How Hidden Bias Holds Back Organic Growth (And What to Do About It)

Every wealth management leader wishes they could snap their fingers and replicate their top advisers. With slow organic growth and over one-third of advisers set to retire over the next decade,¹ improving the talent pipeline is among the most urgent challenges firms face.

The problem is many leaders believe hiring and development outcomes are out of their control. People are complex; predicting which advisers will develop real commercial acumen or deliver referral-winning client service is always ultimately a guessing game.

But what if that view overlooked hidden biases that shape those decisions and lead to consistently underwhelming outcomes?

Nearly three-quarters of trainees drop out of development programs before they become full-fledged advisers.² That isn’t just bad luck; it’s the product of a system that focuses on the wrong factors when assessing potential.

At SBR, we’ve worked with over 2,000 advisers and built a system to quantify, predict, and improve commercial behaviour. One of the most striking facts it’s uncovered is that most firms don’t actually know what makes their top performers successful.

Three ways bias holds back organic growth

Despite weak firm-wide performance, roughly 10% of advisers still achieve double-digit organic growth.³ Replicating those top performers requires a theory about what helps them achieve their commercial success.

The theory is often unconscious; it might simply appear as an instinct that “this person is a good fit.” But it shapes everything from hiring decisions to which advisers are given the most development and enablement opportunities.

None of this is a problem in itself. These decisions are highly complex and leaders need a way to make them quickly. The issue is how that theory is formed. Because rather than using data to quantify the underlying capabilities that drive client acquisition and win wallet share, leaders typically follow their intuition.

The result is they fall prey to three biases that distort their image of the ideal hire or promising adviser:

1. Surface similarity

Many firms look at their top performers and assume their most visible traits are responsible for their performance. This makes the effort to “replicate” successful advisers literal, with firms often becoming more culturally homogeneous and undermining attempts to create a more dynamic commercial team.

This emphasis on surface similarity is actually the product of multiple cognitive biases.

First is social categorisation: an instinct to group people based on highly visible traits, particularly age, race, and gender.⁴ This extends beyond mere demographics though, reaching into more complex areas like extraversion, height, or attractiveness.

That tendency fuels our second bias, the availability heuristic: a tendency to overestimate the importance of factors that immediately come to mind.⁵ Advisers are unconsciously sorted into crude groups, then those groups are used to explain differences in outcomes, behaviour, or performance.

It doesn’t matter what the specific trait is; if your top performers all share a particular quality, it will appear to determine their success, even if it’s totally unrelated to the real factors that influence commercial outcomes.

That mistaken belief is then solidified by confirmation bias. Leaders are more susceptible to, and likely unconsciously seek out, evidence that supports their existing belief.⁶ When another good-looking adviser wins a big client, their looks will be assumed to be responsible, even if in reality it was a handful of other important behaviours that swung the deal.

Personal connections and nepotism also play a role here. Nearly one-third (32%) of rookie advisers were referred by a personal contact,⁷ meaning many firms’ talent pipeline is shaped in part by their existing adviser base.

Psychologists have exhaustively documented the fact that people prefer others who look and sound like them; this is known as the “Similar-to-Me” effect.⁸ While advisers undoubtedly make referrals with the belief they’ll help the firm, that assessment is likely shaped by unconscious factors that hardly influence whether the candidate actually has the capabilities firms need to drive organic growth.

2. Measurability bias

Firms often prefer to base decisions on factors they can measure, compare, and provably optimise. This is known as the McNamara fallacy,⁹ where quantitative data is given precedence over qualitative data, even when it is far less relevant or useful.

The problem is it leads them to focus on past performance and proven commercial acumen over the ever ill-defined “potential.” If a firm has two advisers with equal experience, they will prioritise developing the individual who has delivered the best performance in the past.

This might be partly down to defensibility: while investing in potential involves reputational risk, nobody will blame you for assuming past success will continue. But it also leads to a lot of missed opportunities for organic growth.

When past performance is assumed to predict future value, advisers with strong potential but who don’t fit the mould of existing top performers get systematically overlooked.

This is particularly problematic given the rate at which the industry is changing. Most advisers built their book years or even decades ago, when demographics and client expectations were very different. Strong commercial performance in the 2000s hardly indicates that the adviser has the skills required to win clients, referrals, or wallet share in the future.

Equally, strong performance can often be attributed to factors that are not related to commercial skills. Many advisers inherited their books or have high AUM due to their location or client niche. They might have built their book at a firm with strong name-brand recognition, allowing them to essentially attract clients via association, rather than commercial acumen.

Past performance can actually be a negative indicator for future performance. Advisers who have been successful in the past often become inert; they may be less able to adapt to new market realities or change how they approach commercial activities. Plenty shift into defensive mode, focusing almost exclusively on retaining their current book and allowing market growth to steadily boost their income.

3. Desire for glory

While firms generally need to build a strong talent pipeline, their attention is often disproportionately focused on the very top performing advisers. The windfall from hiring a truly exceptional business winner appears more substantial than incremental growth through multiple more “ordinary” advisers.

This is analogous to the historical overemphasis on M&A over organic growth: even if it takes longer to cement a deal, the top-line benefit is just so much larger. But just as M&A is rarely sustainable or reliable enough to deliver consistent growth, trying to replicate the very top performers is likely not the best use of time or resources.

Advisers with reasonable potential are often overlooked or underserved. That “Invisible Middle” can contribute substantial organic growth without ever producing a standout star or launching a storied career. Equally, excessive reliance on a handful of exceptional advisers leaves firms vulnerable. When those stars leave, they take their book and a substantial chunk of your AUM with them.

How data helps firms course-correct and drive organic growth

Many of the biases we’ve discussed seep into decisions because leaders have no alternative. Without an empirical foundation, theories about how and why organic growth occurs inevitably slip into conjecture and theory.

That’s why SBR developed our data-led approach to commercial potential. Using information from working with 10,000 advisers over more than 23 years, we’ve built a system that makes the capabilities that deliver client wins, referrals, wallet share expansion, and retention concrete and repeatable.

It does that by correcting three factors that fuel leaders’ biases:

Measurement: We assess real organic growth, rather than just AUM. When firms make that shift, they stop mistaking market performance or past luck with actual commercial acumen.
Causal factors: We use performance data and our proprietary Commercial Capability Model to identify what truly influences specific organic growth performance. Once a firm knows which capabilities separate its genuine top performers, it can assess which potential hires and which existing advisers truly resemble them, rather than who resembles existing top performers.
Potential: We pair our capability assessments with psychometric evaluations to understand which advisers have the potential to improve specific commercial capabilities and to what extent. This allows firms to compare advisers based on their actual potential, quantified to a clear expected development ROI, rather than using past performance as an indicator. Not only can the potential of the “Invisible Middle” be quantified; we help firms identify how best to develop those advisers to win organic growth already in your front-office.

By correcting those factors, we helped one firm generate more than 650% ROI, based on median AUM figures. We developed advisers against their true capability profile, enabling them to deliver 40% inflow growth over three years, associated with £7.8bn in AUM inflows.

Curious how bias is shaping your organic growth (and how we could help you fix the problem)?

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