buyer-persona-research

Buyer Persona Research, APEX Methodology

Purpose

Build data-driven buyer personas using the Hormozi Value Equation framework. Each persona maps Dream Outcomes to product/service features, identifies real objections, and provides actionable messaging frameworks for web design, content, and marketing.

When to Use

• During client discovery (Step 3 of FWS workflow)
• When building landing pages, service pages, or ad campaigns
• When the team needs alignment on "who we're building for"

Inputs Required

1. Meeting transcription, client's description of their customers
2. Industry/niche, from discovery context
3. Competitor findings, from Step 2 (if available in discovery-context.md)
4. Client website, for analyzing current messaging (if available)

APEX Value Equation

Every persona is built around Hormozi's Value Equation:

Value = (Dream Outcome × Perceived Likelihood) / (Time Delay × Effort & Sacrifice)

Your job: For each persona, maximize the numerator and minimize the denominator.

Value Equation Components

Component	Question to Answer	High Value =
Dream Outcome	What does success look like for this buyer?	Specific, vivid, emotionally resonant
Perceived Likelihood	Do they believe this product/service will actually work?	Social proof, guarantees, case studies
Time Delay	How long until they see results?	Fast wins, quick onboarding, immediate value
Effort & Sacrifice	What do they have to give up or do?	Done-for-you, minimal friction, no learning curve

Workflow

Step 1: Extract Raw Persona Signals

From the meeting transcription and available data, extract:

• Direct quotes about customers ("our typical client is...")
• Customer segments mentioned
• Pain points and frustrations described
• Success stories and outcomes mentioned
• Objections the client hears from prospects
• Decision-making process described
• Budget/pricing sensitivity signals

Step 2: Web Research Enhancement

For each persona signal, research:

• Industry forums/Reddit: What do these buyers actually complain about?
• Review sites: What do they say about competitors?
• LinkedIn: Job titles, company sizes, industries
• Google PAA: What questions do they ask before buying?

Use ~~CRM data if connected for real customer demographics.

Step 3: Build Persona Cards

For each persona (typically 2-3 per client), create a card using the template at templates/persona-card.md.

Required sections per persona:

Identity

• Name (fictional but realistic)
• Job title / Role
• Company size / Industry
• Age range / Demographics
• Annual revenue or budget range

Value Equation Mapping

For each component, provide:

Dream Outcome (rate importance 1-10):

• Primary desired outcome (the big win)
• Secondary outcomes (nice-to-haves)
• Emotional outcome (how they want to feel)
• Status outcome (how they want to be perceived)

Perceived Likelihood (rate current belief 1-10):

• Past experiences (burned before?)
• Trust signals they need (testimonials, case studies, guarantees)
• Proof format preference (data, stories, demos)
• Risk tolerance level

Time Delay (rate tolerance 1-10):

• Expected timeline to results
• Acceptable waiting period
• Quick wins they need to see
• Patience killers (what makes them abandon)

Effort & Sacrifice (rate tolerance 1-10):

• Technical skills required
• Time commitment expected
• What they have to give up
• Learning curve tolerance
• Switching costs from current solution

Psychographics

• Top 3 fears about this purchase
• Top 3 desires driving the purchase
• Information sources they trust
• Decision-making style (analytical, emotional, consensus)
• Buying triggers (what event makes them start looking)

Buyer Journey

Stage	Behavior	Content Need	Objection	Counter
Awareness
Consideration
Decision
Post-Purchase

Messaging Framework

• One-liner: The single sentence that makes them say "that's exactly what I need"
• Headline formula: [Dream Outcome] without [Effort/Sacrifice] in [Time Frame]
• Objection killers: Top 3 objections with ready responses
• Social proof type: What proof format works best for this persona
• CTA language: What action word resonates (get, start, discover, claim, etc.)

Step 4: Validate Against Data

• Cross-reference personas against competitor targeting
• Check keyword intent data (from Step 4 if available)
• Verify assumptions with real search behavior
• Flag any persona assumptions that need client validation

Step 5: Update Discovery Context

Append to discovery-context.md:

• Persona names and one-line descriptions
• Primary Dream Outcomes per persona
• Top 3 objections per persona
• Key messaging angles
• Recommended proof/trust signals

Output

Write completed personas to 04-Buyer-Personas.md using the template.

Quality Checklist

• Each persona has all 4 Value Equation components rated and detailed
• Messaging framework is specific enough to write ad copy from
• Objections are real (sourced from research, not assumptions)
• Buyer journey maps to specific content types
• Personas are distinct (not just demographic variations)
• Discovery context updated with persona findings

Anti-Patterns

• Don't: Create personas based only on demographics (age, location)
• Don't: Make more than 3 personas (focus beats breadth)
• Don't: Use generic pain points ("wants to save time")
• Don't: Skip the objection research (this is where the gold is)
• Don't: Write messaging that sounds like every other competitor

Reference

• See references/apex-value-equation.md for detailed scoring guide
• See references/persona-interview-questions.md for client interview framework