consulting-analysis

name	consulting-analysis
description	Consulting-grade research reports: framework + final report.
allowed-tools	["web_search","browse_page","write_file","present_files"]
enabled	true
related-skills	["deep-research","data-analysis"]
license	MIT
author	Adapted from deer-flow (Bytedance, MIT)

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
2. 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

# [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

# [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/