Document Type: Framework
Status: Structural
Authority: Research Brain
Applies To: Research Brain, Conversion Brain, Ads Brain, Offer Brain, Experimentation Brain
Parent: Research Brain
Version: v1.0
Last Reviewed: 2026-04-19
Purpose
The Research Brain Behavioral Barrier Signal Framework defines how behavioural signals are captured, interpreted, and classified into structured insight categories that support optimisation decisions.
The framework ensures behavioural data collected across MWMS is interpreted consistently.
The framework improves:
signal interpretation clarity
insight classification consistency
hypothesis generation speed
behavioural pattern detection
cross-experiment learning
The framework connects behavioural evidence to optimisation decisions.
Scope
This framework applies to behavioural signals collected from:
analytics data
heatmaps
session recordings
VOC research
surveys
competitor research
funnel analysis
ad engagement data
click behaviour
scroll behaviour
form behaviour
purchase behaviour
The framework governs interpretation of behavioural signals.
It does not govern:
test design structure
statistical validation logic
experiment prioritisation logic
creative execution decisions
Those remain governed by Experimentation Brain and Ads Brain.
Core Principle
Behavioural signals indicate underlying decision friction.
Signals must be interpreted using behavioural classification logic.
Raw data alone does not explain behaviour.
Interpretation converts data into insight.
Insight enables hypothesis creation.
Behavioral Signal Categories
Signals must be classified according to behavioural barrier type.
Each signal may map to multiple behavioural layers.
Primary classification must be identified.
Signal Classification Structure
Relevance Signals
Indicators:
high bounce rate
low engagement duration
low scroll depth
low CTR from ads
weak headline engagement
Possible interpretation:
weak intent match
weak targeting alignment
weak problem clarity
weak message specificity
Trust Signals
Indicators:
high exit after initial interaction
low form start rate
low product interaction
weak brand engagement
low testimonial interaction
Possible interpretation:
credibility concerns
low perceived legitimacy
insufficient authority signals
low social proof exposure
Orientation Signals
Indicators:
high page engagement but low CTA interaction
repeated page revisits
high navigation complexity behaviour
high comparison behaviour
interaction loops
Possible interpretation:
decision complexity
unclear next step
poor hierarchy structure
choice overload
Motivation Signals
Indicators:
high product interest but low purchase rate
high add to cart abandonment
high comparison behaviour
high competitor switching signals
Possible interpretation:
weak differentiation
weak perceived value
low urgency perception
weak emotional drivers
Security Signals
Indicators:
checkout abandonment
hesitation behaviour near transaction step
support page visits before purchase
FAQ interaction before purchase
repeated form edits
Possible interpretation:
risk perception concerns
payment confidence concerns
unclear guarantee clarity
uncertainty about outcome
Convenience Signals
Indicators:
form drop-off
step abandonment
repeated input errors
slow progression through funnel
device-specific drop-off
Possible interpretation:
effort perception too high
usability friction
excessive cognitive load
poor process flow design
Confirmation Signals
Indicators:
refund requests
repeat comparison behaviour after purchase
customer support contact shortly after conversion
low repeat purchase behaviour
low engagement after purchase
Possible interpretation:
post purchase doubt
expectation mismatch
weak reassurance messaging
insufficient onboarding clarity
Signal Mapping Protocol
Each signal captured by Research Brain must include:
Signal Source
Behavioural Layer Classification
Confidence Level
Related Hypothesis Area
Recommended Brain Destination
Example Signal Record
Signal:
high CTR low CVR
Classification:
Primary Layer:
Motivation
Secondary Layer:
Trust
Interpretation:
interest present
value not compelling enough
differentiation unclear
Destination:
Offer Brain
Conversion Brain
Ads Brain
Relationship to Other MWMS Documents
Connects to:
Conversion Brain Behavioral Friction Diagnostic Framework
MWMS Standard Conversion Signal Ladder
Research Brain Customer Journey Signal Map
Research Brain Friction Signal Framework
Offer Brain Value Proposition Framework
Experimentation Brain Hypothesis Structure
This framework standardises signal interpretation language.
Drift Protection
The system must prevent:
raw data interpreted without behavioural classification
duplicate behavioural interpretations across teams
conflicting behavioural diagnosis language
unstructured insight storage
hypothesis creation without behavioural grounding
Behavioural signals must remain interpretable across MWMS.
Architectural Intent
Research Brain Behavioral Barrier Signal Framework allows behavioural insight to accumulate across experiments and campaigns.
The framework enables MWMS to:
learn faster
detect patterns earlier
avoid repeated mistakes
increase hypothesis accuracy
improve signal reuse
Behavioural learning compounds system intelligence.
Change Log
Version: v1.0
Date: 2026-04-19
Author: HeadOffice
Change:
Initial creation of behavioural signal classification structure aligned with Conversion Brain diagnostic architecture and MWMS behavioural hypothesis framework.
END Research Brain Behavioral Barrier Signal Framework v1.0