MWMS Avatar Hypothesis And Market Definition Framework

System: MWMS
Document Type: Framework
Authority Level: MCR Source Of Truth
Status: Draft For MCR
Version: v1.1
Primary Location: MCR
Future Operational Destination: Research Brain, Experimentation Brain, Affiliate Brain, PPL Brain, AIBS Brain, Content Brain, Ads Brain, Sales Brain, Finance Brain, Compliance Brain, Risk Brain, HeadOffice Brain
Parent Page: Research Brain
Owner: Martyn
Developer Boundary: Do Not Touch M’s Active Build Areas Unless Specifically Assigned
Source Of Truth: MCR
Last Reviewed: 2026-06-02
Source / Origin: MWMS Avatar Hypothesis And Market Definition Framework v1.0 + AI Automations by Jack — Client Resonance / Content Engine / Leads / Follow-up / Content Hacks / Data / Commercial Constraint Block
MWMS Classification: Research Brain Framework / Avatar Definition Standard / Market Hypothesis Framework / Client Resonance Intelligence Standard / Cross-Brain Commercial Intelligence Input Standard
Primary Brain: Research Brain
Supporting Brains: Experimentation Brain, Affiliate Brain, PPL Brain, AIBS Brain, Content Brain, Ads Brain, Sales Brain, Finance Brain, Compliance Brain, Risk Brain, HeadOffice Brain, Data Brain, Customer Brain
Related Pages: MWMS Commercial Constraint And Client Acquisition Operating Framework, MWMS Offer And Niche Selection Framework, MWMS Plus Drift Control And Human Challenge Protocol, Experimentation Brain Canon, Research Brain Canon, AIBS Brain Canon, Affiliate Brain Canon, PPL Brain Canon, MWMS Market Driven Social Content Production Framework, MWMS Client Intelligence Report Automation Framework, MWMS Lead Intake Qualification And Follow-Up Automation Framework, MWMS Outbound Lead Enrichment And Cold Outreach Governance Framework, MWMS AI Agent Operations Core, MWMS AI Agent Memory And Context Framework, MWMS Source Visibility And Evidence Display Standard, MWMS Missing Context And Evidence Gap Handling Rule, MWMS Brain Routing Rule, MWMS Brain To Brain Request Protocol, HeadOffice Kaizen Continuous Improvement Loop

Purpose

The purpose of the MWMS Avatar Hypothesis And Market Definition Framework is to define how MWMS researches, structures, tests, and validates the target avatar before building offers, funnels, campaigns, client packages, PPL verticals, affiliate angles, content strategies, or AI business systems.

This framework exists because MWMS must not build commercial systems around guessed avatars.

A wrong avatar can cause the entire downstream system to drift.

If the avatar is wrong:

the offer may be wrong
the hook may be wrong
the channel may be wrong
the geography may be wrong
the pain point may be wrong
the pricing may be wrong
the funnel may be wrong
the content may be wrong
the ad targeting may be wrong
the lead form may be wrong
the PPL vertical may be weak
the affiliate campaign may miss the buyer
the AIBS client package may solve the wrong problem
the sales conversation may fail
the economics may be misread
M may build systems around a bad assumption

This framework places Research Brain upstream of offer construction and execution.

The v1.1 update adds a missing commercial intelligence layer:

Research Brain must not only define avatars from desk research.
Research Brain must also capture client resonance signals from the market.

Resonance signals are the market talking back.

They include:

comments
replies
DMs
objections
lead magnet requests
content outliers
pricing resistance
repeated questions
repeated pains
repeated desires
booked calls
referrals
proof signals
follow-up responses
content engagement patterns
offer response patterns

The core principle is:

Research Brain defines the avatar hypothesis before Affiliate Brain, PPL Brain, AIBS Brain, Content Brain, Ads Brain, or Sales Brain begins serious execution.

The avatar is not truth at the research stage.

It is a structured hypothesis.

Experimentation Brain must then test it.

Research Brain must then keep refining it from real resonance data.

Core Doctrine

The MWMS doctrine is:

Do not build around an assumed avatar.
Research the market.
Define the avatar hypothesis.
Listen for resonance.
Test the avatar hypothesis.
Refine from real data.
Then build the offer, funnel, content, ad, lead system, or client package.

Research Brain is responsible for creating the best possible avatar hypothesis.

Experimentation Brain is responsible for proving or disproving it.

Execution Brains act only after the avatar has enough evidence to justify action.

The v1.1 correction adds:

Avatar research is not finished when the first profile is written.
It is improved continuously through resonance, market response, content data, outreach response, objection patterns, and test results.

Strategic Importance

This framework is strategically important because MWMS operates multiple commercial engines.

These include:

Affiliate Brain
PPL Brain
AIBS Brain
Content Brain
Ads Brain
Sales Brain

All of those Brains depend on avatar clarity.

Affiliate Brain needs to know who the buyer is before building hooks, landing pages, and traffic tests.

PPL Brain needs to know who the lead is, where they are, what intent they have, and what a buyer will pay for.

AIBS Brain needs to know the client avatar, business pain, willingness to pay, and recurring value need.

Content Brain needs to know audience language, platform behaviour, and content expectations.

Ads Brain needs to know targeting, creative angle, compliance sensitivity, and conversion path.

Sales Brain needs to know the buyer’s pain, objections, proof needs, and value perception.

Finance Brain needs to know whether the avatar can support the economics.

Compliance and Risk Brain need to know whether the avatar, claim, location, or data category creates exposure.

Without avatar clarity, every Brain downstream can waste effort.

Without resonance tracking, Research Brain can become theoretical.

The v1.1 update strengthens Research Brain by making it responsible for both:

Avatar hypothesis creation
Avatar resonance refinement

This means Research Brain must not only ask:

Who do we think the avatar is?

It must also ask:

How is the market responding, and what does that response teach us?

Definition

An avatar is the specific person, buyer, lead, business owner, audience segment, or market participant MWMS is trying to influence, help, acquire, convert, sell to, generate as a lead, or serve.

An avatar hypothesis is the researched but not-yet-proven profile of that person or business.

A market definition is the broader category, sub-market, niche, geography, and demand context in which that avatar exists.

A client resonance signal is any market response that shows whether the avatar, pain, message, content, lead magnet, offer, channel, or positioning is connecting with the right people.

MWMS Definition

An MWMS Avatar Hypothesis is:

A structured Research Brain output that defines who the target avatar appears to be, what problem they appear to have, what they appear to want, how they speak, where they spend attention, what they are likely to buy or respond to, what resonance signals confirm or challenge the hypothesis, and what must be tested before execution.

Scope

This framework applies before MWMS creates or executes:

affiliate campaigns
ClickBank offer tests
CPA offer tests
PPL vertical tests
lead generation funnels
AIBS client packages
AIOS packages
content strategies
social content systems
paid ad campaigns
YouTube ad campaigns
VEO3 pre-video campaigns
landing pages
lead magnets
email/outreach sequences
DTC AI products
client intelligence reports
proposal systems
outbound prospecting campaigns
market-driven content engines
sales scripts
funnel tests
productized services
commercial constraint tests
client acquisition campaigns
free-to-paid pilots
webinar funnels
direct outreach systems

This framework applies whenever the target buyer, lead, client, or audience is not already validated.

This framework also applies when new market response appears and Research Brain must update the avatar hypothesis.

Core Principle

The core principle is:

Avatar certainty must be earned, not assumed.

Research Brain creates the avatar hypothesis.

Experimentation Brain validates the avatar hypothesis.

Execution Brains use validated avatar intelligence.

Research Brain then updates the avatar from resonance signals.

The v1.1 operating principle is:

The market must be allowed to correct the avatar.

The MWMS Avatar Hypothesis Flow

The standard MWMS flow is:

Market Category Selected
Sub-Market Defined
Use Case / Problem Area Identified
Avatar Hypothesis Created
Avatar Language Collected
Pain / Desire Mapped
Demographic And Geographic Profile Drafted
Psychographic Profile Drafted
Current Alternatives Identified
Buying Triggers And Objections Mapped
Channel Location Mapped
Offer Fit Estimated
Economics Estimated
Compliance And Risk Screened
Resonance Signal Collection Plan Created
Avatar Hypothesis Pack Produced
Experimentation Brain Test Handoff Created
Resonance Signals Captured
Validated Learning Returned To Research Brain
Avatar Hypothesis Refined
Execution Brain Receives Avatar Intelligence

Stage 1: Market Category Selected

Research Brain first defines the broad market category.

Examples:

health
fitness
finance
debt
insurance
solar
home services
AI automation
business consulting
YouTube creators
local service businesses
menopause support
survival/preparedness
brain performance
content marketing
lead generation
B2B software
education and coaching

Market Category Questions

Ask:

What market are we entering?
Is the market growing?
Is there spending in the market?
Is there enough audience size?
Is the market too broad?
Is the market too regulated?
Is the market compatible with MWMS capabilities?
Does this market support Affiliate, PPL, AIBS, Content, or Ads?

Rule

Do not define the avatar until the market category is clear.

Stage 2: Sub-Market Defined

A broad market is usually too vague.

Research Brain must narrow the market.

Examples:

Broad market:

AI automation.

Sub-market:

AI lead intake systems for small service businesses.

Broad market:

YouTube creators.

Sub-market:

educational YouTube creators selling courses or communities.

Broad market:

health.

Sub-market:

men and women 45+ seeking natural energy and cognitive support.

Broad market:

home services.

Sub-market:

homeowners seeking solar or battery quotes in a specific region.

Sub-Market Questions

Ask:

What specific slice of the market is this?
Who is excluded?
Is the sub-market specific enough?
Is it large enough to matter?
Does the sub-market have clear problems?
Does it have reachable attention channels?
Does the sub-market have spending ability?
Does MWMS understand this sub-market?

Rule

Narrow enough to be useful. Broad enough to be commercially viable.

Stage 3: Use Case / Problem Area Identified

Research Brain must define the specific use case or problem area before describing the avatar.

Examples:

Affiliate:

lack of energy
pain relief
water security
brain performance
weight management
sleep improvement

PPL:

homeowner needs quote
driver needs insurance
person needs debt help
person needs legal consultation
business needs software demo
homeowner needs emergency service

AIBS:

missed leads
slow follow-up
poor client reporting
too much admin
weak proposal process
poor customer communication
inconsistent content
no competitor intelligence
business owner wants AI but lacks clarity

Content:

audience needs education
niche has repeated questions
market has common objections
buyers misunderstand the mechanism
competitors are creating weak content

Rule

A market without a specific problem area is too vague for avatar work.

Stage 4: Avatar Hypothesis Created

Research Brain creates the first avatar hypothesis.

This is not final truth.

It is the best current profile based on available evidence.

Avatar Hypothesis Fields

Avatar Name:
Market Category:
Sub-Market:
Commercial Engine: Affiliate / PPL / AIBS / Content / Ads / Other
Avatar Type: Consumer / Lead / Client / Business Owner / Creator / Buyer / Decision-Maker
Core Problem:
Desired Result:
Current Alternative:
Primary Pain:
Primary Desire:
Likely Channel:
Likely Geography:
Spending Ability:
Urgency Level:
Evidence Quality: Low / Medium / High
Resonance Evidence: None / Early / Moderate / Strong
Validation Required: Yes / No

Rule

Every avatar begins as a hypothesis until validated.

Stage 5: Avatar Language Collected

Research Brain must collect the language the avatar uses.

This is critical.

The avatar’s language affects:

ad copy
content hooks
landing page copy
offer wording
lead magnet title
VSL angle
sales script
outreach message
report framing
proposal language
form questions
qualification logic

Language Sources

Use:

reviews
comments
forums
Reddit
YouTube comments
Facebook groups
LinkedIn posts
sales calls
support tickets
lead forms
competitor reviews
customer interviews
search queries
testimonials
newsletter replies
community posts
Amazon/product reviews where relevant
G2/Capterra/software reviews where relevant
App Store/Google Play reviews where relevant
DMs
outreach replies
objection logs
webinar chat
discovery call transcripts
content comments
lead magnet requests

Language Questions

Ask:

What words does the avatar use?
What phrases repeat?
What do they complain about?
What do they wish existed?
What do they fear?
What do they misunderstand?
What do they ask before buying?
What exact language signals urgency?
What words should MWMS avoid?
What language sounds natural to the avatar?
What words appear in replies, objections, and DMs?
What language appears after real content or outreach?

Rule

Use avatar language before using marketer language.

Stage 6: Pain / Desire Mapped

Research Brain maps the avatar’s pain and desire.

Pain Types

Pain may be:

financial
emotional
physical
operational
social
reputational
time-related
compliance-related
performance-related
convenience-related
fear-based
frustration-based

Desire Types

Desire may include:

more income
less pain
more time
more leads
better health
better confidence
better status
faster results
safer future
less admin
better visibility
higher conversion
more control
easier decision-making
reduced risk

Pain / Desire Questions

Ask:

What is the strongest pain?
What is the strongest desire?
Is the pain urgent?
Is the desire active?
Is the avatar already spending to solve it?
Is the problem visible or hidden?
Does the avatar know they have the problem?
Does the avatar blame the right cause?
What happens if they do nothing?
Can MWMS ethically and realistically speak to this pain?
Which pain gets the strongest response?
Which desire gets the strongest response?
Which pain/desire appears repeatedly in content comments, calls, and outreach replies?

Rule

Weak pain creates weak conversion.

Strong pain must still be handled ethically and compliantly.

Stage 7: Demographic And Geographic Profile Drafted

Research Brain drafts the likely demographic and geographic profile.

Demographic Fields

Possible fields:

age
gender
income level
job role
business type
company size
industry
life stage
household status
education level
technical skill level
buying authority
decision-making role
health/lifestyle context where relevant
creator/business maturity where relevant

Geographic Fields

Possible fields:

country
state/region
city/suburb
rural/urban
climate relevance
regulatory jurisdiction
advertising geography
service area
local market factors
language/culture
currency
platform availability

Rule

Geography matters when offer relevance, compliance, traffic cost, buyer behaviour, climate, law, or service availability changes by location.

Stage 8: Psychographic Profile Drafted

Psychographics explain how the avatar thinks.

Research Brain should identify:

beliefs
fears
aspirations
identity
motivations
frustrations
worldview
scepticism level
sophistication level
risk tolerance
trust triggers
authority preferences
status needs
self-image
buying psychology
decision style
preferred proof type
willingness to try new technology

Psychographic Questions

Ask:

What does this avatar believe?
What are they sceptical about?
What do they want to avoid?
What do they want to become?
What proof do they trust?
What makes them feel understood?
What makes them feel insulted?
Are they beginners, intermediate, or advanced?
Are they urgent buyers or slow researchers?
Are they emotional buyers or analytical buyers?
What does resonance show about how they actually think?

Rule

Demographics tell MWMS who they are.
Psychographics tell MWMS why they act.

Stage 9: Current Alternatives Identified

Research Brain identifies what the avatar currently uses or considers.

Alternatives may include:

competitor products
DIY solutions
agencies
consultants
software tools
free content
doing nothing
manual processes
spreadsheets
employees
generic AI tools
YouTube videos
communities
local providers
quote comparison sites
previous failed solutions
outdated methods

Alternative Questions

Ask:

What do they use now?
What have they tried before?
What do they dislike about current solutions?
What do they believe is missing?
Why have they not solved it already?
What would need to be better?
What switching cost exists?
What creates inertia?
What competitor claims already exist?
What alternative do they mention in calls, comments, or objections?

Rule

A new offer must beat the avatar’s current alternative, not an imaginary blank slate.

Stage 10: Buying Triggers And Objections Mapped

Research Brain maps what makes the avatar act and what stops them.

Buying Triggers

Possible triggers:

urgent pain
deadline
event
seasonal change
business growth
failed previous attempt
new regulation
competitor pressure
financial pressure
customer complaint
health scare
family pressure
performance drop
new opportunity
social proof
direct recommendation
strong content insight
visible audit/proof

Objections

Possible objections:

too expensive
not sure it works
too complicated
not for me
no time
no budget
tried before
sceptical of AI
sceptical of vendor
compliance concern
privacy concern
unclear result
no proof
fear of being locked in
fear of effort required
refund/rejection concern
low trust

Objection Sources

Objections may come from:

sales calls
emails
DMs
comments
no-replies
failed conversions
payment resistance
pricing discussions
refund reasons
lead rejection reasons
PPL buyer feedback
affiliate campaign performance
webinar chat
discovery calls

Rule

Offers are stronger when buying triggers and objections are known before construction.

Objections are avatar intelligence, not just sales problems.

Stage 11: Channel Location Mapped

Research Brain identifies where the avatar already spends attention.

Channels may include:

YouTube
Google Search
TikTok
Facebook
Instagram
LinkedIn
Reddit
forums
newsletters
podcasts
Skool communities
professional groups
industry events
local search
comparison sites
vendor marketplaces
app stores
email inbox
WhatsApp groups
direct mail
referral networks

Channel Questions

Ask:

Where does this avatar already look for solutions?
Where do they learn?
Where do they complain?
Where do they ask questions?
Where do they buy?
Where do they compare options?
Where can MWMS reach them ethically?
Which channel best matches the avatar’s decision process?
Is the channel organic, paid, outbound, or referral?
Is the channel compliant for the offer?
Which channel produces actual resonance?
Which channel produces leads, not just attention?

Rule

Do not choose a channel because MWMS likes it.
Choose the channel because the avatar already uses it and response evidence supports it.

Stage 12: Offer Fit Estimated

Research Brain does not finalise the offer, but it estimates offer fit.

Offer fit asks:

What result does the avatar appear to want?
What offer type might fit?
What promise would be attractive?
What mechanism might be believable?
What price/payout might be viable?
What risk reversal might matter?
What proof would be needed?
What bonus or added value might reduce resistance?
What time delay is acceptable?
What effort level is acceptable?
What offer framing receives resonance?

Offer Fit By Brain

Affiliate Brain

Research Brain should estimate:

likely buyer desire
best hook type
mechanism fit
compliance sensitivity
landing page angle
VSL curiosity level
demographic fit
traffic platform fit
content resonance signals
ad/pre-sell resonance signals

PPL Brain

Research Brain should estimate:

lead intent level
form friction tolerance
urgency
qualification fields
buyer value
geography
trust requirements
speed-to-lead importance
lead rejection signals
buyer feedback signals

AIBS Brain

Research Brain should estimate:

client problem
willingness to pay
monthly recurring value
visible value proof
report/dashboard need
pilot angle
audit offer
service package fit
objection patterns
diagnostic/lead magnet response

Content Brain

Research Brain should estimate:

content topics
platform fit
educational gaps
objection-handling content
language patterns
visual hooks
lead magnet opportunities
content outlier patterns
comment/DM resonance

Rule

Research Brain estimates offer fit.
Sales/Offer/Affiliate/PPL/AIBS Brains construct the final offer after validation.

Stage 13: Economics Estimated

Research Brain creates an early economics estimate before Finance Brain performs deeper modelling.

Economics Fields

Possible fields:

expected payout
expected commission
expected setup fee
expected monthly fee
expected LTV
likely CAC
traffic cost risk
tool cost
support cost
lead value
rejection/refund/churn risk
market spending level
pricing tolerance
potential margin
volume potential
scale potential
payment resistance
willingness-to-pay signals
pricing objection patterns

Rule

If the avatar cannot afford the offer or the lead has low buyer value, the opportunity is weak.

Stage 14: Compliance And Risk Screened

Research Brain performs an early compliance/risk screen and routes to Compliance or Risk Brain if needed.

Risk Areas

Check for:

health claims
income claims
financial claims
legal claims
medical issues
personal data
sensitive data
cold outreach
lead generation compliance
location/jurisdiction risk
platform policy risk
misleading claims
vulnerable audiences
privacy concerns
client data handling
AI communication risk
testimonials/results claims
before/after claims
regulated service categories

Rule

Compliance and risk should be noticed upstream, not after the campaign or package is built.

Stage 15: Resonance Signal Collection Plan Created

Research Brain must define how resonance will be detected.

This is a new v1.1 requirement.

A static avatar hypothesis is not enough.

Research Brain must specify what real-world signals will confirm, weaken, or redirect the avatar hypothesis.

Resonance Signal Types

Resonance may appear through:

comments
DMs
email replies
lead magnet requests
content saves
content shares
booked calls
poll responses
survey answers
positive replies
referrals
testimonials
repeated questions
repeated objections
webinar registrations
webinar chat
content outliers
landing page clicks
VSL click-through
PPL form starts
form completions
quote requests
proposal requests
diagnostic requests
pricing questions
free audit interest
follow-up responses
“how much?” messages
“can you help with this?” messages

Resonance Plan Questions

Ask:

What signal would show the avatar cares?
What signal would show the pain is real?
What signal would show the offer angle is wrong?
What signal would show the channel is wrong?
What signal would show the price is too high or too low?
What signal would show trust is missing?
What signal would show the avatar is different than expected?
What signal would show a stronger sub-market?
What signal would prove this is worth testing harder?
What signal would tell MWMS to stop?

Rule

Every important avatar hypothesis should have a resonance signal plan.

Stage 16: Avatar Hypothesis Pack Produced

Research Brain produces an Avatar Hypothesis Pack.

This becomes the handoff document for Experimentation Brain and downstream execution Brains.

Avatar Hypothesis Pack Template

Avatar Hypothesis Name:
Date:
Owning Brain: Research Brain
Commercial Engine: Affiliate / PPL / AIBS / Content / Ads / Other
Supporting Brains:
Market Category:
Sub-Market:
Avatar Type:
Demographic Profile:
Geographic Profile:
Psychographic Profile:
Core Pain:
Core Desire:
Problem Awareness Level:
Buying Trigger:
Main Objections:
Current Alternatives:
Avatar Language / Repeated Phrases:
Attention Channels:
Likely Channel Fit:
Likely Offer Fit:
Mechanism Fit:
Economics Estimate:
Compliance / Risk Notes:
Resonance Signal Plan:
Known Resonance Signals:
Evidence Sources:
Evidence Quality: Low / Medium / High
Resonance Strength: None / Early / Moderate / Strong
Confidence Level: Low / Medium / High
Assumptions:
Unknowns:
Validation Required:
Recommended Experimentation Tests:
Downstream Brain Handoff:
Decision: Test / Research More / Park / Reject

Rule

The Avatar Hypothesis Pack is the required upstream output before serious execution.

Stage 17: Experimentation Brain Test Handoff Created

Research Brain hands the hypothesis to Experimentation Brain.

Experimentation Brain designs the validation test.

Possible Avatar Validation Tests

10–20 customer conversations
content probe
lead magnet test
landing page test
survey
poll
direct outreach test
audit offer test
waitlist test
webinar registration test
YouTube ad click test
Google Search test
Facebook lead form test
VSL click test
PPL form test
sample client report test
proposal response test
Skool/community post test
email response test
cold outreach reply test
booked call test
small budget paid ad test
DM conversation test
follow-up sequence test
diagnostic offer test
content outlier test

Experimentation Handoff Fields

Hypothesis To Test:
Avatar:
Test Type:
Channel:
Success Metric:
Failure Metric:
Resonance Metric:
Sample Size:
Budget:
Duration:
Stop Condition:
Learning Goal:
Required Output:
Next Decision: Continue / Pivot / Reject / Research More

Rule

Research creates the hypothesis.
Experimentation creates the proof.

Stage 18: Resonance Signals Captured

Research Brain and Experimentation Brain must capture market response.

This includes quantitative and qualitative signals.

Quantitative Signals

Examples:

clicks
replies
booked calls
form starts
form submissions
lead magnet requests
show-up rate
close rate
positive reply rate
comment rate
DM rate
conversion rate
watch time
retention
content saves
content shares
referral count

Qualitative Signals

Examples:

exact words people use
objections
emotional reactions
repeated questions
confusion points
trust concerns
“this is me” responses
scepticism
pricing comments
buying triggers
hidden pain points
unexpected avatar segments
unexpected use cases
proof requests

Rule

Numbers show movement.

Words explain meaning.

MWMS needs both.

Stage 19: Validated Learning Returned To Research Brain

After testing, Experimentation Brain returns results.

Results may include:

avatar confirmed
avatar rejected
avatar needs narrowing
channel wrong
pain wrong
offer wrong
geography wrong
price wrong
lead quality weak
buyer not urgent
objections stronger than expected
content angle works
content angle fails
PPL lead is too expensive
affiliate traffic path weak
AIBS package has interest
client willingness to pay confirmed
resonance stronger in another segment
lead magnet interest confirms pain
follow-up responses reveal timing issue
objections reveal missing proof
pricing resistance reveals weak ROI framing

Rule

Validated learning must update the Avatar Hypothesis Pack.

Do not leave failed avatar assumptions active.

Stage 20: Avatar Hypothesis Refined

Research Brain must update the avatar based on resonance and experiment data.

Possible refinements:

narrow avatar
change geography
change platform
adjust pain priority
adjust desired outcome
update objections
update pricing tolerance
update proof requirements
update channel fit
update offer fit
update content themes
update lead magnet
update compliance/risk notes
update confidence level
update resonance strength

Rule

Avatar intelligence must evolve from evidence.

Stage 21: Execution Brain Receives Avatar Intelligence

Only after avatar hypothesis has enough evidence should execution Brains proceed.

Execution Brain Handoff

Affiliate Brain receives:

buyer avatar
pain/desire
hook language
traffic channel
compliance notes
offer mechanism fit
testing recommendations
resonance signals
objections/proof needs

PPL Brain receives:

lead avatar
intent level
geography
qualification logic
channel
buyer value estimate
form recommendations
lead quality signals
rejection risk signals

AIBS Brain receives:

client avatar
business pain
willingness to pay indicators
AIOS package fit
visible value proof
audit/proposal angle
pilot recommendation
resonance signals
objection patterns

Content Brain receives:

audience language
platform fit
content themes
objections
visual hooks
lead magnet opportunities
content outlier patterns
resonance themes

Ads Brain receives:

targeting hypothesis
creative angle
platform fit
compliance notes
landing page message direction
test hypothesis
resonance metric

Sales Brain receives:

buyer pain
objections
proof needs
discovery questions
value proposition direction
pricing tolerance
decision triggers

Rule

Execution must use avatar intelligence, not generic market guesses.

Avatar Evidence Sources

Research Brain may use:

customer reviews
competitor reviews
YouTube comments
Reddit/forum discussions
Facebook groups
LinkedIn posts
Skool communities
Google search results
keyword research
competitor landing pages
ad libraries
sales pages
product reviews
testimonials
complaints
support tickets
sales call transcripts
lead form responses
surveys
interviews
industry reports
newsletters
public datasets
client data where approved
internal MWMS performance history
previous Experimentation Brain results
outreach replies
content comments
DMs
webinar responses
lead magnet requests
funnel data
LAPS metrics
objection logs
payment conversations
onboarding questions
delivery feedback

Rule

The stronger the evidence source, the stronger the avatar confidence.

Direct market response is stronger than desk research.

Client Resonance Signals

Client resonance signals are market responses that show whether the avatar hypothesis is connecting.

This is the major v1.1 addition.

Resonance signals help Research Brain refine:

avatar
pain
desire
content angle
offer promise
lead magnet
channel
pricing
proof needs
objections
sales language
funnel path

Primary Resonance Signals

Look for:

people replying
people asking for the lead magnet
people booking calls
people saying the content helped
people sharing their problem
people asking how much it costs
people asking if MWMS can help them
people giving detailed objections
people referring others
people consuming multiple pieces of content
people moving from comment to DM
people moving from DM to call
people moving from call to proposal
people moving from proposal to payment

Content Resonance Signals

Content resonance may include:

outlier videos
outlier posts
high comment rate
high save/share rate
repeat questions
audience saying “this is exactly my issue”
content producing DMs
content producing lead magnet requests
content producing calls
content watched by the same avatar repeatedly
content that attracts the wrong avatar

Outreach Resonance Signals

Outreach resonance may include:

positive replies
people correcting the problem statement
people asking for details
people accepting free diagnostic
people agreeing to a call
people saying timing is not right
people naming a different pain
people objecting to price
people asking for proof
people referring someone else

Funnel Resonance Signals

Funnel resonance may include:

landing page click-through
VSL clicks
form starts
form completions
webinar registrations
webinar attendance
email replies
booked calls
payment link clicks
abandoned checkouts
lead rejection reasons
follow-up responses

Sales Resonance Signals

Sales resonance may include:

strong discovery call engagement
prospect gives detailed pain
prospect asks ROI questions
prospect asks next-step questions
prospect repeats offer language
prospect asks about timeline
prospect asks about proof
prospect asks for proposal
prospect asks about payment terms
prospect buys

Rule

Resonance is market evidence.

It must be captured and routed back into Research Brain.

Resonance Strength Levels

Research Brain should classify resonance.

No Resonance

Use when:

no replies
no comments
no clicks
no questions
no lead magnet requests
no calls
no meaningful signal

Action:

Review avatar, channel, message, offer, or sample size.

Early Resonance

Use when:

a few replies appear
some comments appear
some lead magnet requests occur
small interest appears
first call or DM happens

Action:

Continue testing and collect more evidence.

Moderate Resonance

Use when:

repeat signals appear
several people name similar problems
content produces leads
outreach produces conversations
lead magnet gets requests
calls reveal consistent pain
objections repeat

Action:

Move to Experimentation Brain for stronger validation or refine offer.

Strong Resonance

Use when:

avatar repeatedly responds
clear pain/desire repeats
calls book consistently
content/outreach produces qualified leads
people ask to buy
payment or proposal interest appears
proof can be created

Action:

Route to execution Brain with confidence.

Rule

Resonance strength should affect avatar confidence.

Resonance Data Fields

Data Brain should eventually support storing resonance signals.

Suggested fields:

Signal Date:
Signal Source: Content / Outreach / Funnel / Sales / PPL / Affiliate / AIBS / Other
Platform:
Avatar Hypothesis:
Signal Type:
Signal Strength: None / Early / Moderate / Strong
Exact Language:
Pain Mentioned:
Desire Mentioned:
Objection Mentioned:
Buying Trigger:
Channel Signal:
Offer Signal:
Pricing Signal:
Proof Need:
Recommended Update:
Routed To: Research / Experimentation / Content / Sales / Ads / Affiliate / PPL / AIBS
Decision: Continue / Pivot / Reject / Research More

Rule

Resonance should become structured intelligence, not lost in conversation.

Avatar Confidence Levels

Low Confidence

Use when:

evidence is thin
mostly based on assumption
no direct market language
no conversations
no test data
no performance data
no resonance signals

Action:

Research more or run low-cost exploratory test.

Medium Confidence

Use when:

multiple evidence sources exist
some direct avatar language is available
market demand appears real
channel fit appears plausible
early resonance signals exist
no strong test result yet

Action:

Move to Experimentation Brain for validation.

High Confidence

Use when:

Research Brain has strong evidence
Experimentation Brain has test data
avatar language is clear
pain/desire is validated
channel fit is supported
economics look viable
resonance is moderate or strong
downstream Brain can act

Action:

Route to relevant execution Brain.

Rule

Do not treat low-confidence avatars as execution-ready.

Avatar Rejection Rules

Reject or pause an avatar when:

pain is weak
buyer is vague
market is too small
market is too broad
geography is wrong
channel is unreachable
language is unclear
spending ability is weak
compliance risk is too high
buyer intent is low
PPL lead value is poor
affiliate offer fit is weak
AIBS willingness to pay is doubtful
content cannot reach them
paid traffic cost is likely too high
Experimentation Brain disproves the hypothesis
no resonance appears after adequate testing
resonance appears from the wrong avatar
objections reveal poor fit
pricing resistance reveals weak value

Rule

Rejecting a wrong avatar saves money, time, and build effort.

Avatar Pivot Rules

Pivot the avatar when:

core market is good but segment is wrong
pain exists but buyer differs
channel response shows a different audience
content engagement comes from unexpected segment
PPL lead quality differs by geography
affiliate ad response differs by age/gender
AIBS discovery calls reveal a different decision-maker
objections reveal a more specific niche
pricing tolerance differs from assumption
resonance is stronger in a sub-segment
lead magnet requests reveal a different desire
follow-up replies reveal timing mismatch
sales calls reveal the real buyer is different from the user

Rule

A failed avatar test may still reveal the correct avatar.

One Avatar / One Channel / One Offer Relationship

This framework supports the One Avatar / One Channel / One Offer rule.

But MWMS must not choose those blindly.

The correct sequence is:

Research Brain defines one avatar hypothesis.
Research Brain identifies likely one channel.
Research Brain estimates likely one offer fit.
Research Brain defines resonance signals to watch.
Experimentation Brain tests the hypothesis.
Execution Brain focuses on the validated pathway.

Rule

One Avatar / One Channel / One Offer is a focus discipline after research, not a random guess.

Minimal Viable Hypothesis Rule

Before building, MWMS should define a minimal viable hypothesis.

Format

I believe [specific avatar] in [specific market/location/channel] has [specific problem/desire] and will respond to [specific offer/result/mechanism] through [specific channel] because [evidence/resonance].

Examples

Affiliate:

I believe women aged 45–60 in the USA who are interested in menopause strength and energy support will respond to content about maintaining strength, energy, and body confidence because reviews and social discussions show repeated frustration around fatigue and body changes.

PPL:

I believe homeowners in Victoria with rising energy bills will respond to solar/battery quote offers through Google Search and Facebook lead forms because energy cost concern and subsidy awareness create active research behaviour.

AIBS:

I believe small service businesses that miss inbound leads will pay for a Lead Qualification AIOS because slow follow-up directly costs sales and the system can show visible lead reports.

Content:

I believe business owners curious about AI but overwhelmed by tools will respond to educational YouTube/LinkedIn content showing practical AIOS use cases because the market is confused and needs plain-language examples.

Rule

A minimal viable hypothesis must exist before serious execution.

Research Brain Responsibilities

Research Brain owns:

market category research
sub-market definition
avatar hypothesis creation
avatar language collection
pain/desire mapping
demographic/geographic assumptions
psychographic assumptions
competitor/alternative mapping
channel location mapping
offer fit estimation
early economics estimate
early compliance/risk screen
evidence quality rating
resonance signal planning
resonance signal interpretation
hypothesis handoff to Experimentation Brain
updated avatar packs after tests
updated avatar packs after resonance signals

Rule

Research Brain owns avatar hypothesis quality and resonance refinement.

Experimentation Brain Responsibilities

Experimentation Brain owns:

test design
hypothesis testing
success/failure criteria
sample size
budget
test duration
stop conditions
resonance metrics
result interpretation
validated learning
pivot/reject/continue recommendation

Rule

Experimentation Brain owns avatar validation.

HeadOffice Responsibilities

HeadOffice owns:

final routing
preventing execution without avatar clarity
ensuring Research Brain is not bypassed
ensuring Experimentation Brain validates hypotheses
preventing page bloat
protecting Martyn’s vision
balancing Affiliate/PPL/AIBS priorities
deciding whether to continue, park, reject, or scale
ensuring resonance signals are not ignored
ensuring execution Brains do not run ahead of evidence

Rule

HeadOffice ensures avatar intelligence flows to the correct Brain.

Application To Affiliate Brain

Affiliate Brain must not build campaigns around guessed buyers.

Before serious affiliate execution, Affiliate Brain should receive:

avatar hypothesis
buyer language
pain/desire
demographic/geographic profile
channel fit
offer mechanism fit
compliance notes
traffic test recommendation
likely objections
content/hook opportunities
resonance signals
proof/trust needs

Affiliate Avatar Questions

Ask:

Who is buying this offer?
What stage are they in?
What pain/desire is strongest?
What language do they use?
What proof do they need?
What platform can reach them?
What claims are risky?
What angle is believable?
What demographic/geography is likely?
What test proves interest?
Which creative/content signals show resonance?
Which objections show weak offer fit?

Rule

Affiliate Brain should not test broad market guesses when a narrower avatar hypothesis is possible.

Application To PPL Brain

PPL Brain must not select verticals only by payout.

Before serious PPL execution, PPL Brain should receive:

lead avatar
geography
buyer intent
qualification requirements
channel fit
urgency level
lead value estimate
rejection risk
compliance notes
form friction tolerance
validation test
lead resonance signals
buyer feedback signals

PPL Avatar Questions

Ask:

Who is the lead?
What makes them valuable?
What problem triggers the lead?
What geography matters?
What qualification fields matter?
What channel creates intent?
What makes the lead rejectable?
What buyer pays for this lead?
What does the lead expect after submitting?
What compliance rules apply?
Are lead quality signals strong enough?
Are buyer rejection patterns revealing the wrong avatar?

Rule

PPL Brain must validate lead avatar quality before chasing payout.

Application To AIBS Brain

AIBS Brain must not design packages around assumed clients.

Before serious AIBS execution, AIBS Brain should receive:

client avatar
business type
business pain
decision-maker profile
current alternative
willingness to pay indicators
visible value requirement
retention signal
channel/acquisition path
discovery questions
pilot test recommendation
risk/compliance notes
resonance signals
objection patterns
proof requirements
pricing tolerance

AIBS Avatar Questions

Ask:

Who is the client?
What painful business problem do they have?
Who makes the decision?
Who uses the system?
Who feels the pain?
Who approves spending?
What are they doing now?
What would make them pay monthly?
What value must they see?
What report/dashboard proves value?
What pilot can validate willingness to pay?
What objections repeat in calls?
What free diagnostic creates strongest response?
What resonance suggests the client package is worth building?

Rule

AIBS Brain must validate client avatar and recurring value before designing a full AIOS package.

Application To Content Brain

Content Brain must not create content for vague audiences.

Before serious content production, Content Brain should receive:

audience avatar
platform fit
avatar language
pain/desire
objections
topic clusters
content angles
visual hooks
lead magnet opportunities
call-to-action path
risk notes
content outlier patterns
resonance signals
market questions

Content Avatar Questions

Ask:

Who is this content for?
What do they already believe?
What are they trying to learn?
What makes them stop scrolling?
What platform do they use?
What language feels natural?
What topic creates action?
What content moves them to the next step?
What visual patterns fit them?
What content gets abnormal response?
What comments or DMs reveal hidden demand?
Does content attract the intended avatar or the wrong audience?

Rule

Content should serve a researched audience, not a generic niche.

Content resonance must flow back to Research Brain.

Application To Ads Brain

Ads Brain must not spend money before avatar and channel hypotheses are clear.

Before serious ad testing, Ads Brain should receive:

avatar hypothesis
demographics/geography
channel/platform fit
pain/desire
hook angle
compliance risks
landing page message
conversion goal
test budget
success metric
stop condition
resonance metric
objection/proof notes

Ads Avatar Questions

Ask:

Who are we targeting?
Why this platform?
What hook matches their pain/desire?
What proof do they need?
What message is compliant?
What conversion event proves interest?
What budget is safe for the test?
What result confirms or rejects the avatar?
What ad response indicates resonance?
What click/conversion pattern suggests avatar mismatch?

Rule

Ads should test defined hypotheses, not discover the entire market blindly.

Application To Sales Brain

Sales Brain uses avatar intelligence to shape offer and sales language.

Sales Brain should receive:

decision-maker profile
pain map
desire map
objection map
proof requirement
buying trigger
value language
harmless admissions
risk reversal opportunities
discovery questions
proposal angle
pricing tolerance
ROI concerns
repeated sales call signals

Sales Rule

Sales language should come from avatar evidence, not generic persuasion.

Objections must return to Research Brain as avatar intelligence.

Application To Finance Brain

Finance Brain uses avatar intelligence to evaluate commercial viability.

Finance Brain should review:

spending ability
CAC estimate
LTV estimate
payout/commission potential
subscription potential
price tolerance
margin
tool cost
support cost
refund/rejection/churn risk
pricing resistance signals
payment plan needs
lifetime value assumptions

Finance Rule

The right avatar must be economically viable, not just interested.

Application To Compliance And Risk Brain

Compliance and Risk Brain review avatar and market risk.

They should check:

vulnerable audience risk
regulated category risk
personal data risk
outreach risk
health/finance/legal claim risk
ad platform policy risk
privacy/jurisdiction risk
customer communication risk
reputational risk
testimonial/proof usage risk
lead consent risk
cold outreach risk

Compliance And Risk Rule

Some avatars require stronger care, even when the market is profitable.

Application To Data Brain

Data Brain supports avatar evidence storage.

Data Brain should help structure:

evidence sources
avatar fields
source metadata
validation results
experiment outcomes
language snippets
pain/desire tags
channel tags
geography fields
confidence levels
status fields
resonance signals
signal strength
exact market language
objections
proof requests
lead quality notes
content outlier data
LAPS-related avatar data

Data Rule

Avatar intelligence should become structured reusable data, not lost conversation notes.

Avatar Hypothesis Statuses

Use the following statuses:

Raw Market Idea
Research Needed
Avatar Hypothesis Drafted
Evidence Collection In Progress
Resonance Signal Collection In Progress
Ready For Experimentation
In Validation
Validated
Partially Validated
Pivot Required
Rejected
Parked With Trigger
Routed To Execution Brain
Active Avatar Under Monitoring

Rule

An avatar must have a status before downstream execution.

Avatar Handoff Rules

Research Brain may hand off an avatar to:

Experimentation Brain for testing
Affiliate Brain for offer/campaign development
PPL Brain for vertical test planning
AIBS Brain for client package design
Content Brain for content strategy
Ads Brain for paid test planning
Sales Brain for offer/sales language
Finance Brain for economics modelling
Compliance/Risk Brain for risk review
Data Brain for signal storage

Rule

The handoff must state whether the avatar is validated, partially validated, or still a hypothesis.

The handoff must also state resonance strength.

Drift Protection

This framework protects MWMS from:

creating offers before avatars
running ads before audience clarity
building AIBS packages around assumed clients
choosing PPL verticals by payout alone
choosing affiliate offers by commission alone
creating content for vague audiences
guessing geography
guessing buyer language
overbuilding before conversations
ignoring customer language
ignoring resonance signals
letting Plus over-route broad insights to AIBS
skipping Research Brain
skipping Experimentation Brain
treating assumptions as market truth
spending money before validation
asking M to build around unvalidated assumptions
treating desk research as final proof
treating content engagement as proof without checking avatar quality
ignoring objections as avatar intelligence
failing to update avatar after market response

Avatar Drift Signals

Watch for:

avatar described as “everyone”
market too broad
no direct language evidence
no geography
no channel location
unclear buyer
unclear decision-maker
pain is generic
offer created before avatar
funnel created before avatar
content created before avatar
ad campaign planned before avatar
PPL vertical selected only by payout
affiliate offer selected only by commission
AIBS package selected only by tool capability
no validation test
no Experimentation Brain handoff
no confidence rating
no resonance signal plan
no resonance tracking
content gets response from wrong audience
outreach replies contradict avatar assumption
objections are ignored
pricing resistance is ignored
lead quality feedback is ignored

Rule

Avatar drift must be corrected before execution.

Avatar Hypothesis Checklist

Before approving an Avatar Hypothesis Pack, check:

Is the market clear?
Is the sub-market clear?
Is the avatar specific?
Is the problem defined?
Is the desire defined?
Is geography relevant?
Is the demographic profile useful?
Is the psychographic profile useful?
Is avatar language collected?
Are current alternatives known?
Are buying triggers known?
Are objections known?
Is channel location mapped?
Is offer fit estimated?
Are economics estimated?
Are compliance/risk issues flagged?
Are assumptions visible?
Is evidence quality rated?
Is confidence level stated?
Is resonance signal plan included?
Is known resonance recorded?
Is resonance strength rated?
Is validation required?
Is Experimentation Brain handoff ready?

Reusable Avatar Output Format

Use this format when Research Brain creates an avatar.

Avatar Hypothesis Name:
Commercial Engine:
Market Category:
Sub-Market:
Avatar Type:
Who They Are:
Where They Are:
What They Want:
What They Fear:
Core Pain:
Core Desire:
Current Alternative:
Buying Trigger:
Main Objections:
Avatar Language:
Attention Channels:
Likely Offer Fit:
Likely Channel Fit:
Economics Estimate:
Risk / Compliance Notes:
Resonance Signal Plan:
Known Resonance Signals:
Resonance Strength: None / Early / Moderate / Strong
Evidence Sources:
Assumptions:
Unknowns:
Confidence Level:
Validation Test Needed:
Recommended Next Brain:
Decision:

Example Avatar Hypothesis — Affiliate

Avatar Hypothesis Name: Men 45+ Brain Performance Buyer
Commercial Engine: Affiliate
Market Category: Cognitive performance / self-improvement
Sub-Market: Men 45+ looking for focus, motivation, and mental sharpness
Core Pain: Feeling mentally slower, less motivated, or less productive
Core Desire: More focus, energy, confidence, and mental edge
Likely Channel: YouTube / Google Video Ads / health-performance content
Offer Fit: Cognitive performance VSL offer
Risk Notes: Avoid medical/cure claims and exaggerated brain claims
Resonance Signal Plan: Test pre-video hooks, landing page VSL clicks, content comments, and demographic response
Validation Test: VEO3 pre-video hook test + landing page VSL click test

Example Avatar Hypothesis — PPL

Avatar Hypothesis Name: Homeowner Solar Quote Lead
Commercial Engine: PPL
Market Category: Energy / home improvement
Sub-Market: Homeowners concerned about rising power bills
Core Pain: High electricity bills and uncertainty about solar/battery options
Core Desire: Lower bills, energy control, quote clarity
Likely Channel: Google Search / Facebook lead form / local content
Offer Fit: Free quote or eligibility check
Risk Notes: Location, subsidy, and claim accuracy matter
Resonance Signal Plan: Track form starts, quote requests, geography performance, rejection reasons, and buyer feedback
Validation Test: Local landing page + quote form test

Example Avatar Hypothesis — AIBS

Avatar Hypothesis Name: Missed Lead Service Business Owner
Commercial Engine: AIBS
Market Category: Small business operations
Sub-Market: Local service businesses losing leads due to slow follow-up
Core Pain: Leads come in but are not followed up fast enough
Core Desire: Faster lead response, better qualification, more booked calls
Likely Channel: LinkedIn, cold value outreach, local business audit, referral
Offer Fit: Lead Qualification AIOS
Risk Notes: CRM/data access and client communication rules required
Resonance Signal Plan: Track audit requests, discovery calls, repeated objections, willingness-to-pay signals, and lead follow-up pain language
Validation Test: Free lead follow-up audit + 10 discovery calls

Example Avatar Hypothesis — Content

Avatar Hypothesis Name: AI-Curious Small Business Owner
Commercial Engine: Content / AIBS
Market Category: AI adoption
Sub-Market: Business owners who want AI but are overwhelmed by tools
Core Pain: Confusion, tool overload, fear of wasting money
Core Desire: Simple AI system that saves time or improves revenue
Likely Channel: YouTube / LinkedIn / newsletter
Offer Fit: AIOS education content → audit/strategy call
Risk Notes: Avoid hype and false automation claims
Resonance Signal Plan: Track content outliers, comments, lead magnet requests, DMs, and audit call bookings
Validation Test: Content probe + lead magnet signup

Strategic Summary

This framework corrects a major MWMS sequencing issue.

It confirms that avatar work belongs upstream in Research Brain, not downstream after offer creation.

The v1.1 update strengthens this by adding client resonance intelligence.

The correct MWMS flow is:

Research Brain defines the market and avatar hypothesis.
Research Brain defines the resonance signals to watch.
Experimentation Brain tests the hypothesis.
Research Brain captures and interprets resonance.
Execution Brains act on validated intelligence.

This protects Affiliate Brain, PPL Brain, AIBS Brain, Content Brain, Ads Brain, and Sales Brain from building around weak assumptions.

The most important lesson is:

The avatar is the foundation of the offer, channel, copy, funnel, economics, and execution pathway.

If the avatar is wrong, the downstream system can be wrong.

If the avatar is researched, tested, and refined through resonance, MWMS can move with much more confidence.

Final Standard

The MWMS standard is:

No serious offer, funnel, ad campaign, content strategy, affiliate test, PPL vertical, AIBS package, or client AIOS should be built around an unresearched avatar.

Research Brain must define the avatar hypothesis.

Research Brain must define resonance signals.

Experimentation Brain must validate the hypothesis.

Research Brain must update the avatar from resonance and test data.

Execution Brains must use the validated avatar intelligence.

That is the MWMS Avatar Hypothesis And Market Definition standard.

Change Log

Version: v1.1

Date: 2026-06-02
Author: MWMS HeadOffice

Change:

Updated the MWMS Avatar Hypothesis And Market Definition Framework using the actual v1.0 page supplied by Martyn as the base.

Added the v1.1 Client Resonance Intelligence upgrade from the AI Automations by Jack — Client Resonance / Content Engine / Leads / Follow-up / Content Hacks / Data / Commercial Constraint block.

Expanded the framework so Research Brain is responsible not only for creating Avatar Hypothesis Packs, but also for defining, capturing, interpreting, and routing resonance signals.

Added new and expanded sections:

Client Resonance Signals
Resonance Strength Levels
Resonance Data Fields
Resonance Signal Collection Plan
Resonance Signals Captured
Avatar Hypothesis Refined
Resonance Evidence field
Resonance Signal Plan field
Known Resonance Signals field
Resonance Strength field
Resonance Metric field in Experimentation Handoff
Active Avatar Under Monitoring status

Expanded the MWMS Avatar Hypothesis Flow from 18 stages to 21 stages by adding:

Resonance Signal Collection Plan Created
Resonance Signals Captured
Avatar Hypothesis Refined

Updated Avatar Hypothesis Pack Template, Reusable Avatar Output Format, Avatar Confidence Levels, Avatar Rejection Rules, Avatar Pivot Rules, Research Brain Responsibilities, HeadOffice Responsibilities, Data Brain application, Drift Protection, Avatar Drift Signals, and Avatar Hypothesis Checklist.

Mapped resonance logic across Affiliate Brain, PPL Brain, AIBS Brain, Content Brain, Ads Brain, Sales Brain, Finance Brain, Compliance/Risk Brain, Data Brain, Experimentation Brain, Research Brain, and HeadOffice Brain.

Purpose of update:

To ensure MWMS does not treat avatar research as a one-time desk research exercise. Research Brain must now keep avatar intelligence alive by capturing market response, content outliers, DMs, comments, lead magnet requests, sales objections, pricing signals, lead quality feedback, and experiment results, then using that resonance evidence to refine avatar hypotheses before execution Brains act.

Version: v1.0

Date: 2026-06-02
Author: MWMS HeadOffice

Change:

Created the MWMS Avatar Hypothesis And Market Definition Framework after Martyn identified that offer and niche selection should not begin with the offer alone. Martyn clarified that Research Brain should first define the market and perfect avatar hypothesis before Affiliate Brain, PPL Brain, AIBS Brain, Content Brain, Ads Brain, or Sales Brain build campaigns, offers, funnels, packages, or content.

Captured the corrected MWMS architecture:

Research Brain defines the market and avatar hypothesis.
Experimentation Brain tests and validates the hypothesis.
Execution Brains act only after upstream intelligence is clear.

Added the MWMS Avatar Hypothesis Flow:

Market Category Selected
Sub-Market Defined
Use Case / Problem Area Identified
Avatar Hypothesis Created
Avatar Language Collected
Pain / Desire Mapped
Demographic And Geographic Profile Drafted
Psychographic Profile Drafted
Current Alternatives Identified
Buying Triggers And Objections Mapped
Channel Location Mapped
Offer Fit Estimated
Economics Estimated
Compliance And Risk Screened
Avatar Hypothesis Pack Produced
Experimentation Brain Test Handoff Created
Validated Learning Returned To Research Brain
Execution Brain Receives Avatar Intelligence

Added Avatar Hypothesis Pack Template, Experimentation Brain Handoff Fields, Avatar Evidence Sources, Avatar Confidence Levels, Avatar Rejection Rules, Avatar Pivot Rules, Minimal Viable Hypothesis Rule, Avatar Statuses, Avatar Handoff Rules, Avatar Drift Signals, Avatar Hypothesis Checklist, and reusable avatar output format.

Mapped application across Affiliate Brain, PPL Brain, AIBS Brain, Content Brain, Ads Brain, Sales Brain, Finance Brain, Compliance/Risk Brain, Data Brain, Experimentation Brain, Research Brain, and HeadOffice Brain.

Added example avatar hypotheses for Affiliate, PPL, AIBS, and Content.

Purpose of creation:

To create a Research Brain-owned upstream avatar and market-definition standard that prevents MWMS from building offers, campaigns, funnels, content, PPL tests, affiliate campaigns, or AIBS client packages around guessed avatars, and to ensure that Experimentation Brain validates avatar hypotheses before execution Brains act.

END — MWMS AVATAR HYPOTHESIS AND MARKET DEFINITION FRAMEWORK v1.1