Why are half the experts you get sent wrong for your thesis?

You write a precise brief. You need a former pricing lead from a specific competitor, someone who sat in the seat during the window you care about. Three profiles come back. One left the relevant role four years ago. One is at the right company but two levels removed from the decision. One is genuinely close, but only available next week.

You push back, ask for more, and burn another two days getting to one usable name. By the time the call happens, you have spent more effort vetting the network's shortlist than you will spend on the call itself.

Most analysts treat this as friction to be managed. It is not friction. It is the predictable output of how the person building your shortlist gets paid. Once you see the incentive, every wrong profile you have ever received stops looking like a mistake and starts looking like the system working exactly as designed.

Who is actually choosing your experts?

The person searching the database for you is usually a graduate associate, a few years out of university, sitting in an expensive city. They are good at their job. The job is just not the one you think it is.

Their job is not "find the analyst the single most relevant expert for this thesis." Their job is to hit a weekly hurdle of calls booked, at a profit margin the firm tracks per call. Those two targets, volume and margin, decide which profiles land in your inbox. Your thesis is an input to that process, not the objective of it.

So the question to ask is not "why did they send me a weak expert." It is "what was the associate rewarded for when they sent it."

Bottleneck one: custom recruiting doesn't pay them

The most relevant expert for your brief frequently does not exist in the database yet. They have to be found and recruited from scratch.

A net-new, custom-recruited expert can take the better part of a day to source, approach, and onboard. A name already sitting in the database can be re-pitched in a couple of hours. The associate has roughly seven calls to book this week. The arithmetic is brutal and immediate: custom recruiting one perfect expert costs them the time they need to book three database ones.

So unless your account is large enough to justify the hours, you do not get custom sourcing. You get whoever is already in the system from the last brief someone ran on a similar topic. The profile is "close enough" because close enough is what fits inside the hurdle. The expert built precisely for your question is, by the firm's own incentives, the expert the associate is rewarded for not finding.

Bottleneck two: the cheaper expert makes them more money

Here is the part that surprises people. Your price is fixed. The expert's rate is not.

You pay the same per call whether the expert charges £250 or £500. The difference is the associate's margin, and margin is one of their top-line KPIs. An industry insider described the mechanic almost word for word on a public expert-network forum: clients pay the same regardless of what the consultant charges, so a cheaper expert simply means higher profit on the project.

Read that back slowly. The most senior, most directly relevant operator for your question is usually also the most expensive. Which makes them the expert the associate is structurally discouraged from pitching you, because the relevant one and the profitable one are rarely the same person. You are not being shown the best expert for your thesis. You are being shown the best expert for their margin, at an identical price to you.

Bottleneck three: you are not the priority brief

There is a third filter, and it is about which client gets the associate's good hour.

A multi-billion-dollar fund running a thousand calls a year moves the associate's hurdle in a way a smaller account never can. That fund gets the best hour, the most senior database names, and genuine net-new sourcing when the brief warrants it. A mid-sized fund running 30 calls a year, paying upfront on a smaller contract, is not worth the same hours, so it gets the ten-minute search and the database residue.

The invoice does not differentiate. Both funds pay the same per call. The information they act on does not differentiate either, until it shows up in returns rather than on the bill. When the smaller fund and the larger fund take opposite sides of a trade on inputs of different quality, at the same cost, that gap is the most expensive thing in the whole model, and almost nobody prices it in.

How did the incentive get built this way?

It was not always like this. GLG launched in 1998 as a genuine marketplace, asset-light, two-sided, matching supply and demand and taking a thin spread.

Two things turned the marketplace into a staffing firm. The 2010 to 2014 insider-trading prosecutions forced the category to bolt heavy, manual compliance onto what had been self-service, and manual process means people. Then buyers demanded white-glove service, so the obvious fix was to hire graduates in volume in the most expensive cities in the world.

Once headcount is the binding cost, the comp plan follows. You cannot pay an army of associates to spend a full day each finding the perfect expert, so you give them a volume hurdle and a margin KPI, and you let the database carry the load. The wrong-profile problem is not a customer-service failure that better training would fix. It is load-bearing. Fixing it would mean paying associates to do less and recruit harder, which breaks the economics the whole structure rests on.

Why Woozle's model is fundamentally different

We custom-recruit for the brief. That is the default, not the premium tier.

Because we do not run a per-associate weekly call hurdle, nobody on our team gets paid more for pitching the cheaper expert or for reusing a database name to save time. We run multichannel outreach to find the right person for your specific question, including people who have never been in any expert network's database, and we screen them against your actual thesis before they reach you. You see what the expert earns and what we charge, separately, before any work begins, so there is no hidden margin riding on which expert we pick.

Same compliance bar. Same calibre of expert you were hoping the database would surface. The difference is that finding the right one is the job we are paid to do, rather than the job the comp plan quietly rewards skipping.

If you want to see what a custom-recruited shortlist looks like when the person building it has no margin reason to send you the wrong name, get in touch and we'll run a brief side-by-side against whatever your network is quoting you.