II.
LibraryProcess JSON
Structured · livelib-process:product-management--retention-cohort-analysis
product-management/retention-cohort-analysis json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "lib-process:product-management--retention-cohort-analysis",
"_kind": "LibraryProcess",
"_file": "generated-library/processes.yaml",
"_cluster": "generated-library",
"attributes": {
"displayName": "product-management/retention-cohort-analysis",
"description": "Retention Analysis and Cohort Analysis - Comprehensive process for analyzing user retention patterns,\ncohort behavior, churn dynamics, engagement metrics, and activation optimization to improve product stickiness\nand long-term user value through data-driven insights",
"libraryPath": "library/specializations/product-management/retention-cohort-analysis.js",
"specialization": "product-management",
"references": [
"- Cohort Analysis Guide: https://www.amplitude.com/blog/cohort-analysis",
"- Retention Metrics: https://www.lennysnewsletter.com/p/what-is-good-retention",
"- Product Analytics: https://www.reforge.com/blog/retention-engagement-growth-silent-killer",
"- Activation Best Practices: https://www.productled.com/blog/user-activation"
],
"example": "const result = await orchestrate('product-management/retention-cohort-analysis', {\n productName: 'Mobile App',\n analysisTimeframe: 'Last 6 months',\n cohortDefinition: {\n groupBy: 'signup_month',\n segmentBy: ['acquisition_channel', 'user_type']\n },\n retentionMetrics: ['D1', 'D7', 'D30', 'D90'],\n dataSource: {\n platform: 'Analytics DB',\n userTable: 'users',\n eventTable: 'user_events'\n }\n});",
"usesAgents": [
"data-engineer",
"cohort-analyst",
"retention-analyst",
"cohort-insights-analyst",
"churn-analyst",
"engagement-analyst",
"activation-specialist",
"behavioral-scientist",
"lifecycle-analyst",
"feature-analyst",
"benchmark-analyst",
"ml-analyst",
"retention-strategist",
"analytics-engineer",
"quality-auditor"
]
},
"outgoingEdges": [
{
"from": "lib-process:product-management--retention-cohort-analysis",
"to": "skill-area:product-strategy",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:product-management--retention-cohort-analysis",
"to": "skill-area:product-analytics",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:product-management--retention-cohort-analysis",
"to": "domain:software-engineering",
"kind": "lib_applies_to_domain",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:product-management--retention-cohort-analysis",
"to": "role:product-manager",
"kind": "lib_involves_role",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:product-management--retention-cohort-analysis",
"to": "role:product-analyst",
"kind": "lib_involves_role",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:product-management--retention-cohort-analysis",
"to": "workflow:product-discovery",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:product-management--retention-cohort-analysis",
"to": "workflow:competitive-analysis",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:product-management--retention-cohort-analysis",
"to": "specialization:product-management",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:product-management--retention-cohort-analysis",
"to": "lib-agent:data-science-ml--data-engineer",
"kind": "uses_agent",
"attributes": {
"weight": 0.8
}
},
{
"from": "lib-process:product-management--retention-cohort-analysis",
"to": "lib-agent:game-development--analytics-engineer",
"kind": "uses_agent",
"attributes": {
"weight": 0.8
}
},
{
"from": "lib-process:product-management--retention-cohort-analysis",
"to": "lib-agent:shared--quality-auditor",
"kind": "uses_agent",
"attributes": {
"weight": 0.8
}
}
],
"incomingEdges": []
}