docs(uiux): UIUX 设计方案大改 + 5 份作业指导书对齐 + 开发任务文档

- UIUX 文档：填充 19 个缺口（多主体画像/健康度/AI+看板/增长域/洞察域/创始人端/OODA/助推/商密）
- UIUX 文档：插入 6 个新章节（十四~十九），旧章节重编号为二十~三十一，更新目录和交叉引用
- 作业指导书 x5：导航改为 6 域分组，新增 Context Bar/工作模式/Insight Rail/决策线程/多工作区等 UI 概念
- 新建 docs/2-task-uiux.md：50 个代码落地开发任务，按 P0-P6 分优先级 + 8 Sprint 规划
- 后端/前端：大量新增模型、路由、组件（来自之前 Phase 开发）

backend/app/models/intervention.py

@@ -0,0 +1,49 @@
+"""干预事件与结果模型。
+
+投后管理 Alpha 归因 — 干预事件 → 指标变化 → 估值影响 → 回报贡献。
+"""
+
+import uuid
+from datetime import datetime, timezone
+
+from sqlalchemy import DateTime, Float, ForeignKey, String, Text
+from sqlalchemy.orm import Mapped, mapped_column
+
+from app.core.database import Base
+from app.core.types import JSONBType
+
+
+class InterventionEvent(Base):
+    """干预事件。"""
+
+    __tablename__ = "intervention_events"
+
+    id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
+    company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
+    intervention_type: Mapped[str] = mapped_column(String(50), nullable=False, comment="recruitment/customer_intro/strategy/governance/crisis/funding")
+    title: Mapped[str] = mapped_column(String(200), nullable=False)
+    description: Mapped[str | None] = mapped_column(Text, nullable=True)
+    executed_by: Mapped[str | None] = mapped_column(String(36), ForeignKey("users.id"), nullable=True)
+    executed_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
+    )
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
+    )
+
+
+class InterventionResult(Base):
+    """干预结果。"""
+
+    __tablename__ = "intervention_results"
+
+    id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
+    intervention_id: Mapped[str] = mapped_column(String(36), ForeignKey("intervention_events.id"), nullable=False, index=True)
+    metric_changes: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="指标变化")
+    valuation_impact: Mapped[float | None] = mapped_column(Float, nullable=True, comment="估值影响")
+    return_contribution: Mapped[float | None] = mapped_column(Float, nullable=True, comment="回报贡献")
+    alpha_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="Alpha 归因评分")
+    evidence: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="证据链")
+    measured_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
+    )