9148c358d0
Topic_Agent/Topic_Blog/Topics/Topics_Biz/Topics_Meeting/Topics_Rag의 마크다운 지식 문서를 Topic_General/Topic_Programming/Topic_Graphic/Topic_Business 4개 카테고리로 재분류. - 중복 제거: frontmatter의 status:duplicate/merged + duplicate_of/redirect_to 필드로 자기 자신을 중복으로 선언한 리다이렉트 stub 1032개 제거, 완전 동일 내용 파일 472개 제거, 동일 파일명·다른 내용 충돌 시 더 큰(완전한) 버전만 유지(162개 제거) — 총 1639개 중복 제거. - 분류: 폴더 단위로 명확한 항목(AI_and_ML/Coding/Architecture 등 → Programming, Comfyui/Visual_Effects → Graphic, Topics_Biz/Topics_Meeting/사업 등 → Business, Poetic_Blog_Writing/창의성/Game_Design 등 → General)은 폴더 우선순위로, 나머지 혼재 폴더(Topic_Agent/Topic_Blog/Topics 루트/Thinking & Reasoning/Other/UI_UX_Assets)는 title/tags 키워드 스코어링으로 파일 단위 분류(불명확한 경우 General로 폴백). 원본 폴더명은 "From_*" 서브폴더로 보존해 추적 가능성 유지. - 최종 배치: Programming 2784 / General 1608 / Graphic 285 / Business 249 = 4926개 문서. - 에이전트 운영 상태(.astra/.agent/.obsidian/sessions/memory/_company/docs/lessons/_shared/src)는 지식 콘텐츠가 아니므로 재분류 대상에서 제외하고 원위치 유지. - Topics/Topic_email(상위 보호 폴더 Topic_email과 파일명 100% 중복) 삭제 — 보호 폴더 자체는 미변경. - 완전히 비게 된 Topic_Agent/Topic_Blog/Topics_Biz/Topics_Rag 폴더 제거.
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5.2 KiB
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-working-backwards | Working Backwards | 10_Wiki/Topics | verified | self |
|
none | A | 0.9 | applied |
|
2026-05-10 | pending |
|
Working Backwards
매 한 줄
"매 customer 부터 거꾸로". Amazon이 1990s 말 정착시킨 product development framework — 매 internal press release 와 FAQ 를 먼저 작성한 뒤 거기서 spec 를 도출. 2026 현재 Amazon, Coupang, 토스 등 product-led org 의 standard discipline.
매 핵심
매 5개 customer question
- Who is the customer? 매 구체적 segment.
- What is the customer problem or opportunity?
- What is the most important customer benefit? (선택 X — 1개)
- How do you know what customers need or want? (data, interview, signal)
- What does the customer experience look like? (end-to-end flow)
매 PR-FAQ 구조
- Press Release (1 page): headline, sub-headline, summary, problem, solution, leader quote, customer quote, how to get started.
- External FAQ (1-2 page): customer-facing 의 anticipated Q.
- Internal FAQ (3-5 page): build cost, risk, business model, dependency, metric.
매 응용
- New product 0→1 (Kindle, AWS S3 의 origin docs는 PR-FAQ).
- Major feature launch 의 alignment.
- Roadmap prioritization (PR-FAQ readable → ship-worthy).
💻 패턴
PR-FAQ template (Markdown)
# [Product Name] launches [date]
**[Punchy 1-line headline]**
[Sub-headline: 1-2 sentence customer benefit]
**SEATTLE — [Date]** — Today, [company] announced [product]. [Product]
solves [problem] for [customer segment] by [solution mechanism].
> "[Customer quote — specific, emotional, concrete benefit]"
> — [Persona name, role]
> "[Internal leader quote — vision]"
> — [Leader, title]
To get started, customers can [single clear CTA].
---
## FAQ — External
**Q: How is this different from [competitor]?**
A: ...
**Q: How much does it cost?**
A: ...
## FAQ — Internal
**Q: What's the build cost & timeline?**
A: ...
**Q: What's the customer #1 success metric?**
A: ... (single number, owned)
**Q: What's the biggest risk and how do we mitigate?**
A: ...
**Q: What dependencies does this have?**
A: ...
**Q: What's the kill criterion?**
A: ... (numeric trigger to stop)
Five-Whys driving from PR back to spec
PR claim: "Latency under 200ms p99"
Why? → Customer task abandons at >300ms (data: session log)
Why? → Cognitive flow break
Why? → Page reflow during quote refresh
Why? → Server-side rendering on every poll
Why? → No client-side delta caching
→ Spec: implement WS-based delta + client cache. Owner: X. Metric: p99<200ms.
PR-FAQ readiness rubric
| Criterion | Score 1-5 |
|----------------------------------------|-----------|
| Headline passes "would I click" test | |
| Customer quote sounds like real user | |
| #1 benefit is concrete & measurable | |
| Internal FAQ has kill criterion | |
| Dependency list complete | |
| Metric is single number with owner | |
Total ≥ 24/30 → ship-worthy review.
Inverted backlog prioritization
# 매 score = (PR clarity) * (customer benefit magnitude) / (build cost * risk)
def working_backwards_score(pr_clarity, benefit, cost, risk):
return (pr_clarity * benefit) / (cost * risk + 1e-6)
backlog = sorted(items, key=lambda i: -working_backwards_score(**i))
매 결정 기준
| 상황 | Approach |
|---|---|
| 0→1 new product | Full PR-FAQ before any code |
| Major feature in existing product | Mini PR-FAQ (1 page total) |
| Bug fix / small improvement | Skip — JIRA ticket OK |
| Stakeholder misalignment | PR-FAQ as alignment artifact |
| Roadmap prioritization | Compare PR-FAQ readability head-to-head |
기본값: any project >2 engineer-weeks → PR-FAQ first.
🔗 Graph
- 변형: Press Release First
- Adjacent: Lean Startup
🤖 LLM 활용
언제: PR draft 초안, FAQ Q-set 생성, customer quote persona 생성, 다른 PR-FAQ 와의 consistency check. 언제 X: 매 actual customer voice 의 substitute X — 매 real interview 가 source of truth.
❌ 안티패턴
- Solution-first PR: 매 problem 정의 없이 feature listing — 매 reverse 의 본질 무시.
- Vague metric: "improve experience" 의 X — 매 single number + owner.
- No kill criterion: 매 internal FAQ 에 numeric stop trigger 필수.
- PR after build: 매 retroactive PR — 매 Working Backwards 의 X. 매 build 전에 작성.
- Buzzword quote: customer quote 가 marketing speak — real user transcript 기반.
🧪 검증 / 중복
- Verified (Bryar & Carr "Working Backwards" 2021, Amazon shareholder letters 1997-, Coupang internal docs).
- 신뢰도 A.
🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — PR-FAQ template + readiness rubric |