Consulting Analysis

Overview

Produces professional, consulting-grade research reports in Markdown, covering market analysis, consumer insights, brand strategy, financial analysis, industry research, competitive intelligence, and investment due diligence.

Operates in two phases:

1. Phase 1 — Analysis Framework: chapter skeleton, data requirements,

visualization plan

1. Phase 2 — Report Generation: synthesize collected data into final report

Output adheres to McKinsey/BCG consulting voice standards.

Data Authenticity Protocol

All data in the report MUST derive from provided Data Summary or External Search Findings. No hallucinations. If data is missing, state "Data not available" rather than fabricating numbers. Every major claim must be traceable to input data.

When to Use

• User asks for market analysis, consumer insight report, financial analysis,

industry research, or any consulting-grade analytical report

• User provides a research subject and needs a structured framework
• User provides data summaries to synthesize into a report

Phase 1: Analysis Framework Generation

Step 1.1: Identify Domain & Dimensions

| Domain | Typical Dimensions | |--------|--------------------| | Market Analysis | Market size, growth, segmentation, drivers, competition | | Brand Analysis | Positioning, share, perception, strategy | | Consumer Insights | Demographics, behavior, decision journey, pain points | | Financial Analysis | Macro, industry, fundamentals, metrics, valuation | | Industry Research | Value chain, market size, competition, policy, tech | | Investment DD | Business model, financials, management, opportunity, risk | | Competitive Intel | Competitor ID, comparison, SWOT, positioning |

Step 1.2: Select Frameworks

Select 2-4 complementary frameworks per domain:

| Category | Frameworks | |----------|-----------| | Strategic | SWOT, PESTEL, Porter's Five Forces, VRIO | | Market & Growth | STP, BCG Matrix, Ansoff, TAM-SAM-SOM, PLC | | Consumer | Decision Journey, AARRR, RFM, JTBD | | Financial | DuPont, DCF, Comparable Company, EVA | | Competitive | Benchmarking, Value Chain, Blue Ocean, Perceptual Mapping | | Industry | Gartner Hype Cycle, GE-McKinsey Matrix |

Selection principles: domain-first, complementary not overlapping, depth over breadth, data-feasible, explicitly mapped to chapters.

Step 1.3: Chapter Skeleton

Each chapter must include:

1. Chapter Title — professional, concise, subject-based
2. Analysis Objective — what this chapter reveals
3. Analysis Logic — framework or reasoning chain
4. Core Hypothesis — to validate or refute

Step 1.4: Data Requirements Per Chapter

| Field | Description | |-------|-------------| | Data Metric | Specific metric needed | | Data Type | Quantitative / Qualitative / Mixed | | Suggested Sources | Industry reports, gov stats, social media, etc. | | Search Keywords | Queries for data collection | | Priority | P0 (Required) / P1 (Important) / P2 (Supplementary) | | Time Range | Period data should cover |

Step 1.5: Visualization Plan Per Chapter

| Field | Description | |-------|-------------| | Chart Type | Line, bar, pie, scatter, radar, heatmap, table | | Chart Title | Descriptive title | | Data Mapping | Which metrics map to axes/segments | | Argument Structure | "What → Why → So What" narrative outline |

Step 1.6: Output Framework

markdown
# [Research Subject] Analysis Framework

## Research Overview
- **Research Subject**: [...]
- **Scope**: [Geography, time range, segment]
- **Analysis Domain**: [Market / Finance / Industry / ...]
- **Core Research Questions**: [1-3 key questions]

## Framework Selection
| Chapter | Selected Framework(s) | Application |
|---------|----------------------|-------------|

## Chapter Skeleton
### 1. [Chapter Title]
- **Analysis Objective**: [...]
- **Analysis Logic**: [...]
- **Core Hypothesis**: [...]
#### Data Requirements
| # | Metric | Type | Sources | Keywords | Priority | Time |
#### Visualization & Content Plan
[Chart plan + table design + argument structure]

## Data Collection Task List
[Consolidated P0/P1 tasks for downstream data collection]

Phase 2: Report Generation

After data collection (by deep-research or other skills), synthesize into final report.

Step 2.1: Validate Inputs

Confirm Analysis Framework + Data Summary present. Flag missing P0 data.

Step 2.2: Write Report

For each sub-chapter, follow "Visual Anchor → Data Contrast → Integrated Analysis":

1. Visual Evidence: comparison tables (charts if available)
2. Data Contrast: Markdown table of key metrics
3. Integrated Narrative: "What → Why → So What" (min 200 words)

Each insight must connect Data → User Psychology → Strategy Implication:

❌ Bad: "Females are 60%. Strategy: Target females."
✅ Good: "Females constitute 60% with high TGI. This suggests purchase is
   driven by aesthetic validation. Consequently, media spend should pivot
   to visual-heavy platforms."

Step 2.3: Report Structure

markdown
# [Report Title]

## Abstract
[Executive summary with key takeaways]

## 1. Introduction
[Background, objectives, methodology]

## 2. [Body Chapter]
### 2.1 [Sub-chapter]
| Metric | Brand A | Brand B |
[Integrated narrative: What → Why → So What, min 200 words]

## N+1. Conclusion
[Pure objective synthesis, NO bullet points, neutral tone]

## N+2. References
[Formatted references]

Formatting Standards

• Tone: McKinsey/BCG — authoritative, objective, professional
• Number formatting: English commas (1,000 not 1，000)
• Titling: standard numbering (1., 1.1), no "Chapter/Part/Section"

prefixes

• Forbidden words: "Decoding", "DNA", "Secrets", "Unlocking"
• No horizontal rules (---)
• Conclusion: flowing prose, NO bullet points

Quality Checklist

Phase 1

• ] Framework covers all natural dimensions for the domain
• ] 2-4 complementary frameworks selected and mapped to chapters
• ] Each chapter has Objective, Logic, Hypothesis
• ] Data requirements specific with search keywords
• ] Every chapter has a visualization plan
• ] P0/P1/P2 priorities assigned

Phase 2

• ] NO HALLUCINATION: all numbers traceable to Data Summary
• ] All sections in order (Abstract → Intro → Body → Conclusion → References)
• ] Every sub-chapter follows "Visual Anchor → Data Contrast → Analysis"
• ] Every sub-chapter ends with min 200-word analytical paragraph
• ] Insights follow "Data → Psychology → Strategy" chain
• ] Conclusion is flowing prose, no bullets
• ] Missing P0 data explicitly flagged

Output

• Phase 1: Analysis Framework in Markdown
• Phase 2: Final Report in Markdown, saved to .poirot/outputs/