II.
Workflow overview
Reference · liveworkflow:growth-experiment-review
Growth Experiment Review overview
Reviews active and completed growth experiments — evaluating statistical significance of test results, analyzing unexpected side effects on adjacent metrics, deciding ship/iterate/kill for each experiment, validating measurement methodology, and reprioritizing the experiment queue based on learnings. Produces experiment decision log and updated roadmap. Excludes experiment design and implementation.
Attributes
displayName
Growth Experiment Review
workflowKind
governance
triggerType
scheduled
typicalCadence
weekly
complexity
cross-team
description
Reviews active and completed growth experiments — evaluating statistical
significance of test results, analyzing unexpected side effects on
adjacent metrics, deciding ship/iterate/kill for each experiment,
validating measurement methodology, and reprioritizing the experiment
queue based on learnings. Produces experiment decision log and updated
roadmap. Excludes experiment design and implementation.
Outgoing edges
applies_to_domain2
- domain:digital-marketing·DomainDigital Marketing
- domain:business-intelligence·DomainBusiness Intelligence
involves_role3
- role:data-scientist·RoleData Scientist
- role:product-designer·RoleProduct Designer
- role:engineering-manager·RoleEngineering Manager
performed_by_org_unit3
- org-unit:growth-team·OrgUnitGrowth Team
- org-unit:product-team·OrgUnitProduct Team
- org-unit:engineering·OrgUnitEngineering
requires_skill_area2
- skill-area:python-data-pipelines·SkillAreaPython Data Pipelines
- skill-area:eval-driven-development·SkillAreaEval-Driven LLM Development
triggers_responsibility2
- responsibility:data-quality-monitoring·ResponsibilityData quality monitoring
- responsibility:review-architecture-changes·ResponsibilityReview architecture changes
Incoming edges
follows_workflow1
- stack-profile:ab-testing-platform·StackProfileA/B Testing Platform (Python, PostgreSQL, Redis, React, FastAPI, Prometheus)