II.
Workflow JSON
Structured · liveworkflow:athlete-performance-analytics-review
Athlete Performance Analytics Review json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "workflow:athlete-performance-analytics-review",
"_kind": "Workflow",
"_file": "workflows/workflows/workflows-sports.yaml",
"_cluster": "workflows",
"attributes": {
"displayName": "Athlete Performance Analytics Review",
"workflowKind": "governance",
"triggerType": "scheduled",
"typicalCadence": "weekly",
"complexity": "cross-team",
"description": "Reviews athlete performance data and training load metrics --\naggregating GPS tracking, heart rate variability, and biomechanical\nsensor data from training sessions and competitions, computing\nacute-to-chronic workload ratios to assess injury risk, analyzing game\nfilm with computer vision for tactical pattern recognition, benchmarking\nindividual metrics against positional norms, and correlating recovery\nprotocol adherence with performance outcomes. Produces athlete readiness\ndashboards, injury risk flags, and periodization adjustment\nrecommendations. Excludes medical diagnosis and treatment.\n"
},
"outgoingEdges": [
{
"from": "workflow:athlete-performance-analytics-review",
"to": "role:data-scientist",
"kind": "involves_role",
"attributes": {}
},
{
"from": "workflow:athlete-performance-analytics-review",
"to": "role:ml-engineer",
"kind": "involves_role",
"attributes": {}
},
{
"from": "workflow:athlete-performance-analytics-review",
"to": "role:planner",
"kind": "involves_role",
"attributes": {}
},
{
"from": "workflow:athlete-performance-analytics-review",
"to": "skill-area:python-data-pipelines",
"kind": "requires_skill_area",
"attributes": {}
},
{
"from": "workflow:athlete-performance-analytics-review",
"to": "skill-area:ml-fine-tuning",
"kind": "requires_skill_area",
"attributes": {}
},
{
"from": "workflow:athlete-performance-analytics-review",
"to": "domain:sports-fitness",
"kind": "applies_to_domain",
"attributes": {}
},
{
"from": "workflow:athlete-performance-analytics-review",
"to": "domain:data-engineering",
"kind": "applies_to_domain",
"attributes": {}
},
{
"from": "workflow:athlete-performance-analytics-review",
"to": "responsibility:data-quality-monitoring",
"kind": "triggers_responsibility",
"attributes": {}
},
{
"from": "workflow:athlete-performance-analytics-review",
"to": "responsibility:slo-definition",
"kind": "triggers_responsibility",
"attributes": {}
},
{
"from": "workflow:athlete-performance-analytics-review",
"to": "org-unit:analytics-team",
"kind": "performed_by_org_unit",
"attributes": {}
},
{
"from": "workflow:athlete-performance-analytics-review",
"to": "org-unit:data-team",
"kind": "performed_by_org_unit",
"attributes": {}
}
],
"incomingEdges": []
}