iiRecord
Agentic AI Atlas · five-whys-analysis
lib-process:scientific-discovery--five-whys-analysisa5c.ai
II.
LibraryProcess JSON

lib-process:scientific-discovery--five-whys-analysis

Structured · live

five-whys-analysis json

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

File · generated-library/processes.yamlCluster · generated-library
Record JSON
{
  "id": "lib-process:scientific-discovery--five-whys-analysis",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "five-whys-analysis",
    "description": "Apply iterative questioning to drill down to root causes - Guides practitioners through\nthe Five Whys technique to systematically uncover the fundamental cause of a problem by repeatedly\nasking \"why\" until reaching actionable root causes.",
    "libraryPath": "library/specializations/domains/science/scientific-discovery/five-whys-analysis.js",
    "specialization": "scientific-discovery",
    "references": [
      "- Ohno, T. (1988). Toyota Production System\n- Serrat, O. (2017). The Five Whys Technique. Knowledge Solutions\n- Andersen, B. & Fagerhaug, T. (2006). Root Cause Analysis"
    ],
    "example": "const result = await orchestrate('domains/science/scientific-discovery/five-whys-analysis', {\n  problem: 'Customer complaints increased by 40% this quarter',\n  context: { department: 'customer-service', timeline: 'Q3-2024' },\n  evidence: ['Call logs', 'Survey responses', 'Ticket data']\n});",
    "usesAgents": [
      "root-cause-analyst"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:scientific-discovery--five-whys-analysis",
      "to": "skill-area:data-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--five-whys-analysis",
      "to": "skill-area:statistical-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--five-whys-analysis",
      "to": "skill-area:deep-web-research",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:scientific-discovery--five-whys-analysis",
      "to": "domain:scientific-discovery",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--five-whys-analysis",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--five-whys-analysis",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--five-whys-analysis",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--five-whys-analysis",
      "to": "workflow:peer-review-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--five-whys-analysis",
      "to": "specialization:scientific-research-methods",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--five-whys-analysis",
      "to": "specialization:scientific-discovery",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    },
    {
      "from": "lib-process:scientific-discovery--five-whys-analysis",
      "to": "lib-agent:scientific-discovery--root-cause-analyst",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}