{
  "datasetId": "ai-product-manager-project-case-study-example-v1",
  "schemaVersion": "1.0.0",
  "createdAt": "2026-07-21",
  "language": "zh-CN",
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "exampleClass": "fictional_teaching_example",
  "disclosureZh": "DragonAI 运营 AI 产品经理课程；本文件由 DragonAI 构造用于教学。所有组织、角色、数据、运行结果和决定均为虚构样例，不代表真实客户、学员、生产系统或业务成果。",
  "project": {
    "projectId": "fictional-beichen-support-knowledge-assistant",
    "titleZh": "北辰客服知识助手",
    "projectType": "fictional_teaching_case",
    "evidenceContext": "simulated",
    "realUsersInvolved": false,
    "productionDeployed": false,
    "dataContext": "synthetic",
    "resultClaimsAreObserved": false,
    "problemCard": {
      "userZh": "虚构的一线内部客服",
      "taskZh": "从已批准政策中查找依据并形成待人工确认的回复草稿",
      "nonAiBaselineZh": "人工关键词搜索和多文档对照",
      "excludedScopeZh": [
        "自动发送消息",
        "修改账户",
        "批准退款",
        "替代领域负责人判断"
      ],
      "stopConditionsZh": [
        "依据无法追溯",
        "引用未授权或失效来源",
        "尝试越权动作",
        "高风险政策错误"
      ]
    },
    "decisionOptions": [
      {
        "option": "manual_keyword_search",
        "decision": "retain_as_baseline_and_fallback"
      },
      {
        "option": "base_model_without_retrieval",
        "decision": "exclude_from_limited_pilot"
      },
      {
        "option": "rag_prototype",
        "decision": "proceed_to_offline_evaluation"
      },
      {
        "option": "fine_tuning",
        "decision": "not_selected_for_current_information_update_problem"
      }
    ],
    "behaviorContract": [
      {
        "condition": "single_current_authorized_source",
        "requiredBehaviorZh": "生成带来源和适用条件的草稿，等待人工确认"
      },
      {
        "condition": "conflicting_sources",
        "requiredBehaviorZh": "展示冲突、版本和日期，不合成单一确定答案"
      },
      {
        "condition": "no_sufficient_source",
        "requiredBehaviorZh": "说明证据不足并转人工查询"
      },
      {
        "condition": "action_request",
        "requiredBehaviorZh": "拒绝执行，只提供允许的只读信息"
      }
    ],
    "dataRegisterFields": [
      "owner",
      "approvalStatus",
      "effectiveAt",
      "expiresAt",
      "version",
      "accessScope",
      "deletionPath"
    ],
    "evaluationPlan": {
      "exampleOnly": true,
      "slices": [
        "single_current_source",
        "multiple_consistent_sources",
        "conflicting_sources",
        "expired_source",
        "no_relevant_source",
        "unauthorized_action_request"
      ],
      "blockingFailures": [
        "expired_or_unauthorized_citation",
        "unsupported_certain_policy_answer",
        "unauthorized_action",
        "hidden_source_conflict",
        "missing_human_handoff"
      ],
      "registeredCaseCount": 12,
      "firstRun": {
        "passedCaseCount": 11,
        "blockingFailureCount": 1,
        "decision": "block_full_release_and_revise"
      },
      "noteZh": "数量仅用于演示记录结构和决定逻辑，不是实测性能或推荐阈值。"
    },
    "failureReview": {
      "failureId": "F01",
      "symptomZh": "新旧政策同时召回时引用了旧版本",
      "rootCauseHypothesisZh": "摄取和检索阶段未可靠过滤失效版本",
      "changesZh": [
        "摄取时校验生效与失效日期",
        "检索时过滤失效版本",
        "冲突时停止合成单一答案",
        "增加旧版本索引残留回归样例"
      ],
      "retestStatus": "pending_not_observed",
      "retestScopeZh": "只复测预先登记的 12 条教学样例，不外推到真实查询或生产安全",
      "remainingRisksZh": [
        "真实查询分布未知",
        "文档元数据可能不完整",
        "长期漂移未观察",
        "人工确认质量未验证"
      ]
    },
    "releaseRecord": {
      "decision": "fictional_limited_internal_read_only_pilot",
      "fullReleaseApproved": false,
      "constraintsZh": [
        "内部使用",
        "只读",
        "人工确认",
        "保留来源和版本",
        "具备转人工与回滚路径"
      ],
      "deploymentEvidence": null,
      "adoptionEvidence": null,
      "businessOutcomeEvidence": null
    }
  },
  "reusableRecordFields": [
    "problemCard",
    "decisionOptions",
    "behaviorContract",
    "dataRegisterFields",
    "evaluationPlan",
    "failureReview",
    "releaseRecord"
  ],
  "sources": [
    {
      "evidenceId": "google-ml-problem-framing-20260720",
      "url": "https://developers.google.com/machine-learning/problem-framing/problem-framing"
    },
    {
      "evidenceId": "google-pair-data-collection-evaluation-20260720",
      "url": "https://pair.withgoogle.com/guidebook-v2/chapter/data-collection/"
    },
    {
      "evidenceId": "nist-ai-rmf-core-20260720",
      "url": "https://airc.nist.gov/airmf-resources/airmf/5-sec-core/"
    },
    {
      "evidenceId": "microsoft-advanced-rag-systems-20260720",
      "url": "https://learn.microsoft.com/en-us/azure/developer/ai/advanced-retrieval-augmented-generation"
    },
    {
      "evidenceId": "google-cloud-rag-evaluation-20260720",
      "url": "https://cloud.google.com/blog/products/ai-machine-learning/optimizing-rag-retrieval?hl=en"
    }
  ],
  "title": "AI 产品经理项目实战案例记录 v1",
  "description": "一个明确标注为虚构教学样例的客服知识库项目记录，覆盖问题卡、方案比较、行为合同、数据字段、评测门禁、失败复盘和受限发布决定。",
  "url": "https://course.dragonai.tech/datasets/ai-product-manager-project-case-study-example-v1.json",
  "creator": "烛龙智元内容研究组"
}