ocument Type: Framework
Status: Draft Canon Candidate
Authority: HeadOffice
Applies To: Ads Brain, Affiliate Brain, Experimentation Brain
Parent: Ads Brain Creative Signal Interpretation Framework
Last Reviewed: 2026-03-29
Purpose
Defines the behavioural signals that indicate whether an ad, landing page, or transition environment helps the user make a decision.
Ensures Ads Brain evaluates decision support as a conversion condition rather than assuming motivation alone is enough.
Supports structured review of whether a creative or page helps the user choose confidently and continue.
Core Principle
Users often fail to act because they cannot confidently decide.
Decision friction reduces behavioural continuation even when interest exists.
Ads that generate attention but lead into weak decision environments lose force at the point of choice.
Decision Support Signal Categories
Option Clarity
User can understand what the available choice is.
Signals:
• clear offer presentation
• understandable package structure
• visible differences between options
• clear value distinctions
Choice Simplicity
Decision environment feels manageable.
Signals:
• limited primary choices
• low comparison overload
• simplified selection path
• reduced mental effort
Dominant Option Visibility
User can identify a likely best-fit path.
Signals:
• recommended option
• visually prioritised path
• clear “best for most” framing
• visible primary route forward
Trade Off Transparency
User can understand what is gained or lost between choices.
Signals:
• clear benefit differences
• understandable feature variation
• visible cost-benefit relationship
• transparent package movement
Post Click Alignment
The decision environment matches the promise made by the ad.
Signals:
• ad promise continues on page
• no abrupt repositioning
• no mismatch between hook and offer
• no hidden change in value framing
Evaluation Questions
• Does the user understand what they are choosing between?
• Is the number of choices manageable?
• Is there a clearly visible best-fit path?
• Are trade-offs understandable?
• Does the landing experience support the decision started by the ad?
Interfaces
Inputs:
• Ads Brain Creative Angle Matrix
• Ads Brain Offer Creative Fit Engine
• Ads Brain Platform Behavior Model
• landing page review
• bridge page review
Outputs:
• Decision Clarity Rating
• Choice Friction Indicator
• Offer Selection Support Signal
• Ad to Page Decision Continuity Score
Structural Insight
Weak decision support creates:
• hesitation
• delay
• abandonment
• drop-off after click
Strong decision support increases:
• behavioural continuation
• selection confidence
• path clarity
• conversion probability
Drift Triggers
Reject or flag if:
• choice architecture is confusing
• options are excessive without justification
• differences between options are unclear
• the page forces evaluation work onto the user
• ad promise and decision environment do not match