Document Type: Framework
Status: Active
Version: v1.0
Authority: MWMS HeadOffice
Parent: Experimentation Brain Canon
Slug: experimentation-brain-solution-planning-and-prioritization-framework
Purpose
Defines structured process for converting identified problems into testable intervention models.
Supports efficient allocation of experimentation resources.
Scope
Applies to planning stage of experimentation lifecycle.
Includes:
hypothesis structuring
test feasibility evaluation
impact estimation
prioritisation modelling
Core Principle
Experiment prioritisation determines experimentation efficiency.
Higher-quality prioritisation improves learning velocity and resource efficiency.
Planning Components
Hypothesis clarity
expected behavioural change
signal measurability
implementation feasibility
resource cost estimation
Prioritization Factors
expected impact magnitude
confidence level
implementation complexity
signal visibility
learning potential
Inputs
problem statements
research signals
strategic priorities
Outputs
structured test roadmap
hypothesis backlog
prioritised experimentation sequence
Interfaces
Research Brain
Strategy Brain
Lifecycle Brain
Ads Brain
Failure Modes
testing trivial variations
unclear hypothesis definition
poor signal measurability
overly complex test designs
Governance Notes
Prioritisation frameworks must remain consistent across experimentation cycles.
Change Log
v1.0 canonical structure created