https://yennj12.js.org/yennj12_blog_V4/tags/customer-success/Recent content in Customer Success on YennJ12 Engineering BlogHugo -- gohugo.ioen-usTue, 26 May 2026 17:09:24 +0900https://yennj12.js.org/yennj12_blog_V4/posts/ai-fde-essential-guide-part5-zh/Tue, 26 May 2026 17:09:24 +0900https://yennj12.js.org/yennj12_blog_V4/posts/ai-fde-essential-guide-part5-zh/前言 AI Forward Deployed Engineer 的成功不僅取決於技術能力，更在於與客戶的有效協作與問題解決能力。本系列最終篇將深入探討客戶需求分析、技術溝通策略、專案交付管理，以及從原型到生產的完整實務流程，幫助 AI FDE 實現可量化的商業價值。 1. 客戶需求分析與發現 業務需求挖掘框架 結構化需求分析方法： 1from dataclasses import dataclass 2from typing import Dict, List, Optional, Tuple 3from enum import Enum 4import json 5 6class RequirementPriority(Enum): 7 CRITICAL = "critical" 8 HIGH = "high" 9 MEDIUM = "medium" 10 LOW = "low" 11 12class RequirementType(Enum): 13 FUNCTIONAL = "functional" 14 PERFORMANCE = "performance" 15 SECURITY = "security" 16 COMPLIANCE = "compliance" 17 INTEGRATION = "integration" 18 USABILITY = "usability" 19 20@dataclass 21class BusinessRequirement: 22 requirement_id: str 23 title: str 24 description: str 25 business_value: str 26 success_criteria: List[str] 27 priority: RequirementPriority 28 requirement_type: RequirementType 29 stakeholders: List[str] 30 estimated_impact: str 31 dependencies: List[str] 32 acceptance_criteria: List[str] 33 34class RequirementAnalysisFramework: 35 def __init__(self): 36 self.