Decision Structure Analysis Report

1. Problem Restatement

Original problem:

I'm really anxious. I feel like it'll be too late if I don't leave. It's so competitive in China. Seeing others leaving, should I also leave quickly?

Restated core problem:

Given personal background, goals, and constraints, what is the long-term value and cost structure of geographical migration compared to the current situation?

Identified emotional elements:

• Anxiety: 'I'm really anxious'
• Sense of urgency: 'It'll be too late if...'
• Group pressure: 'Seeing others leaving'
• Competition anxiety: 'It's so competitive'

2. Variables and Constraints

Goals

• Long-term income stability
• Career development space
• Identity and safety margin

Key Variables

• Age
• Skill transferability
• Financial reserves
• Language ability

Hard Constraints

• Visa/policy restrictions
• Financial constraints
• Time window

Sources of Uncertainty

• Policy changes
• Economic cycle fluctuations
• Industry development trends

3. Strategy Space

Strategy A: Act Immediately (Aggressive)

Prerequisites: Have a clear understanding of the goal, have basic resources, and be able to bear the worst consequences. Execution costs: Full-time commitment; upfront financial investment; giving up other paths. Worst-case scenario: Fail after full commitment, lose time and money, and have difficulty returning to the original state.

Strategy B: Wait and Observe (Conservative)

Prerequisites: The current state is sustainable, have information channels during the waiting period, and the delay won't result in missed opportunities. Execution costs: Time consumption during the waiting period; possible missed window of opportunity; continuous anxiety. Worst-case scenario: The window closes, and the best opportunity is permanently missed.

Strategy C: Pursue Two Paths Simultaneously (Hedging)

Prerequisites: Have the energy to maintain multiple paths, and there are no serious conflicts between the paths. Execution costs: Energy dispersion; possible double investment; efficiency loss. Worst-case scenario: Make no progress in both paths, and the dispersion of resources leads to insufficient competitiveness.

Strategy D: Abandon and Switch (Stop-loss)

Prerequisites: There are feasible alternative directions, and the sunk costs are acceptable. Execution costs: Sunk costs; psychological acceptance costs; reconstruction costs. Worst-case scenario: The original direction unexpectedly improves after abandonment, resulting in strong regret.

4. Risk and Reward Distribution

Strategy A: Act Immediately

20% ████ Goal achieved,收益 meets or exceeds expectations 35% ███████ Partially achieved, results are lower than expected but there are still gains 30% ██████ Encounter significant resistance, need to adjust the plan 15% ███ Execution fails, need to bear losses and re-plan

5. Cognitive Bias Prompt

⚠️ Group Pressure

Manifestation: Detected from the statement: Group pressure: 'Seeing others leaving' Advice: Clarify your unique conditions and goals, as different people are suitable for different paths.

⚠️ Short-term Focus Bias

Manifestation: Detected from the statement: Sense of urgency: 'It'll be too late if...' Advice: Think from a longer time perspective and distinguish between 'real urgency' and 'false urgency'.

This analysis aims to expose the decision structure rather than provide an answer. The final choice depends on your trade-off between your goals and constraints.

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## 🔧 Technical Details

### Technology Stack
- **Runtime**: Node.js
- **Language**: TypeScript
- **Protocol**: Model Context Protocol (MCP)
- **Schema**: Zod

### Development
```bash
# Development mode (hot reload)
npm run dev

# Build
npm run build

# Debug using MCP Inspector
npm run inspect

Project Structure

src/
├── index.ts              # MCP server entry
├── types/                # Type definitions
├── analyzers/            # Core analysis modules
│   ├── reframe.ts        # Problem restatement
│   ├── variables.ts      # Variable identification
│   ├── strategies.ts     # Strategy generation
│   ├── risk.ts           # Risk analysis
│   └── bias.ts           # Bias detection
├── prompts/              # Prompt templates
└── tools/                # MCP tool definitions