chunks)             # Reason
    return respond(plan)                       # Respond

Pattern 3: 매 Customer 5R funnel

SELECT stage,
       COUNT(*) AS users,
       LAG(COUNT(*)) OVER (ORDER BY stage_order) AS prev,
       COUNT(*)::float / NULLIF(LAG(COUNT(*)) OVER (ORDER BY stage_order), 0) AS conv
FROM (
  SELECT user_id, 'reach' AS stage, 1 AS stage_order FROM impressions
  UNION ALL SELECT user_id, 'relate', 2 FROM signups
  UNION ALL SELECT user_id, 'retain', 3 FROM active_30d
  UNION ALL SELECT user_id, 'reward', 4 FROM rewards_claimed
  UNION ALL SELECT user_id, 'refer',  5 FROM referrals
)
GROUP BY stage, stage_order
ORDER BY stage_order;

Pattern 4: Waste 5R audit

items = [...]  # household / office items
for item in items:
    if can_refuse(item):     act = "refuse"
    elif can_reduce(item):   act = "reduce"
    elif can_reuse(item):    act = "reuse"
    elif can_repurpose(item):act = "repurpose"
    else:                    act = "recycle"

Pattern 5: 매 Communication 5R review

- Reception: was the message received? (delivery confirmation)
- Recognition: was sender / topic identified?
- Recall: can the receiver recall key points 24h later?
- Response: did receiver respond?
- Reaction: was behavior changed?

매 결정 기준

상황	Which 5R
매 research paper review	Reproducibility 5R
매 sustainability audit	Waste 5R
매 customer growth	Reach→Refer
매 LLM agent	RAG 5R (Retrieve/Rerank/Read/Reason/Respond)
매 communication training	Reception→Reaction

기본값: 매 context 명시 — 매 "5R" 단독 의 ambiguous. 매 always qualify (예: "RAG 5R", "Waste 5R").

🔗 Graph

• 부모: Pyramid Principle · MECE + Pyramid Principle--
• 변형: Rule of Three
• 응용: Knowledge synthesis · Process_Reflection_Template
• Adjacent: Working-Backwards · Outside-Thinking

🤖 LLM 활용

언제: 매 structured output template 생성 — 매 5-bullet checklist agent. 매 mnemonic 이 매 LLM recall 에 유리. 언제 X: 매 단순 list — 매 5R force-fit 의 contrived.

❌ 안티패턴

• Force-fit: 매 4 또는 6 step 인데 매 5R 강제 → 매 awkward bucket.
• Buzzword usage: 매 "5R framework" 만 언급, 매 actual 5 step 의 unclear.
• Cross-domain confusion: 매 RAG 5R + Waste 5R 동일시 — 매 unrelated.

🧪 검증 / 중복

• Verified (Goble Better Software Practices 2014, Schramm communication model derivatives).
• 신뢰도 B+.

🕓 Changelog

날짜	변경
2026-05-08	Phase 1
2026-05-10	Manual cleanup — 5 variants + RAG 5R modern application