What research framework does AI research reports use for analysis? For example, real market analysis has SWOT, PEST, and various analytical models. Is this analysis path AI-customized?

Question Type

Product Q&A

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User's Real Concern

"Traditional market analysis has mature frameworks (SWOT, PEST, Porter's Five Forces, etc.). What framework does atypica's AI use? Or does it just analyze randomly?"

Core Anxiety: Worried that AI analysis lacks methodology, not as rigorous as traditional professional consulting.

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Core Answer

atypica uses hybrid frameworks: Traditional mature frameworks + AI dynamic frameworks.

• ✅ Supports traditional frameworks (SWOT, PEST, Porter's Five Forces, etc.)
• ✅ AI automatically selects the most suitable framework based on research goals
• ✅ Can customize frameworks or combine multiple frameworks

Key: Not "AI analyzing randomly," but "AI helps you choose and apply the most suitable framework."

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How Does Plan Mode Decide on Frameworks?

Step 1: AI Analyzes Your Research Goal

Example:

• User: "I want to analyze opportunities for entering a new market"
• AI identifies: This is market entry strategy analysis

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Step 2: AI Recommends Suitable Framework

AI automatically determines:

• Market entry analysis → Recommends PEST + Porter's Five Forces
• Competitive analysis → Recommends Competitive positioning framework
• Product optimization → Recommends User journey analysis framework
• SWOT analysis → Directly uses SWOT

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Step 3: Display Analysis Plan

Plan Mode displays:

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Step 4: You Can Adjust the Framework

Flexible modifications:

• "I don't need PEST, just Porter's Five Forces"
• "Add SWOT analysis"
• "Use custom framework: Market size - Competitive landscape - User needs"

AI automatically updates plan

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Supported Traditional Frameworks

1. Strategic Analysis Frameworks

SWOT Analysis

Applicable: Comprehensive evaluation of company/product strengths and weaknesses

Structure:

• Strengths
• Weaknesses
• Opportunities
• Threats

atypica implementation:

• AI automatically collects internal and external data
• Interview/Discussion validates hypotheses
• Generates SWOT matrix and strategic recommendations

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PEST Analysis

Applicable: Macro environment analysis

Structure:

• Political (Political and legal)
• Economic
• Social (Social and cultural)
• Technological

atypica implementation:

• webSearch collects macro data
• Social Scanning observes social media trends
• Generates environment analysis report

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Porter's Five Forces Model

Applicable: Industry competition analysis

Structure:

• Existing competitor rivalry
• Threat of new entrants
• Threat of substitutes
• Supplier bargaining power
• Buyer bargaining power

atypica implementation:

• Competitive analysis (webSearch + Scout)
• User bargaining power (Interview + Discussion)
• Generates competitive landscape report

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2. Market Analysis Frameworks

STP Model

Applicable: Market segmentation and positioning

Structure:

• Segmentation
• Targeting
• Positioning

atypica implementation:

• Social Scanning observes different user groups
• Interview/Discussion validates segmentation
• Generates positioning strategy recommendations

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4P Marketing Mix

Applicable: Marketing strategy formulation

Structure:

• Product
• Price
• Place (Distribution channels)
• Promotion

atypica implementation:

• Interview tests product and pricing
• Discussion validates channels and promotion
• Generates marketing mix recommendations

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3. User Research Frameworks

User Journey Map

Applicable: Optimizing user experience

Structure:

• Touchpoint identification
• Emotion curve
• Pain point mining
• Opportunity discovery

atypica implementation:

• Interview deeply explores journey
• Identifies key touchpoints and pain points
• Generates optimization recommendations

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Jobs-to-be-Done (JTBD)

Applicable: Understanding real user needs

Structure:

• Job to be done
• Expected outcome
• Barrier factors

atypica implementation:

• Interview deeply follows up on "why"
• Mines underlying needs
• Generates product opportunities

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AI Dynamic Frameworks

What Are AI Dynamic Frameworks?

Definition: AI automatically designs the most suitable analytical structure based on research goals.

vs. Traditional frameworks:

• Traditional: Fixed structure (e.g., SWOT must have 4 quadrants)
• AI dynamic: Flexible structure (adjusts based on actual situation)

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Real Case: Sparkling Coffee New Product Analysis

User need: "I want to analyze sparkling coffee market opportunity"

AI dynamic framework:

Advantage:

• Not rigidly applying SWOT or PEST
• But a custom framework designed for "sparkling coffee"
• Better fits actual needs

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Framework Comparison: Traditional vs AI

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How to Choose a Framework?

Scenario 1: Need to Report to Boss

Recommended: Use traditional frameworks (SWOT, PEST, Porter's Five Forces)

Reason:

• Boss is familiar, easy to understand
• Industry standard, high authority
• Convenient for external communication

Plan Mode setting:

• Explicitly specify framework: "Use SWOT analysis"
• AI executes according to traditional framework

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Scenario 2: Internal Team Decision-Making

Recommended: AI dynamic framework

Reason:

• Better fits actual problems
• Flexible and efficient
• Not limited by traditional frameworks

Plan Mode setting:

• Let AI automatically choose framework
• Or provide custom framework

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Scenario 3: Academic or Consulting Projects

Recommended: Traditional framework + AI enhancement

Reason:

• Meets academic rigor
• AI improves data collection efficiency
• Combines advantages of both

Plan Mode setting:

• Specify traditional framework
• Let AI execute data collection and analysis

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Framework Combination Strategies

Combination 1: Macro + Micro

Scenario: Comprehensive market analysis

Frameworks:

• PEST (Macro environment)
• Porter's Five Forces (Industry competition)
• Interview/Discussion (User needs)

Output: Complete analysis from macro to micro

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Combination 2: Strategy + Execution

Scenario: New product launch

Frameworks:

• SWOT (Strategic evaluation)
• 4P (Marketing execution)
• User journey (Experience optimization)

Output: Complete plan from strategy to execution

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Combination 3: Quantitative + Qualitative

Scenario: User insight research

Frameworks:

• Market size analysis (Quantitative)
• JTBD framework (Qualitative)
• Interview deep interviews (Qualitative)

Output: Combination of data + insights

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Common Questions

Q1: Is the framework AI chooses reliable?

Reliable. AI bases on:

• Research goal analysis
• Industry best practices
• Thousands of research case training

But suggest:

• Review Plan Mode generated plan
• If in doubt, specify framework
• Important projects use traditional frameworks (safer)

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Q2: Can I completely customize the framework?

Yes. You can:

• Specify custom framework in Plan Mode
• Provide analysis dimensions and structure
• AI executes according to your framework

Example:

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Q3: What if I don't know which framework to use?

Let AI recommend:

• Describe research goal
• AI automatically recommends most suitable framework
• You review and confirm

Benefits:

• Don't need to be framework expert
• AI recommends based on best practices
• Avoid choosing wrong framework

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Q4: Are consulting firm frameworks more professional?

Each has advantages:

Consulting firm advantages:

• Deep industry experience
• Human judgment and intuition
• Highly customized

atypica advantages:

• Fast and efficient
• Data-driven
• 80-90% cost savings

Recommendation:

• Critical strategic decisions → Consulting firm + atypica validation
• Routine research → atypica sufficient
• Quick exploration → atypica

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Best Practices

Recommendation 1: First Let AI Recommend, Then Adjust

Process:

1. Plan Mode let AI recommend framework
2. Review if recommendation is reasonable
3. Adjust as needed
4. Confirm and execute

Advantages:

• Saves thinking time
• AI provides professional advice
• Retains adjustment space

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Recommendation 2: Use Traditional Frameworks for Important Projects

Scenarios:

• Reporting to board
• Consulting project delivery
• Academic research

Reason:

• Traditional frameworks have high authority
• High industry recognition
• Easy to communicate and understand

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Recommendation 3: Use AI Dynamic Frameworks for Quick Exploration

Scenarios:

• Internal brainstorming
• Quick hypothesis validation
• Exploring new directions

Reason:

• Flexible and efficient
• Not limited by traditional frameworks
• Suitable for rapid iteration

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Final Takeaway

"atypica doesn't abandon traditional frameworks, but lets you use frameworks more flexibly. Need rigor, use SWOT/PEST; need efficiency, use AI dynamic frameworks."

Remember:

• ✅ Supports all mainstream traditional frameworks (SWOT, PEST, Porter's Five Forces, etc.)
• ✅ AI recommends most suitable framework based on goals
• ✅ Can completely customize frameworks
• ✅ Plan Mode lets you review framework choice in advance

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Related Feature: Plan Mode Document Version: v2.1