Brainforge Knowledge

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Agency Research & Discovery

Purpose: Document conversations with agency professionals to identify painpoints, opportunities, and insights that inform content, case studies, SOWs, and go-to-market strategy.

Created: 2026-02-12
Owner: Luke Scorziell (GTM)

Overview

This research program captures real conversations with people inside agencies to understand:

  • Current AI adoption challenges
  • Workflow painpoints and bottlenecks
  • Decision-making processes
  • Emerging opportunities
  • Agency archetypes and maturity levels

How to Use This Research

1. Identify Top Painpoints

→ See insights/painpoints-database.md for aggregated findings

2. Write Content

→ Reference applications/content-ideas.md for content derived from conversations
→ Connect to existing series: content/cc-content-system/luke-gpt/projects/agency-ai-integration-series/

3. Develop Case Studies

→ See applications/case-study-opportunities.md for potential case study subjects

4. Write SOWs

→ Reference applications/sow-patterns.md for common painpoint → solution patterns
→ Connect to: knowledge/sales/sow-framework/

5. Plan Campaigns & GTM

→ Use insights/themes.md and insights/personas.md for campaign targeting
→ Connect to: knowledge/sales/campaign-launch/

Folder Structure

/research/agencies/
├── conversations/       Raw conversation notes with agency professionals
├── insights/           Synthesized patterns, painpoints, and themes
└── applications/       How we use these insights (content, case studies, SOWs)

Conversation Capture Process

  1. During/After Conversation: Take raw notes
  2. File in /conversations/: Use naming format YYYY-MM-DD_firstname-lastname_company.md
  3. Extract Insights: Add painpoints to insights/painpoints-database.md
  4. Identify Applications: Update relevant files in applications/
  5. Link to Existing Work: Connect insights to active projects/campaigns
  • Active Content Series: content/cc-content-system/luke-gpt/projects/agency-ai-integration-series/
  • SOW Framework: knowledge/sales/sow-framework/
  • GTM Content: gtm/content/
  • Sales Leads: knowledge/sales/leads/ (once a conversation becomes an opportunity)
  • Client Work: clients/{client-name}/ (once engaged)

Research Questions We’re Answering

  • What are the top 5 painpoints agencies face with AI adoption?
  • What AI maturity stages exist, and what does each stage need?
  • Which agency archetypes exist? (early adopters, skeptics, overwhelmed, etc.)
  • What objections do agencies have about working with external consultants?
  • What proof points and case studies resonate most?
  • What language/terminology do agency professionals use?

Conversation Log

DatePersonCompanyRoleKey ThemesStatus
2026-02-12Jocelyn Swift HarjesAyzenbergVP of Insights & DataInternal knowledge base, AI tools, enterprise adoptionCaptured

Next Actions

  • Synthesize Jocelyn conversation into painpoints database
  • Identify case study opportunity (Ayzenberg internal KB project)
  • Create agency persona: “Mid-Maturity Agency” based on Ayzenberg profile
  • Update content ideas with Walmart internal agency angle

Graph View