January 27, 2026
Traditional expert networks like GLG often create frustrating scheduling experiences for users. This article examines the pain points of booking and rescheduling expert calls, the hidden costs of these inefficiencies, and how modern platforms are reimagining the process with direct connections and streamlined workflows.
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If you've ever worked with traditional expert networks like GLG (Gerson Lehrman Group), you're likely familiar with the unique form of friction that comes with their scheduling processes. What should be a straightforward task—connecting researchers with experts—often becomes an exercise in patience and persistence. Let's examine why booking and rescheduling expert sessions through intermediary networks can be so challenging, and how these inefficiencies impact your research timeline and budget.
GLG and similar firms operate on a brokered access model. They own the relationships with their expert network and facilitate connections between clients and these experts. While this model has been the industry standard for decades, it creates several inherent scheduling challenges:
Every communication must flow through an account manager or coordinator. This creates a multi-step process:
Each step introduces delays and potential miscommunications. According to research from BCG, knowledge workers spend an average of 5.6 hours per week scheduling meetings—a figure that likely increases when working through intermediaries.
The real pain emerges when plans change. Consider what happens when either you or the expert needs to reschedule:
This process can easily stretch over days, especially if there are time zone differences or delayed responses. According to a survey by Doodle, professionals spend an average of 4.5 hours each week scheduling and rescheduling meetings—time that could be spent on actual research and analysis.
These scheduling inefficiencies create several significant costs that often go unmeasured:
Perhaps the most significant cost is the extended timeline to gather critical market intelligence. When each expert call takes days or weeks to arrange, your entire research process slows down. In fast-moving markets or time-sensitive decisions, these delays can be particularly costly.
According to Harvard Business Review, 72% of executives report that bad decisions are as frequent as good ones in their organization, with slow or delayed decision-making being a major contributor.
The back-and-forth communication creates an administrative burden that falls on both you and your team. The mental energy spent on scheduling logistics detracts from higher-value work like developing thoughtful research questions or analyzing findings.
The inefficiency is built into the pricing model. When you pay premium rates to expert networks, part of what you're paying for is the human coordination layer—regardless of how inefficient it might be.
Experts themselves often become frustrated with complex scheduling processes. This can lead to decreased availability, less engagement during sessions, or experts leaving networks altogether—reducing the pool of knowledge you can access.
A product team at a SaaS company was researching pricing strategies for a new enterprise offering. They scheduled 15 expert calls through a traditional network to understand competitive benchmarks and customer value perceptions.
Due to scheduling challenges:
The extended timeline and delays cost them an estimated $180,000 in delayed revenue, not counting the actual fees paid to the expert network.
The market is shifting toward more efficient models that eliminate these scheduling bottlenecks. Modern approaches focus on:
Platforms that allow experts and researchers to connect directly through integrated scheduling tools eliminate the need for intermediary coordination. When experts can share their availability through tools like Calendly or Cal.com, and researchers can book directly, the process shrinks from days to minutes.
When you build and maintain direct relationships with experts—rather than renting access through intermediaries—you can establish more efficient communication channels. This relationship continuity makes future sessions easier to arrange.
Automated scheduling assistants, availability matching, and integrated calendar management can replace manual coordination. These technologies can find optimal meeting times across different time zones and preferences without human delay.
Forward-thinking organizations are moving beyond the traditional expert network model altogether. By using their own LinkedIn networks as outreach engines, they're building direct relationships with experts and eliminating the scheduling middleman.
This approach delivers several advantages:
If you're tired of the calendar chaos inherent in traditional expert networks, consider these steps:
The frustration of booking and rescheduling expert sessions through traditional networks like GLG isn't just an annoyance—it's a significant drag on your research efficiency and effectiveness. As markets move faster and decisions become more time-sensitive, organizations can't afford to wait days or weeks to speak with the right experts.
By shifting to more direct models that eliminate unnecessary coordination layers, you can accelerate your time-to-insight while building a valuable network asset that grows with each research project. The future of expert access isn't about renting relationships through intermediaries—it's about owning your research network and connecting directly with the exact people you need to speak with.
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