Document Type: Framework
Status: Active
Version: v1.0
Authority: Affiliate Brain
Applies To: Opportunity qualification readiness before Experimentation Brain entry
Parent: Affiliate Brain Architecture
Last Reviewed: 2026-04-04
Purpose
This framework defines the minimum structural conditions required for an opportunity to enter Experimentation Brain testing workflows.
Affiliate Brain is responsible for ensuring that opportunities entering Experimentation Brain are sufficiently structured to produce interpretable signals.
Unstructured opportunities create:
signal noise
false negatives
false positives
wasted capital
misleading confidence signals
Testing readiness criteria ensure that experimentation resources are allocated to opportunities capable of producing meaningful learning.
The goal is not certainty of success.
The goal is clarity of test structure.
Scope
This framework governs:
when an opportunity may request experiment allocation
minimum structural clarity required before testing
conditions required for hypothesis formation
qualification signals required before experiment entry
This framework does not govern:
experiment design methodology
statistical validation requirements
sample size determination
confidence scoring thresholds
capital allocation levels
These remain governed by:
Experimentation Brain
Finance Brain
Core Principle
Experimentation Brain tests hypotheses.
Affiliate Brain must ensure hypotheses are structurally testable before submission.
Unclear hypotheses degrade system learning speed.
Structured hypotheses increase learning velocity.
Testing readiness is determined by clarity of testable structure.
Not by perceived quality of the opportunity.
Minimum Structural Requirements
An opportunity must demonstrate the following structural components before testing:
Problem Clarity
The problem must be identifiable.
Signals may include:
clear pain description
recognisable friction
observable behavioural demand
existing solution seeking behaviour
The problem does not need proof of intensity.
It must be definable.
Audience Relevance Definition
The opportunity must identify a plausible audience context.
Signals may include:
identifiable user group
identifiable use scenario
recognisable behavioural context
Audience definition may remain broad.
It must not be undefined.
Offer Mechanism Coherence
The offer must present a coherent mechanism of action.
Mechanism clarity signals include:
what the offer helps achieve
how the offer claims to help achieve it
what behavioural change the offer enables
Mechanism does not require validation.
Mechanism must be interpretable.
Test Variation Potential
The opportunity must allow structured variation.
Examples:
angle variation potential
hook variation potential
framing variation potential
emphasis variation potential
If variation cannot be generated, learning cannot occur.
Variation potential must exist.
Conversion Pathway Plausibility
A plausible path must exist between:
attention
interest
response
Examples:
click pathway
lead pathway
engagement pathway
trial pathway
Conversion pathway does not require optimisation.
Conversion pathway must be structurally possible.
Behavioural Response Observability
Testing requires observable behavioural response.
Signals may include:
click behaviour
engagement behaviour
response behaviour
sign-up behaviour
If behaviour cannot be observed, learning cannot occur.
Behavioural response must be measurable.
Structured Hypothesis Requirement
Each opportunity submitted for testing must support hypothesis construction.
Hypothesis structure:
If angle variation is presented to defined audience context
then measurable behavioural response may occur
The hypothesis does not predict outcome.
The hypothesis defines test structure.
Disqualifying Conditions
An opportunity is not ready for testing if:
problem definition is unclear
audience cannot be described
offer mechanism cannot be interpreted
variation potential is absent
conversion pathway is undefined
behavioural response cannot be measured
Disqualification is not rejection.
Disqualification indicates structural incompleteness.
Opportunity may be refined and resubmitted.
Readiness Confidence Signals
Affiliate Brain may express readiness confidence based on:
clarity of problem definition
clarity of audience context
clarity of offer mechanism
clarity of variation structure
Confidence indicates clarity level.
Confidence does not indicate probability of success.
Confidence does not override Experimentation validation authority.
Relationship to Velocity Decision Engine
Velocity Decision Engine may prioritise opportunities based on readiness clarity.
Higher structural clarity supports faster test allocation.
Low clarity opportunities may:
require further structuring
require Research Brain input
require refinement iteration
Velocity does not override readiness criteria.
Relationship to Experimentation Brain
Affiliate Brain confirms structural readiness.
Experimentation Brain confirms statistical validity.
Experimentation Brain may reject poorly structured inputs.
Experimentation Brain may request structural clarification.
Experimentation Brain defines:
test design requirements
signal interpretation rules
confidence thresholds
System Outcome
Testing readiness criteria ensures:
experiments produce interpretable signals
learning velocity increases
capital waste reduces
decision noise decreases
Structured readiness improves system intelligence accumulation.
Change Log
Version: v1.0
Date: 2026-04-04
Author: MWMS HeadOffice
Change:
Initial creation of Affiliate Testing Readiness Criteria defining minimum structural requirements required before opportunities may enter Experimentation Brain workflows.
Establishes compatibility with Cross-Brain Decision Engine language.
Improves signal clarity and learning efficiency.
Change Impact Declaration
Pages Created:
Affiliate Testing Readiness Criteria
Pages Updated:
None
Pages Deprecated:
None
Registries Requiring Update:
MWMS Architecture Registry
Affiliate Brain Architecture index
Canon Version Update Required:
No
Change Log Entry Required:
Yes