✅ Agency Research System - Setup Complete

Created: 2026-02-12
Status: Ready to Use
First Conversation: Jocelyn Swift Harjes (Ayzenberg) - Captured ✅


What I Built For You

I’ve created a comprehensive research system at /knowledge/research/agencies/ that addresses all 5 of your use cases:

✅ 1. Identify Top Agency Painpoints

Location: insights/painpoints-database.md

  • 7 painpoints identified from Jocelyn conversation (P001-P007)
  • Categorized and prioritized
  • Top 5 ranked by severity + addressability
  • Ready to add more as you have conversations

✅ 2. Write Content Based on Painpoints

Location: applications/content-ideas.md

  • 8 content ideas generated from research
  • 1 marked URGENT (Brainforge internal tools case study)
  • Mapped to specific painpoints
  • Connected to your existing agency-ai-integration-series

✅ 3. Develop Case Studies Around Painpoints

Location: applications/case-study-opportunities.md

  • 3 case study opportunities tracked
  • Brainforge Internal Tools (urgent, needed this week)
  • Ayzenberg KB project (pending engagement)
  • Walmart Internal Agency (long-shot via Ashley Owen)

✅ 4. Write SOWs Using Painpoints

Location: applications/sow-patterns.md

  • 4 painpoint → solution patterns documented
  • Pricing guidance included (40K range for various engagements)
  • Connected to your existing SOW framework
  • 2-week sprint model emphasized

✅ 5. Plan Campaigns & GTM Around Painpoints

Location: insights/personas.md + insights/themes.md

  • 1 persona defined: “Mid-Maturity Agency” (based on Ayzenberg)
  • 5 themes identified (Speed, ROI Gap, Internal Systems, Silos, Enterprise Influence)
  • Messaging recommendations included
  • Campaign targeting guidance

📁 Full System Structure

/knowledge/research/agencies/
├── README.md                           ← System overview
├── QUICK_REFERENCE.md                  ← Your navigation guide (START HERE)
├── CONVERSATION_TEMPLATE.md            ← Copy this for new conversations
│
├── conversations/                      ← Raw conversation notes
│   └── 2026-02-12_jocelyn-swift-harjes_ayzenberg.md
│
├── insights/                          ← Synthesized patterns
│   ├── painpoints-database.md         ← P001-P007 (USE CASE #1)
│   ├── personas.md                     ← Agency archetypes (USE CASE #5)
│   └── themes.md                       ← Emerging patterns (USE CASE #5)
│
└── applications/                      ← How to use insights
    ├── content-ideas.md               ← 8 ideas (USE CASE #2)
    ├── case-study-opportunities.md    ← 3 opportunities (USE CASE #3)
    └── sow-patterns.md                ← 4 patterns (USE CASE #4)

Total Files Created: 10 markdown documents (fully structured and populated)


🎯 Your Jocelyn Conversation - What I Captured

Key Insights Extracted:

Painpoints (7 total):

  1. P001: Cross-Platform Tool Limitations (Mac vs PC)
  2. P002: Unclear ROI on AI Tools ← High priority
  3. P003: Siloed Teams & Data ← High priority
  4. P004: Internal Knowledge Base Complexity ← High priority, direct opportunity
  5. P005: CEO Expectation Management
  6. P006: Slow Traditional Consultancy ← Your key differentiator
  7. P007: Variable Client AI Maturity

Opportunities (3 total):

  1. 🔴 URGENT: Create Brainforge internal tools case study (Jocelyn requested this)
  2. 🟡 Ayzenberg internal KB project (Jocelyn will talk to Michael)
  3. 🟢 Walmart/Ashley Owen connection (long-shot but huge)

Persona Created:

  • Mid-Maturity Agency (50-500 employees, using AI but struggling with ROI, CEO is AI-forward, needs speed and proof)

Content Ideas Generated:

  • Case study: Brainforge tools (URGENT - needed for follow-up)
  • “How to Measure AI ROI” (addresses top painpoint)
  • “2 Weeks vs. 2 Years” (emphasizes speed differentiator)
  • “Breaking Down Agency Silos” (classic problem, AI solution)
  • Plus 4 more supporting ideas

🚀 Your Immediate Next Steps

This Week (Priority Actions):

1. Create Brainforge Internal Tools Case Study 🔴 URGENT

Why: Jocelyn specifically asked for this + needed for Walmart outreach

What to Include:

  • SOW generator (time before/after)
  • Knowledge base setup
  • Internal automation tools
  • 2-week timeline emphasis
  • Screenshots/demos
  • Team quotes

Where to Get Info:

  • Interview Uttam about internal tools
  • Gather metrics (SOW time savings, KB usage)
  • Take screenshots

Deadline: Feb 18 (end of this week)

Actions:

  • Gather internal metrics
  • Interview Uttam/team for quotes
  • Take tool screenshots
  • Draft case study (use examples in vault for structure)
  • Create PDF version
  • Send to Jocelyn

2. Follow Up with Jocelyn 🟡

Timeline: Around Feb 19 (give her a week to talk to Michael)

Message:

  • Thank her for conversation
  • Share the case study you created
  • Ask if she’s had a chance to discuss with Michael
  • Offer to connect with Ashley Owen (Walmart)

3. Research Ashley Owen 🟡

Who: Head of Strategy, Walmart Creative Studio
Context: Leading Walmart’s internal agency, reducing external agency dependency

Actions:

  • Find her on LinkedIn
  • Research Walmart internal agency (press, announcements)
  • Prepare personalized outreach (include case study)
  • Consider Jocelyn intro vs. direct outreach

🔄 Workflow for Future Conversations

When You Have Your Next Agency Conversation:

  1. Capture (during/after conversation):

    • Copy CONVERSATION_TEMPLATE.md
    • Save as /conversations/YYYY-MM-DD_firstname-lastname_company.md
    • Fill in notes, quotes, painpoints
  2. Synthesize (within 24 hours):

    • Add painpoints to insights/painpoints-database.md
    • Update or create persona in insights/personas.md
    • Add themes to insights/themes.md
  3. Apply (same day):

    • Add content ideas to applications/content-ideas.md
    • Add case study opportunities to applications/case-study-opportunities.md
    • Add SOW patterns to applications/sow-patterns.md
  4. Connect (ongoing):

    • Update your content calendar based on insights
    • Share insights in sales standups
    • Reference painpoints when creating SOWs
    • Use personas for campaign targeting

📊 Current Research Status

Conversations: 1
Painpoints: 7
Personas: 1
Themes: 5
Content Ideas: 8
Case Studies: 3 opportunities
SOW Patterns: 4

Goal: 4-6 agency conversations per month to validate patterns


🔗 How This Connects to Your Existing Work

Agency AI Integration Series

knowledge/sales/content/cc-content-system/luke-gpt/projects/agency-ai-integration-series/

Integration Points:

  • Post 2 (Why AI Fails): Add P002 (ROI) and P003 (silos) insights
  • Post 3 (Hours to Seconds): Use time-saving examples from research
  • Post 5 (Teaching Clients): Connect to Walmart internal agency trend
  • Post 6 (New Agency Model): Emphasize 2-week speed (P006)
  • Post 8 (Enterprise AI): Use P005 (CEO management) insights

SOW Framework

knowledge/sales/sow-framework/

Your research patterns directly map to SOW templates:

  • Pattern #1: Internal KB Build → Data platform template
  • Pattern #2: ROI Measurement → Create new template
  • Pattern #3: Rapid Sprint → Rapid prototyping template
  • Pattern #4: Training → Team enablement template

Sales Pipeline

When conversations become opportunities:

  • Create lead folder in knowledge/sales/leads/{company}/
  • Reference original conversation from research
  • Use painpoint insights in discovery
  • Apply SOW patterns to proposals

💡 Key Insights from Jocelyn Conversation

What You Should Remember:

  1. Speed is everything: “2 weeks vs. a year” was the most impressive thing
  2. ROI is the gap: Agencies are using AI but can’t prove value
  3. Show, don’t tell: Jocelyn wants to SEE what you’ve built (case study request)
  4. Internal-first: Agencies are building internal systems before client work
  5. Silos are real: BI/social/brand teams don’t talk to each other

Quotes to Use in Content:

“They’re seeing a lot of people use co-pilots but not seeing the ROI on it.”

“BI team doesn’t care what social media team wants for research. Brand managers have questions and aren’t getting answers.”

“2 weeks versus a year with a traditional consultancy”


❓ Questions I Have For You

  1. Conversation cadence: How many agency conversations do you expect to have per month? (I planned for 4-6)

  2. Case study creation: Do you want help drafting the Brainforge internal tools case study, or will you handle that?

  3. Team visibility: Should this research be shared in your weekly sales standups or team meetings?

  4. Content integration: Should I help you map specific painpoints into your existing agency-ai-integration-series post outlines?


🎉 What You Can Do Right Now

  1. Read: /knowledge/research/agencies/QUICK_REFERENCE.md (your main guide)

  2. Review: Your Jocelyn conversation in /knowledge/research/agencies/conversations/2026-02-12_jocelyn-swift-harjes_ayzenberg.md

  3. Check: Top 5 painpoints in /knowledge/research/agencies/insights/painpoints-database.md

  4. Start: Creating that Brainforge internal tools case study (urgent!)

  5. Plan: Your follow-up with Jocelyn (around Feb 19)


📞 Get Started

Your best starting point:

Open /knowledge/research/agencies/QUICK_REFERENCE.md - it has everything you need for navigation and workflow.

Your most urgent action:

Create the Brainforge internal tools case study this week. It unlocks:

  • Jocelyn follow-up (Ayzenberg opportunity)
  • Ashley Owen outreach (Walmart opportunity)
  • Content for LinkedIn
  • Proof point for all future conversations

System Status: ✅ Complete and Ready
Next Conversation: Use CONVERSATION_TEMPLATE.md and repeat the workflow
Questions: Check QUICK_REFERENCE.md or ask me!

Good luck with your agency conversations! 🚀