II.
Workflow overview
Reference · liveworkflow:hypothesis-driven-experiment
Hypothesis-Driven Experiment overview
Structures engineering experiments around explicit hypotheses — defining measurable success criteria, scoping minimum viable experiments, time-boxing implementation, collecting quantitative and qualitative signals, analyzing results against the hypothesis, and producing a go/no-go recommendation for full investment. Excludes full feature implementation.
Attributes
displayName
Hypothesis-Driven Experiment
workflowKind
development
triggerType
on-demand
typicalCadence
per-initiative
complexity
cross-team
description
Structures engineering experiments around explicit hypotheses — defining
measurable success criteria, scoping minimum viable experiments, time-boxing
implementation, collecting quantitative and qualitative signals, analyzing
results against the hypothesis, and producing a go/no-go recommendation
for full investment. Excludes full feature implementation.
Outgoing edges
applies_to_domain2
- domain:software-engineering·DomainSoftware Engineering
- domain:data-science·DomainData Science
involves_role3
- role:tech-lead·RoleTech Lead
- role:data-scientist·RoleData Scientist
- role:engineering-manager·RoleEngineering Manager
performed_by_org_unit2
- org-unit:engineering·OrgUnitEngineering
- org-unit:product-team·OrgUnitProduct Team
requires_skill_area2
- skill-area:eval-driven-development·SkillAreaEval-Driven LLM Development
- skill-area:observability-pipeline·SkillAreaObservability Pipeline
triggers_responsibility2
- responsibility:write-rfc-documents·ResponsibilityWrite RFC / design documents
- responsibility:data-quality-monitoring·ResponsibilityData quality monitoring
Incoming edges
None.