Ready Now?

Strengths Based Leadership: Great Leaders, Teams, and why people follow

by Barry Conchie

There seems to be an obsession among many executives (in companies large and small) with the "ready now" concept. When looking at how aspiring candidates match up to current opportunities, at least part of the consideration hinges on this assessment. Is the candidate ready now; will they be ready in a year; or maybe in two to three years? It’s a ridiculous concept, and executives are largely wasting their time pretending that any judgment they reach has precision or credibility. The fact of the matter is that no one is really “ready” in any objective sense for the position they are being considered for. And if we could establish a robust measurement of “readiness”, I would contend that for anyone who is judged to be ready, it is already too late.

Every selection decision we make is a prediction. We believe, when evaluating candidates, that the bets we place on one of them will be stronger than the potential bets we could place on others. The problem is that we aren’t very good at balancing the odds. Selection is a messy process and the variables that distinguish one candidate from another are difficult to compare in any objective way. The fact that so many internal candidates fail to live up to expectations…or just fail…should cause some humility and awareness of fallibility, but we forge on regardless.

There are established research findings that shine a light on our selection errors. Some examples include:

  • We tend to select people like ourselves while proclaiming we do the exact opposite
  • We have no clear, objective means of assessing and balancing all the variables that go into a selection decision
  • It is almost impossible for individuals to overcome their inherent biases, and executives will form positive or negative attitudes towards candidates that reinforce these biases
  • We tend to place a much higher value on work ethic and motivation—candidates who show up with a positive can-do attitude—than on more reflective and deliberative capabilities
  • We assume that successful performers in their current role can achieve superior performance in a higher role
  • We show a higher preference for people we have worked with before, without considering whether a higher-level position is a great match for their capabilities

I could go on...

The fundamental problem is that our primary screening of candidates tends to be based on characteristics that have little predictive power when determining superior performance. The dreaded résumé, outlining experience and job history, qualifications and skills, is the main filter. Should it be one page or two? How much detail? If only we knew. Impressions (and that’s all they are) are formed from reading and comparing this evidence. Executive search firms place huge store in describing these characteristics as though subtle differences really matter. We have this completely the wrong way around.

The work we have done researching executive leadership talent works on the assumption that experience and track record are additive, not determinative. This shouldn’t be a novel idea, but it is. The fact that we can research the talent characteristics more likely to predict superior performance (and compare and contrast candidates against these characteristics) helps correct so many of the failings in selection practice. Put simply, talent is the baseline; everything else is a bonus.

What talents matter for executive-level candidates? It turns out that no single set of characteristics defines executive leadership capability; rather, it is a blend of factors. We all know highly effective leaders, and the one thing they have in common is how different they are from each other. A credible talent assessment needs to reflect that reality. So although we have identified 19 different characteristics that predict high executive performance, no leader will possess all 19. No leader in our database is good at everything, although a few think they are. We need leaders to possess sufficient talent for our performance prediction to hold true.

Here’s how it works.

Imagine we assessed a candidate for a CEO or executive-level role and they scored at or above the top quartile in our database. Meta-analytical studies (of initial research, and concurrent and summative criterion validity testing) predict they will have about an 8 out of 10 chance of being a top-quartile performer. And the measures we use for predicting performance relate to financial, process, efficiency, compliance, revenue, customer and employee engagement metrics; in other words, a balance of extremely important, objectively measurable performance criteria. If these candidates score at the mean of our database, the performance prediction drops significantly to about 4 out of 10 who could become top-quartile performers.

Of course, if you lower your performance demands and want candidates who have the potential to be a little bit better than average, then many more candidates will be qualified. But I have never seen an organization become world-class by bringing slightly-above-average candidates to lead key executive functions. And here’s the problem. It is relatively easy for well motivated and sophisticated candidates to build up an impressive résumé—they check all the key boxes and are often strongly advocated by the search firms who find them. But without an objective, predictive assessment, too many fail.

Two final thoughts to consider:

First, every time we have assessed the executive talent levels of high-potential candidates in companies (and every company has such a list), we find they always conform to a normal curve of distribution. This attests to the inherent bias that afflicts our assessment of future leaders. It also highlights the ineffectiveness of so-called “calibration” efforts, where executives meet together in an attempt to retrospectively find evidence to support the decisions they have already made. As serious as these executives are in trying to get it right, these discussions are a process in advocacy and support rather than clinical evaluation. Second, we find very little difference in executive talent levels between candidates who are sourced by internal talent acquisition functions and those sourced by expensive and prestigious executive search firms.

In one company we built an entire executive leadership team without using an executive search firm at all and this company is achieving class-leading revenue and GM performance. This saved in the region of US$2 million in search fees.

We need to shift focus and place weight on the assessment of talent characteristics that have been shown to have predictive power.

This information should be the most important consideration, and all of the information on a résumé—skills, experience, motivation, knowledge, track record—is additive. This additional information increases our confidence that a candidate will be highly successful, but it doesn’t predict it.

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