Bienvenue sur FlowZap, l'application pour créer des diagrammes avec Rapidité, Clarté et Contrôle.

Workflow d’analyse de cohortes

Workflow d’analyse de cohortes avec segmentation des utilisateurs par date d’inscription, calcul de courbes de rétention, projection de LTV et identification de motifs comportementaux.

Code FlowZap complet

Analyst { # Analyst
n1: circle label:"Start"
n2: rectangle label:"Define cohort criteria"
n3: rectangle label:"Set analysis time window"
n4: rectangle label:"Review analysis results"
n5: diamond label:"Insights actionable?"
n6: rectangle label:"Create recommendations report"
n7: circle label:"End"
n1.handle(right) -> n2.handle(left)
n2.handle(right) -> n3.handle(left)
n3.handle(bottom) -> DataPipeline.n8.handle(top) [label="Extract data"]
n4.handle(right) -> n5.handle(left)
n5.handle(right) -> n6.handle(left) [label="Yes"]
n5.handle(bottom) -> n2.handle(bottom) [label="No - Refine criteria"]
n6.handle(right) -> n7.handle(left)
}
DataPipeline { # Data Pipeline
n8: rectangle label:"Query user events database"
n9: rectangle label:"Group users by signup date"
n10: rectangle label:"Calculate retention metrics"
n11: diamond label:"Data quality check?"
n12: rectangle label:"Flag data anomalies"
n8.handle(right) -> n9.handle(left)
n9.handle(right) -> n10.handle(left)
n10.handle(right) -> n11.handle(left)
n11.handle(right) -> Analytics.n13.handle(left) [label="Pass"]
n11.handle(bottom) -> n12.handle(top) [label="Fail"]
n12.handle(left) -> n8.handle(bottom) [label="Reprocess"]
}
Analytics { # Analytics Engine
n13: rectangle label:"Compute cohort curves"
n14: rectangle label:"Calculate churn rates"
n15: rectangle label:"Identify behavior patterns"
n16: rectangle label:"Generate visualizations"
n13.handle(right) -> n14.handle(left)
n14.handle(right) -> n15.handle(left)
n15.handle(right) -> n16.handle(left)
n16.handle(top) -> Analyst.n4.handle(bottom) [label="Results ready"]
}

Modèles associés

Retour à tous les modèles