{
  "datasetId": "ai-product-decision-defense-cards-v1",
  "schemaVersion": "1.0.0",
  "createdAt": "2026-07-21",
  "language": "zh-CN",
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "disclosureZh": "DragonAI 运营 AI 产品经理课程。本答辩卡是第一方练习工具，不是企业真题、统一选拔标准、职业认证或录用保证。",
  "responseFields": [
    "decision",
    "evidence",
    "tradeoff",
    "failure",
    "next_validation"
  ],
  "evidenceStatusValues": [
    "verified",
    "pending",
    "not_applicable"
  ],
  "assessmentMethodZh": "每题分别记录结论、依据、取舍、失败和下一步，并保存证据位置、版本和复核问题；不计算总分、能力等级或任何职业结果概率。",
  "cards": [
    {
      "cardId": "D01",
      "category": "problem_product",
      "questionZh": "一个任务为什么需要 AI，而不是规则、搜索或人工流程？",
      "requiredEvidenceZh": [
        "用户任务",
        "当前基线",
        "替代方案比较",
        "成功与停止条件"
      ]
    },
    {
      "cardId": "D02",
      "category": "problem_product",
      "questionZh": "怎样定义产品成功、失败和暂不做范围？",
      "requiredEvidenceZh": [
        "用户结果",
        "产品指标",
        "模型指标",
        "严重失败",
        "时间窗口"
      ]
    },
    {
      "cardId": "D03",
      "category": "problem_product",
      "questionZh": "用户何时应信任、核验、纠错、退出或转人工？",
      "requiredEvidenceZh": [
        "正常流程",
        "失败流程",
        "能力说明",
        "反馈和接管测试"
      ]
    },
    {
      "cardId": "D04",
      "category": "system_data",
      "questionZh": "数据和上下文从哪里来，怎样更新、删除并处理冲突？",
      "requiredEvidenceZh": [
        "来源",
        "用途",
        "许可或同意",
        "版本",
        "质量",
        "冲突和删除规则"
      ]
    },
    {
      "cardId": "D05",
      "category": "system_data",
      "questionZh": "为什么选择基础模型、RAG、微调或混合方案？",
      "requiredEvidenceZh": [
        "问题类型",
        "更新频率",
        "追溯要求",
        "数据条件",
        "评测",
        "运维成本"
      ]
    },
    {
      "cardId": "D06",
      "category": "system_data",
      "questionZh": "Agent 可以调用哪些工具，权限、参数、重试和停止条件是什么？",
      "requiredEvidenceZh": [
        "工具白名单",
        "最小权限",
        "确认点",
        "日志",
        "越权和失败测试"
      ]
    },
    {
      "cardId": "D07",
      "category": "evaluation_operations",
      "questionZh": "怎样建立第一版评测集？",
      "requiredEvidenceZh": [
        "任务来源",
        "正常与风险切片",
        "版本",
        "标签规则",
        "缺失和争议处理"
      ]
    },
    {
      "cardId": "D08",
      "category": "evaluation_operations",
      "questionZh": "哪些指标和阈值决定发布、灰度、阻断或回滚？",
      "requiredEvidenceZh": [
        "指标定义",
        "方向",
        "阈值",
        "严重失败",
        "逐条结果",
        "决定"
      ]
    },
    {
      "cardId": "D09",
      "category": "evaluation_operations",
      "questionZh": "质量、延迟、成本和可用性冲突时怎样取舍？",
      "requiredEvidenceZh": [
        "关键用户切片",
        "预算",
        "基线",
        "降级方案",
        "联合门槛"
      ]
    },
    {
      "cardId": "D10",
      "category": "delivery_review",
      "questionZh": "怎样灰度发布，并区分已发布和已采用？",
      "requiredEvidenceZh": [
        "目标人群",
        "范围",
        "责任人",
        "支持入口",
        "采用指标",
        "停止规则"
      ]
    },
    {
      "cardId": "D11",
      "category": "delivery_review",
      "questionZh": "生产中出现高影响错误时，怎样发现、降级、升级、回滚和复审？",
      "requiredEvidenceZh": [
        "监测",
        "事件分级",
        "负责人",
        "人工接管",
        "回滚演练",
        "复审日期"
      ]
    },
    {
      "cardId": "D12",
      "category": "delivery_review",
      "questionZh": "在一个项目里，个人作了哪个关键决定，证据怎样改变了它？",
      "requiredEvidenceZh": [
        "个人贡献",
        "团队边界",
        "原版本",
        "反证",
        "修改",
        "复测"
      ]
    }
  ],
  "blankResponse": {
    "cardId": "",
    "scenarioZh": "",
    "constraintsZh": [],
    "decisionZh": "",
    "evidence": [],
    "tradeoffZh": "",
    "failureZh": "",
    "nextValidationZh": "",
    "evidenceStatus": "pending",
    "answerVersion": "",
    "reviewQuestionsZh": [],
    "limitationsZh": []
  },
  "reviewProtocol": [
    {
      "round": 1,
      "nameZh": "首答",
      "durationMinutes": 3,
      "ruleZh": "只用已给信息形成五段回答，不添加虚构数据。"
    },
    {
      "round": 2,
      "nameZh": "追问",
      "durationMinutes": 5,
      "ruleZh": "删除关键假设或加入失败条件，检查结论是否有证据地变化。"
    },
    {
      "round": 3,
      "nameZh": "补证",
      "durationMinutes": 10,
      "ruleZh": "把未知标为待补证，并列出样例、日志、实验、负责人和时间点。"
    }
  ],
  "sources": [
    {
      "evidenceId": "google-ml-problem-framing-20260720",
      "title": "Machine Learning Problem Framing: Overview",
      "publisher": "Google for Developers",
      "accessedAt": "2026-07-20",
      "url": "https://developers.google.com/machine-learning/problem-framing/problem-framing"
    },
    {
      "evidenceId": "google-pair-mental-models-20260720",
      "title": "People + AI Guidebook: Mental Models",
      "publisher": "Google PAIR",
      "accessedAt": "2026-07-20",
      "url": "https://pair.withgoogle.com/guidebook-v2/chapter/mental-models/"
    },
    {
      "evidenceId": "google-pair-data-collection-evaluation-20260720",
      "title": "People + AI Guidebook: Data Collection + Evaluation",
      "publisher": "Google PAIR",
      "accessedAt": "2026-07-20",
      "url": "https://pair.withgoogle.com/guidebook-v2/chapter/data-collection/"
    },
    {
      "evidenceId": "nist-ai-rmf-core-20260720",
      "title": "AI Risk Management Framework Core",
      "publisher": "National Institute of Standards and Technology",
      "accessedAt": "2026-07-20",
      "url": "https://airc.nist.gov/airmf-resources/airmf/5-sec-core/"
    },
    {
      "evidenceId": "nist-ai-rmf-generative-ai-profile-20260720",
      "title": "Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile",
      "publisher": "National Institute of Standards and Technology",
      "accessedAt": "2026-07-20",
      "url": "https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf"
    }
  ],
  "title": "AI 产品决策十二道答辩卡 v1",
  "description": "用于口头答辩和项目复盘的十二道决策卡，逐题记录结论、依据、取舍、失败、下一步、证据版本和复核问题，不生成总分或能力等级。",
  "url": "https://course.dragonai.tech/datasets/ai-product-decision-defense-cards-v1.json",
  "creator": "烛龙智元内容研究组"
}