iiRecord
Agentic AI Atlas · Guest Experience Feedback Analysis
workflow:guest-experience-feedback-analysisa5c.ai
II.
Workflow JSON

workflow:guest-experience-feedback-analysis

Structured · live

Guest Experience Feedback Analysis json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · workflows/workflows/workflows-hospitality-realestate.yamlCluster · workflows
Record JSON
{
  "id": "workflow:guest-experience-feedback-analysis",
  "_kind": "Workflow",
  "_file": "workflows/workflows/workflows-hospitality-realestate.yaml",
  "_cluster": "workflows",
  "attributes": {
    "displayName": "Guest Experience Feedback Analysis",
    "workflowKind": "governance",
    "triggerType": "scheduled",
    "typicalCadence": "weekly",
    "complexity": "cross-team",
    "description": "Analyzes guest experience feedback across hospitality properties --\naggregating survey responses, online review sentiment, social-media\nmentions, and in-stay complaint tickets, running NLP-based topic\nextraction to identify recurring pain points, benchmarking Net Promoter\nScores across properties and segments, correlating satisfaction drivers\nwith operational metrics (check-in time, room-readiness rate, F&B\nservice speed), and generating property-level action plans. Produces\nsentiment trend dashboards, competitive benchmarking reports, and\nprioritized service-improvement recommendations. Excludes service\ndelivery changes.\n"
  },
  "outgoingEdges": [
    {
      "from": "workflow:guest-experience-feedback-analysis",
      "to": "role:data-scientist",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:guest-experience-feedback-analysis",
      "to": "role:product-designer",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:guest-experience-feedback-analysis",
      "to": "role:planner",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:guest-experience-feedback-analysis",
      "to": "skill-area:python-data-pipelines",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:guest-experience-feedback-analysis",
      "to": "skill-area:retrieval-augmented-generation",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:guest-experience-feedback-analysis",
      "to": "domain:hospitality",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:guest-experience-feedback-analysis",
      "to": "domain:customer-experience",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:guest-experience-feedback-analysis",
      "to": "responsibility:data-quality-monitoring",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:guest-experience-feedback-analysis",
      "to": "responsibility:slo-definition",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:guest-experience-feedback-analysis",
      "to": "org-unit:analytics-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:guest-experience-feedback-analysis",
      "to": "org-unit:customer-success",
      "kind": "performed_by_org_unit",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}