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