Generates a structured brief document presented to the client at the first stage of a consulting project. It produces a professional proposal based on the MECE principle and data-driven thinking.
Overview
Creates a proposal structured as a logical flow from the current-state diagnosis of a consulting project to the action plan. It leverages an industry-specific knowledge base and various analytical frameworks such as 3C, 4P, SWOT, and Porter's 5 Forces.
Trigger Keywords
- consulting brief, consulting proposal, consulting brief
- business proposal, consulting report, management consulting
- strategy consulting, diagnosis report, business diagnosis
- proposal writing, client proposal, consulting contract
Real-World Consulting Analysis Patterns (Pyramid + MECE + SCQA)
The essence of consulting is vast facts → core message → actionable decision-makingthe ability to compress into that. A report that simply lists dozens to hundreds of pieces of raw data leaves the decision-maker with nothing but irritation.
7 Compression Patterns
① Pyramid Structure — Start with the Conclusion
At the apex, the conclusion, and going downward, logic and evidence. A decision-maker with no time should hear the conclusion first, then read in order why it was derived, so they understand faster. A report that starts with raw data can only be understood if it is read all the way to the end, which is inefficient in a business environment.
Good Example vs Bad Example:
- ❌ "Last week at Store A there was B, at Store C there was D, and… in conclusion, sales -10%"
- ✅ "Overall sales -10%. Three main causes: (1) Store A new product out of stock (2) Category B price increase shock (3) Channel C advertising halted"
② So What ↔ Why So Verification Pair
| Question | Who uses it | Role |
|---|---|---|
| So What? ("What can we learn from these facts?") | Practitioner | Facts → Extract message |
| Why So? ("Why is such a conclusion possible?") | Executive | Message → Verify evidence |
A practitioner reports having done only So What → gets flustered by the executive's Why So question. Prepare a Why So answer in advance for every messageto survive a consulting meeting.
③ MECE Horizontal Rule
Mutually Exclusive (no overlap) + Collectively Exhaustive (no omission). Reasons to use it:
- Grasp the whole picture at a glance
- Prevent important omissions
- Structuring of thinking
Common anti-patterns:
- Omission: Splitting customers into just "new / returning" and leaving out the "churned customers" area → CE breaks
- Overlap: Classifying customers as "20s / women / office workers" → ME breaks (one person can be all three)
Good MECE example: Revenue = new revenue + existing customer repurchase revenue + new category revenue (mutually exclusive and collectively exhaustive).
④ The very bottom of the pyramid = factual truthfulness
No matter how good the So What and Why So are, if the underlying facts are inaccurate, the analysis itself is meaningless. Make primary source verification Step 0:
- Statistics: primary sources such as KOSIS, OECD, World Bank (no secondary citations)
- Industry reports: check publisher, publication date, sample
- Interviews: record title, interview date, context
- News: reporter name, media credibility
⑤ SCQA 4-part presentation structure (executive reporting)
Executives do not focus from the beginning to the end of a presentation → one story in a repeatable form로:
| Stage | Meaning | What to fill in |
|---|---|---|
| Situation | Worldview·context | Environmental facts the audience will agree with |
| Complication | The problem as seen through data | Anomalies in metric trends, what is a problem and why |
| Question | Deriving the key question | "How will we solve this problem?" |
| Answer | Presenting the answer | Recommendation + rationale + next steps |
Simple reporting vs SCQA:
- ❌ "Revenue -10%"
- ✅ "(S) The overall market is contracting -3% / (C) We are down -10%, an additional -7%p decline versus the market average / (Q) What is the cause of this additional decline? / (A) A sharp drop in A channel advertising efficiency + new competing products in category B"
⑥ Top-Down concept establishment
Broad classification → narrowing order. Convey (1) situation (2) classification (3) priorities simultaneously on one slide.
전체 시장
→ 우리 사업 영역
→ 핵심 세그먼트
→ 우선순위 Top 3 타깃
At each narrowing stage, reasonmust be shown together (e.g., "select only segments with revenue share of 70% and growth rate of +20%").
⑦ Less detail, exhaustive classification
The two major mistakes in the early concept-establishment stage:
- (1) Excess detail: A table of every variable and option → executives cannot follow the key point
- (2) Showing only selected key points: Suspicion of "what are they hiding?", flood of questions about omitted parts
The right answer: MECE broad classification + emphasize only the key points(bold·color). Put details in the Appendix.
6 Korean consulting analysis frameworks
| Framework | Purpose | Caution |
|---|---|---|
| 3C (Customer/Competitor/Company) | Strategic positioning | Do not list; capture paradigm shifts |
| 4P (Product/Price/Place/Promotion) | Marketing mix | For B2B, 4C (Customer Value/Cost/Convenience/Communication) is recommended |
| Porter's 5 Forces | Competitive analysis | Do not list threats; turn entry barriers to your advantage |
| 7S (Strategy/Structure/Systems/Style/Staff/Skills/Shared Values) | Internal diagnosis | Korean organizations are heavily influenced by Style and Shared Values |
| SWOT | Strategy Synthesis | In the language of "choice and trade-off" |
| Ansoff Matrix | Growth Strategy | Market × Product 4-Matrix |
Standard 30-60-90 Day Roadmap Structure
- 0-30일: Quick Win + Data Collection (short-term visible results)
- 31-60일: Executing core changes (process and organizational restructuring)
- 61-90일: Settling in and measuring (KPI measurement, designing the next stage)
Consulting Differentiation in the AI Era (2026)
- AI Draft + Consultant Validation: Data collection and first-pass analysis by AI; hypotheses, insights, and decision-making by humans
- Why So answers are human-only: AI is good at finding patterns, but has limits in the depth of "why that is"
- Understanding Client Context: Industry, company, and organizational culture can't be captured by AI — the consultant's value is clear
- MECE Validation: Categories made by AI often have omissions and overlaps — humans do the final validation
💡 The No. 1 cause of failure in Korean consulting meetings: (1) Listing only analysis without a conclusion (2) Broken MECE categorization (3) Not preparing Why So answers (4) Reporting AI output as-is. Just covering these four points will greatly increase client trust.
Workflow
Step 1: Load Industry Context
Identify the client's industry and load and analyze the latest trends and issues, competitive structure, market dynamics, regulatory environment, risk factors, and benchmarking cases.
Step 2: Current State Analysis
Diagnose multi-dimensionally the financial status (revenue, profitability, growth rate, ROE/ROIC), market position (market share, strengths and weaknesses versus competitors), operational efficiency (processes, organization, technology), and organizational capabilities (leadership, workforce, culture, innovation).
Step 3: Problem Structuring
Structure the identified issues according to MECE principles. Perform root cause identification (Iceberg Model, 5 Whys), prioritization (impact and urgency matrix), hypothesis setting, and hierarchical decomposition with an Issue Tree.
Step 4: Select Analysis Framework
Select the optimal framework according to the problem type.
- Strategic Positioning: 3C (Customer, Competitor, Company)
- Marketing Mix: 4P (Product, Price, Place, Promotion)
- Competitive Analysis: Porter's 5 Forces
- Internal Diagnosis: 7S (Strategy, Structure, Systems, etc.)
- SWOT Analysis: SWOT Matrix
- Growth Strategy: Ansoff Matrix
Step 5: Derive Recommendations
Present actionable recommendations including strategic direction, specific actions, risk mitigation, and success metrics (KPI, measurement framework).
Step 6: Document the Brief
Write a professional consulting brief including an Executive Summary, current-state analysis, problem definition, analysis framework, recommendations, and an execution plan (30-60-90 day roadmap).
Usage Examples
Example 1: E-commerce Growth Strategy Consulting
Input:
산업: 전자상거래
문제: 최근 3분기 MAU 성장 둔화, CAC 상승
범위: 고객 획득 및 리텐션 전략
예산: 5억 원 (6개월)
Output:
# 전자상거래 플랫폼 성장 전략 컨설팅 브리프
## Executive Summary
CAC 25,000원, LTV 18,000원으로 유닛 이코노믹스 불균형.
리텐션 강화와 유기적 트래픽 확대로 CAC 40% 절감, LTV 30% 증대 목표.
## 현황 분석
- 재무: QoQ MAU 성장률 12% → 5% → 2%
- 시장: 경쟁사 5사 중 4위 (12%)
- 운영: 유료 광고 의존도 78%
- 조직: 데이터 분석 역량 부족
## 문제 정의
핵심 이슈: 유료 트래픽 의존도 높고 리텐션이 낮아 성장이 지속 가능하지 않음
가설: (1) 온보딩 개선 시 리텐션 20%↑
(2) 리퍼럴 프로그램 도입 시 CAC 30%↓
## 분석 프레임워크: 3C + AARRR
- Customer: 타겟 세분화, 코호트 분석
- Competitor: 리텐션 전략 벤치마킹
- Company: 유닛 이코노믹스 분석
- AARRR: Acquisition, Activation, Retention, Referral, Revenue
## 권고사항
[HIGH] 온보딩 흐름 재설계
[HIGH] 리퍼럴 프로그램 런칭
[MEDIUM] 컨텐츠 마케팅 확대
[MEDIUM] Push 알림 최적화
## 실행 계획 (30-60-90 days)
[30일] 온보딩 설문조사 도구, 리퍼럴 프로그램 설계
[60일] 리퍼럴 베타 런칭, Push 알림 개인화
[90일] 컨텐츠 마케팅 10개 채널, A/B 테스트 인프라
Example 2: Manufacturing Digital Innovation Consulting
Input:
산업: 중견 제조업 (자동차 부품)
문제: 생산성 정체, 재고 회전율 저하, 불량률 상승
범위: 스마트 팩토리 도입을 통한 운영 효율화
예산: 20억 원 (18개월)
Output:
# 제조업 디지털 혁신 컨설팅 브리프
## Executive Summary
OPL 75%, 재고 회전율 3.2회/년, 불량률 2.1%로 업계 평균 미달.
스마트 팩토리 3단계 도입으로 OPL 85%, 재고 회전율 4.5회, 불량률 0.8% 달성.
## 현황 분석
- 재무: 영업이익률 4.2% (업평 6.5%)
- 시장: 전기차 전환으로 기존 부품 수요 감소
- 운영: 설비 가동률 68%, 다운타임 12시간/월
- 조직: 디지털 역량 부족
## 문제 정의
핵심 이슈: 아날로그 방식의 운영 프로세스와 데이터 부재로 의사결정 지연
가설: (1) 실시간 데이터 수집 시 OPL 8%↑
(2) 예지 보전 도입 시 다운타임 60%↓
## 분석 프레임워크: 7S + TPM
- Strategy: DX 로드맵과 기대 효과 정량화
- Structure: DX 전담 조직 신설
- Systems: MES, ERP, IoT 플랫폼 통합
## 권고사항
[HIGH] 센서 설치 및 데이터 수집 인프라
[HIGH] MES 도입
[HIGH] 예지 보전 시스템 구축
[MEDIUM] 재고 최적화 알고리즘
## 실행 계획 (6-12-18개월)
[6개월] 데이터 수집 인프라, MES 기본 기능
[12개월] MES 전면 도입, 재고 최적화 알고리즘
[18개월] AI 기반 고장 예측, 자동화 확대
Output Format
Required Sections
- Executive Summary: 1-page summary
- Situation Analysis: Multi-dimensional diagnosis of finance/market/operations/organization
- Problem Definition: Key issues and hypotheses, Issue Tree
- Analysis Framework: Adopted framework and application results
- Recommendations: Action items by priority
- Implementation Plan: 30-60-90 days roadmap and resource requirements
Optional Sections
- Risk Analysis: Execution risks and mitigation measures
- Success Cases: Benchmarking cases
- Glossary: Definition of technical terms
- Appendix: Detailed data, original analysis results
Precautions
Brief Writing Principles
- MECE Principle: Problem decomposition must be mutually exclusive and collectively exhaustive
- Data-Driven: Claims must be supported by data or evidence
- SMART Recommendations: Specific, Measurable, Achievable, Relevant, Time-bound
- Feasibility: Consider the client's resources and capabilities
Avoid Common Mistakes
- Solutions Without Problem Definition: Prescriptions without diagnosis are dangerous
- Excessive Analysis: Prioritize actionable insights
- Generic Recommendations: Avoid vague suggestions like "strengthen marketing"
- Ignoring Client Context: Reflect industry characteristics and company situation
- Unrealistic Timelines: Unreasonable schedules such as compressing an 18-month project into 3 months
Responding in Situations Without Data
- If there is no clear data, establish reasonable hypotheses and present verification methods
- Use benchmarking: compare with similar companies/industry averages
- Expert interview plan: include data collection methods in the implementation plan
Related Skills
- moai-business:strategy-planner: Use when writing strategic plans
- moai-business:market-analyst: If market analysis is needed, execute first
- moai-office:pptx-designer: Convert the brief into PPT
- moai-core:ai-slop-reviewer → moai-content:humanize-korean: After AI pattern review of the final deliverable, naturally refine the Korean expressions (required)