II.
Workflow JSON
Structured · liveworkflow:dashboard-development-cycle
Dashboard Development Cycle json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "workflow:dashboard-development-cycle",
"_kind": "Workflow",
"_file": "workflows/workflows/workflows-data-analyst.yaml",
"_cluster": "workflows",
"attributes": {
"displayName": "Dashboard Development Cycle",
"workflowKind": "data",
"triggerType": "on-demand",
"typicalCadence": "per-project",
"complexity": "cross-team",
"description": "Develops data dashboards from requirements through stakeholder\nacceptance -- gathering dashboard requirements including target\naudience, key questions, and decision contexts, designing data models\nand semantic layers that support required aggregations and\ndrill-downs, selecting visualization types that effectively\ncommunicate each metric, building interactive dashboard prototypes\nand conducting usability reviews with stakeholders, implementing data\nrefresh pipelines and access controls, validating metric accuracy\nagainst source-of-truth systems, and documenting dashboard usage\nguidance and metric definitions. Produces dashboard, data model\ndocumentation, and metric glossary. Excludes data infrastructure\nprovisioning and ETL pipeline development.\n"
},
"outgoingEdges": [
{
"from": "workflow:dashboard-development-cycle",
"to": "role:data-analyst",
"kind": "involves_role",
"attributes": {}
},
{
"from": "workflow:dashboard-development-cycle",
"to": "role:data-scientist",
"kind": "involves_role",
"attributes": {}
},
{
"from": "workflow:dashboard-development-cycle",
"to": "role:product-designer",
"kind": "involves_role",
"attributes": {}
},
{
"from": "workflow:dashboard-development-cycle",
"to": "skill-area:python-data-pipelines",
"kind": "requires_skill_area",
"attributes": {}
},
{
"from": "workflow:dashboard-development-cycle",
"to": "skill-area:data-quality",
"kind": "requires_skill_area",
"attributes": {}
},
{
"from": "workflow:dashboard-development-cycle",
"to": "domain:business-intelligence",
"kind": "applies_to_domain",
"attributes": {}
},
{
"from": "workflow:dashboard-development-cycle",
"to": "domain:data-engineering",
"kind": "applies_to_domain",
"attributes": {}
},
{
"from": "workflow:dashboard-development-cycle",
"to": "responsibility:data-quality-monitoring",
"kind": "triggers_responsibility",
"attributes": {}
},
{
"from": "workflow:dashboard-development-cycle",
"to": "responsibility:slo-definition",
"kind": "triggers_responsibility",
"attributes": {}
},
{
"from": "workflow:dashboard-development-cycle",
"to": "org-unit:business-intelligence-team",
"kind": "performed_by_org_unit",
"attributes": {}
},
{
"from": "workflow:dashboard-development-cycle",
"to": "org-unit:analytics-team",
"kind": "performed_by_org_unit",
"attributes": {}
}
],
"incomingEdges": [
{
"from": "stack-profile:geospatial-analytics",
"to": "workflow:dashboard-development-cycle",
"kind": "follows_workflow"
},
{
"from": "stack-profile:internal-dashboard",
"to": "workflow:dashboard-development-cycle",
"kind": "follows_workflow"
},
{
"from": "stack-profile:analytics-dashboard",
"to": "workflow:dashboard-development-cycle",
"kind": "follows_workflow"
},
{
"from": "stack-profile:hr-people-analytics",
"to": "workflow:dashboard-development-cycle",
"kind": "follows_workflow"
},
{
"from": "stack-profile:time-series-analytics",
"to": "workflow:dashboard-development-cycle",
"kind": "follows_workflow"
}
]
}