Professional Research Report Skill

Overview

This skill produces professional, consulting-grade research reports in Markdown format, covering domains such as

market analysis, consumer insights, brand strategy, financial analysis, industry research, competitive intelligence, investment research, and macroeconomic analysis

. It operates across two distinct phases:

Phase 1 — Analysis Framework Generation

Given a research subject, produce a rigorous analysis framework including chapter skeleton, per-chapter data requirements, analysis logic, and visualization plan.

Phase 2 — Report Generation

After data has been collected by other skills, synthesize all inputs into a final polished report.

The output adheres to McKinsey/BCG consulting voice standards. The report language follows the

output_locale

setting (default:

zh_CN

for Chinese).

Data Authenticity Protocol

Strict Adherence Rule

All data presented in the report and visualized in charts MUST be derived directly from the provided

Data Summary

or

External Search Findings

.

NO Hallucinations

Do not invent, estimate, or simulate data. If data is missing, state "Data not available" rather than fabricating numbers.

Traceable Sources

Every major claim and chart must be traceable back to the input data package.

Core Capabilities

Design analysis frameworks

from scratch given only a research subject and scope

Transform raw data into structured, high-depth research reports

Follow the

"Visual Anchor → Data Contrast → Integrated Analysis"

flow per sub-chapter

Produce insights following the

"Data → User Psychology → Strategy Implication"

chain

Embed pre-generated charts and construct comparison tables

Generate inline citations formatted per

GB/T 7714-2015

standards

Output reports in the language specified by

output_locale

with professional consulting tone

Adapt analytical depth and structure to domain (marketing, finance, industry, etc.)

When to Use This Skill

Always load this skill when:

User asks for a market analysis, consumer insight report, financial analysis, industry research, or any consulting-grade analytical report

User provides a research subject and needs a structured analysis framework before data collection

User provides data summaries, analysis frameworks, or chart files to be synthesized into a report

User needs a professional consulting-style research report

The task involves transforming research findings into structured strategic narratives

Phase 1: Analysis Framework Generation

Purpose

Given a

research subject

(e.g., "Gen-Z Skincare Market Analysis", "NEV Industry Competitive Landscape", "Brand X Consumer Profiling"), produce a complete

analysis framework

that serves as the blueprint for downstream data collection and final report generation.

Phase 1 Inputs

Input

Description

Required

Research Subject

The topic or question to be analyzed

Yes

Scope / Constraints

Geographic scope, time range, industry segment, target audience, etc.

Optional

Specific Angles

Any particular angles or hypotheses the user wants explored

Optional

Domain

The analytical domain: market, finance, industry, brand, consumer, investment, etc.

Inferred

Phase 1 Workflow

Step 1.1: Understand the Research Subject

Parse the research subject to identify the

core entity

(market, brand, product, industry, consumer segment, financial instrument, etc.)

Identify the

analytical domain

(marketing, finance, industry, competitive, consumer, investment, macro, etc.)

Determine the

natural analytical dimensions

based on domain:

Domain

Typical Dimensions

Market Analysis

Market size, growth trends, market segmentation, growth drivers, competitive landscape, consumer profiling

Brand Analysis

Brand positioning, market share, consumer perception, marketing strategy, competitor comparison

Consumer Insights

Demographic profiling, purchase behavior, decision journey, pain points, scenario analysis

Financial Analysis

Macro environment, industry trends, company fundamentals, financial metrics, valuation, risk assessment

Industry Research

Value chain analysis, market size, competitive landscape, policy environment, technology trends, entry barriers

Investment Due Diligence

Business model, financial health, management assessment, market opportunity, risk factors, exit pathways

Competitive Intelligence

Competitor identification, strategic comparison, SWOT analysis, differentiated positioning, market dynamics

Step 1.2: Select Analysis Frameworks & Models

Based on the identified domain and research subject, select

one or more

professional analysis frameworks to structure the reasoning in each chapter. The chosen frameworks guide the

Analysis Logic

in the chapter skeleton (Step 1.3).

Strategic & Environmental Analysis

Framework

Description

Best For

SWOT Analysis

Strengths, Weaknesses, Opportunities, Threats

Brand assessment, competitive positioning, strategic planning

PEST / PESTEL Analysis

Political, Economic, Social, Technological (+ Environmental, Legal)

Macro-environment scanning, market entry assessment, policy impact analysis

Porter's Five Forces

Supplier bargaining power, buyer bargaining power, threat of new entrants, threat of substitutes, industry rivalry

Industry competitive landscape, entry barrier assessment, profit margin analysis

Porter's Diamond Model

Factor conditions, demand conditions, related industries, firm strategy & structure

National/regional competitive advantage analysis

VRIO Analysis

Value, Rarity, Imitability, Organization

Core competency assessment, resource advantage analysis

Market & Growth Analysis

Framework

Description

Best For

STP Analysis

Segmentation, Targeting, Positioning

Market segmentation, target market selection, brand positioning

BCG Matrix (Growth-Share Matrix)

Stars, Cash Cows, Question Marks, Dogs

Product portfolio management, resource allocation decisions

Ansoff Matrix

Market penetration, market development, product development, diversification

Growth strategy selection

Product Life Cycle (PLC)

Introduction, growth, maturity, decline

Product strategy formulation, market timing decisions

TAM-SAM-SOM

Total / Serviceable / Obtainable Market

Market sizing, opportunity quantification

Technology Adoption Lifecycle

Innovators → Early Adopters → Early Majority → Late Majority → Laggards

Emerging technology/category penetration analysis

Consumer & Behavioral Analysis

Framework

Description

Best For

Consumer Decision Journey

Awareness → Consideration → Evaluation → Purchase → Loyalty

Consumer behavior path mapping, touchpoint optimization

AARRR Funnel (Pirate Metrics)

Acquisition, Activation, Retention, Revenue, Referral

User growth analysis, conversion rate optimization

RFM Model

Recency, Frequency, Monetary

Customer value segmentation, precision marketing

Maslow's Hierarchy of Needs

Physiological → Safety → Social → Esteem → Self-actualization

Consumer psychology analysis, product value proposition

Jobs-to-be-Done (JTBD)

The "job" a user needs to accomplish in a specific context

Demand insight, product innovation direction

Financial & Valuation Analysis

Framework

Description

Best For

DuPont Analysis

ROE = Net Profit Margin × Asset Turnover × Equity Multiplier

Profitability decomposition, financial health diagnosis

DCF (Discounted Cash Flow)

Free cash flow discounting

Enterprise/project valuation

Comparable Company Analysis

PE, PB, PS, EV/EBITDA multiples comparison

Relative valuation, peer benchmarking

EVA (Economic Value Added)

After-tax operating profit - Cost of capital

Value creation capability assessment

Competitive & Strategic Positioning

Framework

Description

Best For

Benchmarking

Key performance indicator item-by-item comparison

Competitor gap analysis, best practice identification

Strategic Group Mapping

Cluster competitors along two key dimensions

Competitive landscape visualization, white-space identification

Value Chain Analysis

Primary activities + support activities value decomposition

Cost advantage sources, differentiation opportunity identification

Blue Ocean Strategy

Value curve, four-action framework (Eliminate-Reduce-Raise-Create)

Differentiated innovation, new market space creation

Perceptual Mapping

Plot brand positions along two consumer-perceived dimensions

Brand positioning analysis, market gap discovery

Industry & Supply Chain Analysis

Framework

Description

Best For

Industry Value Chain

Upstream → Midstream → Downstream decomposition

Industry structure understanding, profit distribution analysis

Gartner Hype Cycle

Technology Trigger → Peak of Inflated Expectations → Trough of Disillusionment → Slope of Enlightenment → Plateau of Productivity

Emerging technology maturity assessment

GE-McKinsey Matrix

Industry Attractiveness × Competitive Strength

Business portfolio prioritization, investment decisions

Selection Principles

Domain-First

Based on the domain identified in Step 1.1, select

2-4

most relevant frameworks from the toolkit above

Complementary

Choose complementary rather than overlapping frameworks (e.g., macro-level with PESTEL + micro-level with Porter's Five Forces)

Depth over Breadth

Better to deeply apply 2 frameworks than superficially stack 6

Data-Feasible

Selected frameworks must be supportable by downstream data collection skills — if the data required by a framework cannot be reasonably obtained, downgrade or substitute
Explicit Mapping: In the chapter skeleton, explicitly annotate which framework each chapter uses and how it is applied Framework Selection Output Format

|

| | Market Size & Growth Trends | TAM-SAM-SOM + Product Life Cycle | TAM-SAM-SOM to quantify market space, PLC to determine market stage | | Competitive Landscape Assessment | Porter's Five Forces + Strategic Group Mapping | Five Forces to assess industry competition intensity, Group Mapping to visualize competitive positioning | | Consumer Profiling | RFM + Consumer Decision Journey | RFM to segment customer value, Decision Journey to identify key conversion nodes | | Brand Strategy Recommendations | SWOT + Blue Ocean Strategy | SWOT to summarize overall landscape, Blue Ocean to guide differentiation direction | Step 1.3: Design Chapter Skeleton Produce a hierarchical chapter structure. Each chapter must include: Chapter Title — Professional, concise, subject-based (follow titling constraints in Formatting section) Analysis Objective — What this chapter aims to reveal Analysis Logic — The reasoning chain or framework (must reference the frameworks selected in Step 1.2) Core Hypothesis — Preliminary hypotheses to be validated or refuted by data Chapter Skeleton Output Format

Analysis Framework

Chapter 1: [Title]

Analysis Objective

[This chapter aims to...]

Analysis Logic

[Framework or reasoning chain used]

Core Hypothesis

[Hypotheses to validate]

Data Requirements

(see Step 1.4)

**
Visualization Plan
**: (see Step 1.5)

Chapter 2: [Title] ... Step 1.4: Define Data Query Requirements Per Chapter For each chapter, specify exactly what data needs to be collected . This is the bridge to downstream data collection skills. Each data requirement entry must include: Field Description Data Metric The specific metric or data point needed (e.g., "China skincare market size 2020-2025 (in billion CNY)") Data Type Quantitative, Qualitative, or Mixed Suggested Sources Suggested source categories: Industry reports, financial statements, government statistics, social media, e-commerce platforms, survey data, news Search Keywords Suggested search queries for data collection agents Priority P0 (Required) / P1 (Important) / P2 (Supplementary) Time Range The time period the data should cover Data Requirements Output Format (per chapter)

Data Requirements |

|

Visualization & Content Plan
**
Chart 1
**: [Type] — [Title]

X-axis: [Dimension], Y-axis: [Metric]
Data source: Corresponds to Data Requirement #1, #2 ** Comparison Table ** : | Dimension | Item A | Item B | Item C | |

|

|

Argument Structure

:

1.

Observation (What)

[Surface phenomenon revealed by data]

2.

Attribution (Why)

[Driving factors or underlying causes]
3.
**
Implication (So What)
**: [Strategic implications or recommended actions] Step 1.6: Output Complete Analysis Framework Assemble all outputs into a single, structured Analysis Framework Document :

[Research Subject] Analysis Framework

Research Overview

Research Subject

[...]

Scope

[Geography, time range, industry segment]

Analysis Domain

[Market / Finance / Industry / Brand / Consumer / ...]

**
Core Research Questions
**: [1-3 key questions]

|

| | ... | ... | ... |

Chapter Skeleton

1. [Chapter Title]

Analysis Objective

[...]

Analysis Logic

[...]

**
Core Hypothesis
**: [...]

Data Requirements |

|

| | ... | ... | ... | ... | ... | ... | ... |

Visualization & Content Plan [Chart plan + Comparison table design + Argument structure]

[Chapter Title] ...

N. [Chapter Title] ...

Data Collection Task List

[Consolidate all P0/P1 data requirements across chapters into a structured task list for downstream data collection skills to execute]

Phase 1 Quality Checklist

Analysis framework covers all natural dimensions for the identified domain

2-4 professional analysis frameworks are selected and explicitly mapped to chapters

Selected frameworks are complementary (not overlapping) and data-feasible

Each chapter has clear Analysis Objective, Analysis Logic (referencing chosen framework), and Core Hypothesis

Data requirements are specific, measurable, and include search keywords

Every chapter has at least one visualization plan

Data priorities (P0/P1/P2) are assigned realistically

The framework is actionable — a data collection agent can execute on the Search Keywords directly

Data Collection Task List is comprehensive and deduplicated

Phase 1→2 Handoff: Data Collection & Chart Generation

After the analysis framework is generated, it is handed off to

other data collection skills

(e.g., deep-research, data-analysis, web search agents) to:

Execute the

Search Keywords

from each chapter's data requirements

Collect quantitative data, qualitative insights, and source URLs

Generate charts based on the

Visualization & Content Plan

Return a

Data Package

containing:

Data Summary

Raw numbers, metrics, and qualitative findings per chapter

Chart Files

Generated chart images with local file paths

External Search Findings

Source URLs and summaries for citations

This skill does NOT perform data collection.

It only produces the framework (Phase 1) and the final report (Phase 2).

Chart Generation

If a visualization/charting skill is available (e.g., data-analysis, image-generation), chart generation can be deferred to the beginning of Phase 2 — see Step 2.3.

Phase 2: Report Generation

Purpose

Receive the completed

Analysis Framework

and

Data Package

from upstream, and synthesize them into a final consulting-grade report.

Phase 2 Inputs

Input

Description

Required

Analysis Framework

The framework document produced in Phase 1

Yes

Data Summary

Collected data organized per chapter from the data collection phase

Yes

Chart Files

Local file paths for generated chart images. If not provided, will be generated in Step 2.3 using available visualization skills

Optional

External Search Findings

URLs and summaries for inline citations

Optional

Phase 2 Workflow

Step 2.1: Receive and Validate Inputs

Verify that all required inputs are present:

Analysis Framework

— Confirm it contains chapter skeleton, data requirements, and visualization plans

Data Summary

— Confirm it contains data organized per chapter, cross-reference against P0 requirements

Chart Files

— Confirm file paths are valid local paths

If any P0 data is missing, note it in the report and flag for the user.

Step 2.2: Map Report Structure

Map the final report structure from the Analysis Framework:

Abstract

— Executive summary with key takeaways

Introduction

— Background, objectives, methodology

Main Body Chapters (2...N)

— Mapped from the Framework's chapter skeleton

Conclusion

— Pure, objective synthesis

References

— GB/T 7714-2015 formatted references

Step 2.3: Generate Chapter Charts (Pre-Report Visualization)

Before writing the report, generate all planned charts from the Analysis Framework's

Visualization & Content Plan

. This step ensures every sub-chapter has its "Visual Anchor" ready before narrative writing begins.

When to Execute This Step

Chart Files already provided

Skip this step — proceed directly to Step 2.4.

Chart Files NOT provided but a visualization skill is available

Execute this step to generate all charts first.

No Chart Files and no visualization skill available

Skip this step — use comparison tables as the primary visual anchor in Step 2.4, and note the absence of charts.
Chart Generation Workflow
Extract Chart Tasks: Parse all Visualization & Content Plan entries from the Analysis Framework to build a chart generation task list:

Chapter

Chart Type

Chart Title

Data Mapping

Data Source

1

2.1

Line chart

Market Size Trend 2020-2025

X: Year, Y: Market Size (billion CNY)

Data Requirement #1, #2

2

3.1

Pie chart

Consumer Age Distribution

Segments: Age groups, Values: Share %

Data Requirement #5

...

Prepare Chart Data

For each chart task, extract the corresponding data points from the

Data Summary

.

CRITICAL

Use ONLY the numbers provided in the Data Summary. Do NOT invent or "smooth" data to make charts look better. If data points are missing, the chart must reflect that reality (e.g., broken line or missing bar), or the chart type must be adjusted.

Delegate to Visualization Skill

Invoke the available visualization/charting skill (e.g.,
data-analysis
) for each chart task with:
Chart type and title
Structured data
Axis labels and formatting preferences
Output file path convention:
charts/chapter_{N}_{chart_index}.png
Collect Chart File Paths: Record all generated chart file paths for embedding in Step 2.4:

Generated Charts |

|

|

1

|

2.1

|

Market Size Trend 2020-2025

|

charts/chapter_2_1.png

|

2

|

3.1

|

Consumer Age Distribution

|

charts/chapter_3_1.png

|

Validate

Confirm all P0-priority charts have been generated. If any chart generation fails, note it and fall back to comparison tables for that sub-chapter.

Principle

Complete ALL chart generation before starting report writing. This ensures a consistent visual narrative and avoids interleaving generation with writing.

Step 2.4: Write the Report

For each sub-chapter, follow the

"Visual Anchor → Data Contrast → Integrated Analysis"

flow:

Visual Evidence Block

Embed charts using

— use the file paths collected in Step 2.3

Data Contrast Table

Create a Markdown comparison table for key metrics

Source Rule

Every number in the table must come from the Data Summary. No hallucinations.

Integrated Narrative Analysis

Write analytical text following "What → Why → So What"

Narrative Rule

Narrative must explain the

provided

data. Do not make claims unsupported by the inputs.

Each sub-chapter must end with a robust analytical paragraph (min. 200 words) that:

Synthesizes conflicting or reinforcing data points

Reveals the underlying user tension or opportunity

Optionally ends with a punchy "One-Liner Truth" in a blockquote (

>

)

Step 2.5: Final Structure Self-Check

Before outputting, confirm the report contains

all sections in order

:

Abstract → 1. Introduction → 2...N. Body Chapters → N+1. Conclusion → N+2. References

Additionally verify:

All charts generated in Step 2.3 are embedded in the correct sub-chapters

Chart file paths in

references are valid

Sub-chapters without charts have comparison tables as visual anchors

The report

MUST NOT

stop after the Conclusion — it

MUST

include References as the final section.

Formatting & Tone Standards

Consulting Voice

Tone

McKinsey/BCG — Authoritative, Objective, Professional

Language

All headings and content in the language specified by

output_locale

Number Formatting

Use English commas for thousands separators (

1,000

not

1，000

)

Data emphasis

:

Bold

important viewpoints and key numbers

Titling Constraints

Numbering

Use standard numbering (

1.

,

1.1

) directly followed by the title

Forbidden Prefixes

Do NOT use "Chapter", "Part", "Section" as prefixes

Allowed Tone Words

Analysis, Profiling, Overview, Insights, Assessment

Forbidden Words

"Decoding", "DNA", "Secrets", "Mindscape", "Solar System", "Unlocking"

Sub-Chapter Conclusions

Requirement

End each sub-chapter with a robust analytical paragraph (min. 200 words).

Narrative Flow

This paragraph must look like a natural continuation of the text. It must synthesize the section's findings into a strategic judgment.

Content Logic

:

Synthesize the conflicting or reinforcing data points above.

Reveal the

underlying

user tension or opportunity.

Key Insight:

Optional

Only if you have a concise, punchy "One-Liner Truth", place it at the very end using a

Blockquote

(

>

) to anchor the section.

Insight Depth (The "So What" Chain)

Every insight must connect

Data → User Psychology → Strategy Implication

:

❌ Bad: "Females are 60%. Strategy: Target females."

✅ Good: "Females constitute 60% with a high TGI of 180. This suggests

the purchase decision is driven by aesthetic and social validation

rather than pure utility. Consequently, media spend should pivot

towards visual-heavy platforms (e.g., RED/Instagram) to maximize CTR,

treating male audiences only as a secondary gift-giving segment."

References

Inline

Use markdown links for sources (e.g.

Source Title

) when using External Search Findings

References section

Formatted strictly per
GB/T 7714-2015
Markdown Rules
Immediate Start: Begin directly with

Report Title

— no introductory text
No Separators: Do NOT use horizontal rules (

) Report Structure Template

[Report Title]

Abstract [Executive summary with key takeaways]

Introduction [Background, objectives, methodology]

[Body Chapter Title]

|

| | ... | ... | ... | [Integrated narrative analysis: What → Why → So What, min. 200 words]

[Optional: One-liner strategic truth]

2.2 [Sub-chapter Title] ...

N+1. Conclusion [Pure objective synthesis, NO bullet points, neutral tone] [Para 1: The fundamental nature of the group/market] [Para 2: Core tension or behavior pattern] [Final: One or two sentences stating the objective truth]

N+2. References [1] Author. Title[EB/OL]. URL, Date. [2] ... Complete Example Phase 1 Example: Framework Generation User provides: Research subject "Gen-Z Skincare Market Analysis" Phase 1 output (Analysis Framework):

Gen-Z Skincare Market Analysis Framework

Research Overview

Research Subject

Gen-Z Skincare Market Deep Analysis

Scope

China market, 2020-2025, consumers aged 18-27

**
Analysis Domain
**: Market Analysis + Consumer Insights
** Core Research Questions ** : 1. What is the size and growth momentum of the Gen-Z skincare market? 2. What is unique about Gen-Z consumer skincare behavior patterns? 3. How can brands effectively reach and convert Gen-Z consumers?

Chapter Skeleton

1. Market Size & Growth Trends

Analysis Objective

Quantify Gen-Z skincare market size and identify growth drivers

Analysis Logic

Total market → Segmentation → Growth rate → Driver decomposition

**
Core Hypothesis
**: Gen-Z is becoming the core engine of skincare consumption growth

Data Requirements |

|

Visualization & Content Plan
**
Chart 1
**: Line chart — China Skincare Market Size Trend 2020-2025 ** Argument Structure ** : 1. What: Quantified status of market size and Gen-Z share 2. Why: Consumption upgrade, ingredient-conscious consumers, social media driven 3. So What: Brands should prioritize building youth-oriented product lines

Consumer Profiling & Behavioral Insights ...

Data Collection Task List [Consolidated P0/P1 tasks] Phase 2 Example: Report Generation After data collection, user provides: Analysis Framework + Data Summary with brand metrics + chart file paths. Phase 2 output (Final Report) follows this flow: Start with

Gen-Z Skincare Market Deep Analysis Report

Abstract — 3-5 key takeaways in executive summary form
Introduction — Market context, research scope, data sources
Market Size & Growth Trend Analysis — Embed trend charts, comparison tables, strategic narrative
Consumer Profiling & Behavioral Insights — Demographics, purchase drivers, "So What" analysis
Brand Competitive Landscape Assessment — Brand positioning, share analysis, competitive dynamics
Marketing Strategy & Channel Insights — Channel effectiveness, content strategy implications
Conclusion — Objective synthesis in flowing prose (no bullets)
References — GB/T 7714-2015 formatted list
Quality Checklists
Phase 1 Quality Checklist (Analysis Framework)
Framework covers all natural analytical dimensions for the identified domain
Each chapter has clear Analysis Objective, Analysis Logic, and Core Hypothesis
Data requirements are specific, measurable, and include actionable Search Keywords
Every chapter has at least one visualization plan with chart type and data mapping
Data priorities (P0/P1/P2) are assigned — P0 items are essential for core arguments
Data Collection Task List is comprehensive, deduplicated, and ready for downstream execution
Framework adapts to the correct domain (market/finance/industry/consumer/etc.)
Phase 2 Quality Checklist (Final Report)
NO HALLUCINATION: All numbers and charts are verified against the input Data Summary All planned charts generated before report writing (Step 2.3 completed first) All sections present in correct order (Abstract → Introduction → Body → Conclusion → References) Every sub-chapter follows "Visual Anchor → Data Contrast → Integrated Analysis" Every sub-chapter ends with a min. 200-word analytical paragraph All insights follow the "Data → User Psychology → Strategy Implication" chain All headings use proper numbering (no "Chapter/Part/Section" prefixes) Charts are embedded with syntax Numbers use English commas for thousands separators Inline references use markdown links where applicable References section follows GB/T 7714-2015 No horizontal rules (

) in the document Conclusion uses flowing prose — no bullet points Report starts directly with

title — no preamble

Missing P0 data is explicitly flagged in the report

Output Format

Phase 1

Output the complete Analysis Framework in

Markdown

format

Phase 2

Output the complete Report in

Markdown

format

Settings

output_locale = zh_CN # configurable per user request

reasoning_locale = en

Notes

This skill operates in

two phases

of a multi-step agentic workflow:

Phase 1

produces the analysis framework and data collection requirements

Data collection

is performed by other skills (deep-research, data-analysis, etc.)

Phase 2

receives the collected data and produces the final report

Dynamic titling:

Rewrite

topics from the Framework into professional, concise subject-based headers

The Conclusion section must contain

NO

detailed recommendations — those belong in the preceding body chapters

ZERO HALLUCINATION POLICY

Each statement, chart, and number in the report must be supported by data points from the input Data Summary. If data is missing, admit it.
Traceability: If requested, you must be able to point to the specific line in the Data Summary or External Search Findings that supports a claim. The framework should adapt its analytical dimensions and depth to the specific domain (financial analysis uses different frameworks than consumer insights) When the research subject is ambiguous, default to the broadest reasonable scope and note assumptions

安装

|

|

Chapter 1: [Title]

[This chapter aims to...]

[Framework or reasoning chain used]

[Hypotheses to validate]

(see Step 1.4)

|

|

|

|

|

|

[Type] — [Title]

X-axis: [Dimension], Y-axis: [Metric]

|

|

|

Research Overview

[...]

[Geography, time range, industry segment]

[Market / Finance / Industry / Brand / Consumer / ...]

|

|

1. [Chapter Title]

[...]

[...]

|

|

|

|

|

|

|

|

|

Report Title

|

|

Research Overview

Gen-Z Skincare Market Deep Analysis

China market, 2020-2025, consumers aged 18-27

Market Analysis + Consumer Insights

1. Market Size & Growth Trends

Quantify Gen-Z skincare market size and identify growth drivers

Total market → Segmentation → Growth rate → Driver decomposition

|

|

|

|

|

|

Gen-Z Skincare Market Deep Analysis Report