The Expert Fatigue Epidemic in Networks Like GLG and Third Bridge

In the competitive landscape of business intelligence, primary research remains the gold standard for gaining market insights. However, a concerning trend has emerged within established expert networks like GLG (Gerson Lehrman Group) and Third Bridge: expert fatigue. This phenomenon is silently eroding the quality of insights while costs continue to rise. Let's explore what's happening and how forward-thinking teams are adapting.

What Is Expert Fatigue and Why Does It Matter?

Expert fatigue occurs when in-demand professionals in networks like GLG and Third Bridge become overwhelmed with interview requests, leading to several problematic outcomes:

• Declining availability of top experts
• Shorter, less engaged conversations
• Recycled insights rather than fresh perspectives
• Higher fees for diminishing returns

According to a 2022 survey by Inex One, over 65% of frequent expert network users reported increasing difficulty securing their preferred experts, with wait times extending from days to weeks for specialized knowledge areas.

The Economics Behind the Expert Fatigue Epidemic

The traditional expert network model has created perfect conditions for expert fatigue:

Supply-Side Pressure

Expert networks like GLG and Third Bridge maintain proprietary pools of professionals. Their business model relies on maximizing the utilization of these experts. As these platforms scale, top experts face mounting pressure to participate in multiple calls per week.

A former GLG expert in pharmaceutical pricing shared anonymously: "After my fifteenth nearly identical conversation about the same market dynamics in a single quarter, my ability to provide thoughtful, customized insights definitely suffered. You start operating on autopilot."

Broker Model Economics

The economics make the problem worse. Traditional networks:

• Typically charge clients $1,000+ per hour for expert access
• Pay experts $200-400 per hour
• Create incentives to maximize the number of calls
• Focus on expert quantity over sustained quality of engagement

The Hidden Costs of Expert Network Fatigue

For companies relying on these insights, the costs extend beyond the considerable fees:

1. Delayed Decision Making: As wait times for top experts increase, critical business decisions face delays
2. Compromised Quality: Fatigued experts provide less nuanced, less actionable insights
3. Echo Chamber Risk: When the same experts speak to multiple competitors, insights become homogenized
4. Relationship Limitations: The broker model prevents building ongoing relationships with valuable experts

How Market Leaders Are Responding

Forward-thinking companies are shifting their approach to primary research in three key ways:

1. Building Owned Research Networks

Rather than renting temporary access through brokers, companies are building their own research networks. Using technology platforms, teams can turn their existing LinkedIn connections into a sustainable research engine.

Unlike traditional firms that own the supply and rent it back to you, new approaches help you recruit directly through your own accounts, removing the broker layer while keeping the connections you make.

2. Taking a Target-First Approach

While panel marketplaces like Respondent and User Interviews improved workflows, they still operate as pool-first systems that work best when your target is already available.

Market leaders are shifting to target-first outreach that starts with exactly who you need rather than who happens to be available. This approach is especially valuable for strict targeting requirements where filtering through "close enough" candidates wastes precious time.

3. Leveraging AI for Faster Synthesis

The time from interviews to insights is critical in fast-moving markets. Companies now use AI tools to transform raw interviews into actionable takeaways in hours instead of days, extracting quotes, generating charts, and summarizing key findings.

The Future of Expert Engagement

The expert fatigue epidemic in networks like GLG and Third Bridge signals a fundamental shift in how companies approach primary research. The future belongs to teams who:

• Own their research networks rather than renting access
• Build lasting relationships with experts through direct connection
• Move faster by using technology to automate outreach and synthesis
• Create a sustainable model that respects expert time and knowledge

Moving Beyond the Broker Model

As markets shift faster and budgets tighten, the traditional model of renting expert access is showing its limitations. Expert fatigue is just one symptom of a system that prioritizes transaction volume over relationship quality.

By building owned research networks, companies not only avoid the broker markup but create a lasting competitive advantage. The connections you make stay with you, allowing for follow-up conversations, relationship building, and deeper insights over time.

For strict targets particularly, direct outreach through your own network provides a faster path to the exact people you need, rather than filtering through a pre-existing pool.

Conclusion: From Renting to Owning

The expert fatigue epidemic in networks like GLG and Third Bridge represents both a challenge and an opportunity. As traditional expert networks struggle with the consequences of their broker-centric model, companies have the chance to reimagine their approach to primary research.

By shifting from renting access to owning your research network, you can recruit the exact people you want, spend less than with brokered firms, and keep the valuable relationships you create. The result is not just better research today, but a sustainable advantage that grows stronger with each connection.