Building a High-Performing Brokerage Team

A client has one broker. Whatever the team average looks like on a report, a client's experience of the brokerage is the experience of that one relationship, repeated across renewals, claims and the occasional mid-term change. A team that averages well and varies widely can produce two populations of client at the same time: some who would recommend the firm without being asked, and some who are quietly comparing. Both sit inside the same satisfaction figure, and the figure describes neither of them.

The industry research describes the same picture at market scale. According to the 2026 Vero SME Insurance Index, which surveyed 1,250 SMEs and 250 large businesses in September 2025, broker satisfaction has stabilised at 69% across SMEs and large businesses, in line with the previous year. Stability is the headline. The figure behind it is that the same measure reached 87% in 2024, so satisfaction now sits well below a level recorded only two years earlier.

The more useful number for a principal is the spread rather than the level. The Index breaks satisfaction into four client size bands: 67% among micro-businesses employing one to four people, 86% among those employing five to 19, 89% among those employing 20 to 199, and 82% among those employing 200 or more. The lowest of the four is the micro-business figure and the highest is the 89% recorded in the 20 to 199 band. One caveat for anyone reading the report directly: its prose describes satisfaction as strongest among large businesses, which its own chart does not quite bear out, and the figures here follow the chart. A single industry average is holding steady while the experience underneath it varies by 22 percentage points depending on which kind of client is answering the question.

Broker use has held steady alongside that movement. Four in five businesses used a broker in the past year, and of those, 42% have used the same broker for more than three years, with over a quarter past the five-year mark. The Index reports broker use as largely consistent with previous years. That is a different measure from client retention and should not be read as one. What the research does show is that the two things it reports, satisfaction and relationship duration, have not moved together. The reading this article takes from that, and it is a reading rather than a finding, is that how long a client has stayed says little on its own about how the conversations inside that relationship are going.

The question of what separates a great broker from a good one has a reasonably clear answer at the level of the individual, and four observable behaviours cover most of it. The team-level question is different, and it is the one a principal actually faces: how far apart the brokers are, and what closes that distance.

That reframing changes what a brokerage works on. Recruiting a standout performer raises the top of the range. It does little to the bottom of it. The proposition this article works from, offered as an operational hypothesis rather than a research finding, is that the lower end of a range is where client relationships can come under the most pressure, and that lifting the floor is therefore worth more to a brokerage than raising the ceiling. It is also slower work and considerably less visible.

None of this is a judgement about any particular team. It is an interpretation rather than a finding, and it is the one this article is built on: where capable people do adaptive work without a shared reference point, each of them may develop a version that works, and those versions can drift apart over time. Whether any of that drift is visible to anyone is a separate question, and that one is answerable.

A shared standard is a short written description of what a client conversation has to achieve, agreed by the people who have those conversations. It names outcomes rather than wording. It is specific enough that two experienced people listening to the same recording would reach the same view about whether it was met.

That last property is what makes it a standard rather than a preference, and it is the one most often absent. A service charter that asks brokers to communicate clearly and act in the client's interests is accurate, defensible and almost impossible to disagree about, which is exactly why it cannot settle a disagreement. Two team leaders can both apply it honestly to the same renewal call and reach opposite conclusions. A standard that cannot produce the same answer twice is a statement of values, and a brokerage needs both, separately.

The difference between a standard and a script is the difference between a destination and a route. A script fixes the words. A standard fixes what has to be true by the end of the conversation and leaves the route to the broker. Scripts have a real place in broking: regulated disclosures, consent wording, anything where the exact form of words carries legal weight. Outside those, scripts tend to struggle, because a client conversation reorganises itself around what the client says. A broker working from a script either abandons it when the conversation moves or follows it and sounds like someone reading.

A workable standard has four parts. It names the conversation types it applies to, because a renewal, a new business enquiry and a first notification of loss do not have the same job. It lists four to six outcomes per type, each written so that a reviewer could point to the moment it happened or did not. It is written in the words the team already uses rather than imported from a contact centre scorecard. And it carries examples, because the gap between an outcome and the sentence that achieves it is where most of the learning sits.

Length is a design constraint rather than a detail. A standard with 15 items is a document, and documents are consulted rather than held. A standard with five items can sit in a broker's head during a call, which is the only place it does any work. The discipline is in deciding which five, and that decision tends to be harder than writing the list.

The outcomes also have to be the ones that matter to clients rather than the ones that are easy to observe. The Index is useful here because it reports what clients say they value in their own words. Among businesses willing to pay more for a better claims experience, good communication throughout the process is the most-cited reason at 56%, ahead of a simplified process at 53%, the top two of several reasons given. Around 60% of businesses reported receiving risk advice from their broker, and two thirds of those acted on it. Those are outcomes a standard can name, and they are visible in a recording.

The practical differences are observable, and most of them are management habits rather than capabilities.

Consider two six-broker teams, both scoring an average of 78 against the same standard. Every figure here is invented to illustrate the shape of the argument and none of it is drawn from research. Assume the standard carries five outcomes, that each reviewed conversation is scored out of 20 on each outcome, that the five are summed with equal weighting to give a score out of 100, and that a broker's figure is the mean of their scored conversations. Assume also that both teams handle comparable books and that clients are spread evenly across brokers. Team A scores 74, 76, 77, 79, 80 and 82. Team B scores 58, 64, 78, 86, 89 and 93. The averages match. In Team B, roughly one client in three is dealing with a broker scoring in the 50s or 60s, and the team's reported performance gives a principal no way to see them. The average is the same number and it is describing two different businesses.

Measuring consistency is a coverage problem before it is a scoring problem. A score drawn from four calls per broker per month describes those four calls accurately and says little about the distribution they came from. Callyx.ai works on the recordings a brokerage already holds, which is what makes the distribution readable.

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The limit is worth stating plainly. None of this sets the standard, and none of it replaces the judgement of the person having the coaching conversation. What changes is the size of the picture that person is working from, and whether a principal asking how consistent the team is can answer with a distribution rather than an impression.

A high-performing brokerage team is a consistent one. Clients do not experience an average, they experience one relationship, and a team that averages well while varying widely is producing very different businesses for different parts of its book at the same time. The 2026 Vero SME Insurance Index shows the industry version: satisfaction stable at 69% and well below its 2024 peak, with 22 percentage points between its highest and lowest client size bands, while retention holds steady enough to mask the movement.

What closes the distance between brokers is a shared standard: four to six outcomes per conversation type, written in the team's own language, short enough to hold in the head and specific enough that two reviewers reach the same answer. A standard differs from a script in what it fixes. The script fixes the words, which is why it flattens the thing clients respond to. The standard fixes the destination and leaves the route alone.

Moving that standard across a team is mostly management habit: writing it with the people who use it, teaching it from real examples, calibrating the reviewers, running feedback on a rhythm and keeping the whole thing separate from pay. The part that has been genuinely hard is the measurement, because consistency is a property of a distribution and a monthly sample is a thin basis for reading one. For a brokerage already recording its client calls, the limitation has been the reading rather than the record. Callyx.ai turns those recordings into scored evidence against a standard the brokerage sets itself, which is what lets a principal answer a question about team consistency with a range rather than an impression.