{
  "datasetId": "ai-product-prd-field-checklist-v1",
  "schemaVersion": "1.0.0",
  "createdAt": "2026-07-20",
  "language": "zh-CN",
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "licenseScope": "The field structure, Chinese descriptions, review states, and blank record created by DragonAI. Third-party source material is excluded and remains under its original terms.",
  "purposeZh": "用于把 AI 产品 PRD 的要求连接到证据、测试、验收规则和负责人。",
  "disclosureZh": "DragonAI 运营 AI 产品经理课程。本清单是第一方编辑模板，不是统一行业标准，也不保证项目结果。",
  "assessmentMethodZh": "先按产品用途和风险确定必需部分，再逐项记录 missing、defined、testable 或 evidenced。状态不生成总体分数，高风险必需项的缺口不能由其他部分抵消。",
  "applicabilityRuleZh": "十部分是候选核验框架。每部分先判断是否适用于当前用途；不适用时记录理由，适用时再确定字段深度、证据和负责人。requiredFields 只表示该部分适用时通常需要核验的字段。",
  "reviewMethodEvidenceIds": [
    "cmu-creating-using-rubrics-20260720",
    "uic-rubrics-20260720"
  ],
  "reviewStates": [
    {
      "state": "missing",
      "nameZh": "缺失",
      "criterionZh": "没有要求、负责人或证据入口。"
    },
    {
      "state": "defined",
      "nameZh": "已定义",
      "criterionZh": "写了目标或规则，但没有测试样例和门槛。"
    },
    {
      "state": "testable",
      "nameZh": "可测试",
      "criterionZh": "已连接样例、指标、阈值或演练。"
    },
    {
      "state": "evidenced",
      "nameZh": "有证据",
      "criterionZh": "已有版本化结果、复核记录、负责人和变更触发条件。"
    }
  ],
  "sections": [
    {
      "sectionId": "decision-context-non-goals",
      "nameZh": "决策背景与非目标",
      "evidenceIds": [
        "google-ml-problem-framing-20260720"
      ],
      "requiredFields": [
        "userProblem",
        "currentBaseline",
        "whyAi",
        "alternatives",
        "expectedValue",
        "failureCost",
        "nonGoals",
        "stopConditions"
      ],
      "verificationQuestionsZh": [
        "是否用同一任务比较 AI、规则和人工方案？",
        "是否说明什么证据会使项目停止或转向？"
      ]
    },
    {
      "sectionId": "user-task-success",
      "nameZh": "用户任务与成功条件",
      "evidenceIds": [
        "google-pair-mental-models-20260720",
        "google-pair-data-collection-evaluation-20260720"
      ],
      "requiredFields": [
        "targetUsers",
        "taskContext",
        "taskSteps",
        "successDefinition",
        "userSlices",
        "riskSlices",
        "accessibilityNeeds"
      ],
      "verificationQuestionsZh": [
        "目标用户能否完成任务并复述系统边界？",
        "关键用户与风险切片是否单独验收？"
      ]
    },
    {
      "sectionId": "ai-behavior-contract",
      "nameZh": "AI 行为合同",
      "evidenceIds": [
        "google-pair-mental-models-20260720"
      ],
      "requiredFields": [
        "allowedInputs",
        "contextRules",
        "outputSchema",
        "evidenceRequirements",
        "uncertaintyBehavior",
        "prohibitedBehaviors",
        "clarificationRules",
        "refusalRules",
        "correctionPath",
        "versionFields"
      ],
      "verificationQuestionsZh": [
        "正常、边界、冲突和对抗输入是否有预期行为？",
        "用户能否发现、纠正或撤销错误？"
      ]
    },
    {
      "sectionId": "data-context",
      "nameZh": "数据与上下文",
      "evidenceIds": [
        "google-pair-data-collection-evaluation-20260720",
        "nist-ai-rmf-core-20260720"
      ],
      "requiredFields": [
        "source",
        "purpose",
        "permissionOrConsent",
        "representativeness",
        "qualityChecks",
        "sensitivity",
        "updateCadence",
        "retention",
        "deletionPath",
        "provenanceFields"
      ],
      "verificationQuestionsZh": [
        "输出能否追溯到允许使用的来源和版本？",
        "缺失、冲突和过期来源是否有处理规则？"
      ]
    },
    {
      "sectionId": "evaluation-release-gate",
      "nameZh": "评测与发布门禁",
      "evidenceIds": [
        "google-pair-data-collection-evaluation-20260720",
        "nist-ai-rmf-core-20260720"
      ],
      "requiredFields": [
        "evaluationPurpose",
        "datasetVersion",
        "caseSources",
        "sliceRules",
        "metrics",
        "thresholds",
        "minimumSampleSize",
        "missingResultPolicy",
        "criticalFailures",
        "releaseDecision"
      ],
      "verificationQuestionsZh": [
        "指标和阈值是否在看到结果前固定？",
        "严重失败是否独立阻断而非被平均分抵消？"
      ]
    },
    {
      "sectionId": "failure-human-handoff",
      "nameZh": "失败与人工接管",
      "evidenceIds": [
        "google-pair-mental-models-20260720",
        "nist-ai-rmf-core-20260720"
      ],
      "requiredFields": [
        "failureCategories",
        "severityLevels",
        "detectionSignals",
        "userMessage",
        "fallback",
        "humanConfirmation",
        "handoffOwner",
        "appealPath",
        "recoveryEvidence"
      ],
      "verificationQuestionsZh": [
        "是否演练过高影响失败的发现、升级、处置和恢复？",
        "用户是否知道何时由人工负责？"
      ]
    },
    {
      "sectionId": "agent-tool-permissions",
      "nameZh": "Agent 与工具权限",
      "evidenceIds": [
        "nist-ai-rmf-core-20260720"
      ],
      "requiredFields": [
        "toolAllowlist",
        "identity",
        "leastPrivilege",
        "parameterConstraints",
        "stateChanges",
        "idempotency",
        "retryLimit",
        "budgetLimit",
        "compensationActions",
        "stopConditions"
      ],
      "verificationQuestionsZh": [
        "能否从日志复原每次工具调用和状态变化？",
        "越权、重复调用和部分失败是否经过测试？"
      ]
    },
    {
      "sectionId": "risk-privacy-governance",
      "nameZh": "风险、隐私与治理",
      "evidenceIds": [
        "nist-ai-rmf-core-20260720"
      ],
      "requiredFields": [
        "riskRegister",
        "intendedUse",
        "prohibitedUse",
        "privacyControls",
        "securityControls",
        "humanOversight",
        "thirdPartyDependencies",
        "approvers",
        "residualRisk",
        "reviewTriggers"
      ],
      "verificationQuestionsZh": [
        "每项重要风险是否有负责人、控制措施和剩余风险？",
        "供应商或用途变化是否触发复审？"
      ]
    },
    {
      "sectionId": "operations-observability",
      "nameZh": "运行约束与可观测性",
      "evidenceIds": [
        "nist-ai-rmf-core-20260720"
      ],
      "requiredFields": [
        "latencyBudget",
        "costBudget",
        "availabilityTarget",
        "qualitySignals",
        "loggingFields",
        "alertThresholds",
        "retentionPolicy",
        "dashboardOwner",
        "peakConditions"
      ],
      "verificationQuestionsZh": [
        "质量、延迟、成本和可用性是否联合验证？",
        "日志是否足以定位版本、输入、工具和失败？"
      ]
    },
    {
      "sectionId": "release-adoption-change",
      "nameZh": "发布、采用与变更",
      "evidenceIds": [
        "nist-ai-rmf-core-20260720"
      ],
      "requiredFields": [
        "rolloutPlan",
        "migrationPlan",
        "trainingSupport",
        "feedbackEntry",
        "adoptionMetrics",
        "rollbackPlan",
        "releaseOwner",
        "changeLog",
        "retestTriggers",
        "reviewDate"
      ],
      "verificationQuestionsZh": [
        "是否完成发布就绪和回滚演练？",
        "是否区分已发布、已采用与用户结果变化？"
      ]
    }
  ],
  "blankReviewRecord": {
    "productName": "",
    "prdVersion": "",
    "reviewedAt": "",
    "sectionId": "",
    "requiredForUseCase": true,
    "notApplicableReasonZh": "",
    "reviewState": "missing",
    "requirementIds": [],
    "evidenceUrls": [],
    "testCaseIds": [],
    "acceptanceRulesZh": [],
    "owner": "",
    "reviewTrigger": "",
    "questionsRemainingZh": [],
    "notesZh": ""
  },
  "sources": [
    {
      "evidenceId": "google-ml-problem-framing-20260720",
      "title": "Machine Learning Problem Framing: Overview",
      "publisher": "Google for Developers",
      "sourceType": "first_party_technical_guidance",
      "publishedAt": "2025-08-25",
      "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",
      "sourceType": "first_party_design_guidance",
      "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",
      "sourceType": "first_party_design_guidance",
      "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",
      "sourceType": "government_primary_guidance",
      "publishedAt": "2023-01-26",
      "accessedAt": "2026-07-20",
      "url": "https://airc.nist.gov/airmf-resources/airmf/5-sec-core/"
    },
    {
      "evidenceId": "cmu-creating-using-rubrics-20260720",
      "title": "Creating and Using Rubrics",
      "publisher": "Carnegie Mellon University Eberly Center",
      "sourceType": "university_primary_teaching_guidance",
      "accessedAt": "2026-07-20",
      "url": "https://www.cmu.edu/teaching/assessment/assesslearning/rubrics.html"
    },
    {
      "evidenceId": "uic-rubrics-20260720",
      "title": "Rubrics",
      "publisher": "University of Illinois Chicago Center for the Advancement of Teaching Excellence",
      "sourceType": "university_primary_teaching_guidance",
      "accessedAt": "2026-07-20",
      "url": "https://teaching.uic.edu/cate-teaching-guides/assessment-grading-practices/rubrics/"
    }
  ],
  "title": "AI 产品 PRD 适用字段与验收清单 v1",
  "description": "把 AI 产品 PRD 拆成决策背景、用户任务、行为合同、数据上下文、评测门禁、失败接管、Agent 权限、治理、运行约束和发布运营十个可核验部分。",
  "url": "https://course.dragonai.tech/datasets/ai-product-prd-field-checklist-v1.json",
  "creator": "烛龙智元内容研究组"
}