When we think about measurement, we usually think about
measuring objects—their length or weight. The concrete nature of this sort of
measurement is easy to understand and predictable: A meter is always a meter.
Talent measurement, in contrast, is not easy to understand, and it’s unpredictable. Measuring talent has its challenges, but it’s one of the keys to organizational learning and employee motivation.
Talent measurement, in contrast, is not easy to understand, and it’s unpredictable. Measuring talent has its challenges, but it’s one of the keys to organizational learning and employee motivation.
When it comes to measuring talent, we look for consistent
and concrete measures, just as we do in the physical world. We hope for honesty
in the mathematical precision offered by measures and metrics. We hope for less wiggle room and more candor.
We hope measurement data provides less theory, better insights, and obvious
decisions.
Comparing physical and talent helps us to see the value and
potential of measurement. The value is high, but if we cling to the metaphor of physical
measurement, we will grow frustrated. We may also miss one of the real strengths of talent measurement.
Talent measurement is different and it is
complicated. Among the complications, it has a special attribute: measurement motivates. To
access the benefits of talent measurement we need to consider how physical and
talent measures differ.
Talent Is Invisible
Talent measures aren’t concrete, like their physical
counterparts. Many of the most important assets of today’s world are
essentially invisible—think of wealth, power, relationships, personality,
or intelligence. Because the aspects of
talent that we care about are invisible, it can be difficult to know what we
are measuring.
It’s not just that talent is invisible. We also need to
remember that measures are just a representation of talent. This adds
complications. We all know that someone’s height in inches isn’t the person.
It’s easy, however, to confuse a measure of potential with the value of a
high-potential employee. The measure of potential is a representation of an
underlying capability, and the measure is accurate only in a probabilistic sense.
Invisibility and representation are two reasons that talent
measures tend to be less precise, and less consistent, than physical measures.
Have two managers rate how well an employee completed a difficult task, and
you’re likely to get two different answers. Ask two skilled carpenters to
measure the length of a cabinet, and you’ll probably get two nearly identical
answers, accurate to within one-sixteenth of an inch.
Despite this, organizations often act as though their
measures are nearly perfect. For example, some management consultants recommend
that employees be ranked annually. Let’s be clear about what ranking actually
means: Employees will be listed in order, from best to worst. To truly rank
employees, there would need to be a distinction between the 10th and
11th best employees. Without a perfect measure, this is impossible.
Since we don’t have measures that are up to this task, we would have to use other
means to rank employees, such as intuition.
Ranking employees by a physical measure sounds easier, but
even this is complicated. Let’s say you’re at a family gathering and you’re
taking a photo of your grandparents, siblings, nieces, nephews, and so forth.
You’d ask people to organize themselves by height—shorter people in front—so
that the camera can capture their faces. We often think about employees this
way: We can just line them up according to some feature, such as performance.
We’ll keep the best, or the tallest, and get rid of the rest.
Of course, it’s not that simple! Even physical measurement
is imperfect. Imagine trying to get 1,000 employees to stand in order, by height.
I can hear the questions already. Does big hair count? Should we take our shoes
off? In the end, we’d probably need to ask ourselves, "what is employee height,
anyway?"
If we take physical measurement to this logical conclusion,
it provides a useful lesson: measurement is more complicated in
practice than in theory. We may think we understand what leadership is. When it
comes to measuring it, we need to get pretty specific in our meaning.
People React to Being Measured
In general, physical measurement has few side effects. If
you measure the length of a cabinet, you don’t affect the cabinet, and the cabinet
isn’t likely to react. Talent, unlike inanimate objects, is affected in
complicated ways by measurement. People react to measures.
In fairness, some physical objects are affected by
measurement. When checking tire pressure, a small amount of air escapes. This
affects the tire pressure. This is a simple example of an observer
effect, which has been well documented in physics. For example, a glass
thermometer absorbs thermal energy when taking a measurement.
Observer effects on physical objects are generally
unsurprising and small. Talent’s reaction to measurement is complicated and can
be large.
The effect can be positive. Measurement can lead to
motivation, increased effort, and more focus.
Feedback and reasonable goals often lead to higher levels of
performance, as we discussed in past blog posts.
Practical experience however, shows that this isn’t always
the case. Unfortunately, measurement can change talent in counterproductive
ways, depending on the context. Measurement can de-motivate and distract. If
measures are linked to very difficult goals, employees sometimes give up,
or—even worse—lose faith in the organization and disengage.
To make things worse, reactions to measurement can also
motivate talent to corrupt or game the measures. Physical measurement never has
this issue. Humans, however, have a major preoccupation with gaming measures.
It’s so common that the famous
methodologist Don Campbell, discussing program evaluation in 1975, described
what has become known as Campbell's Law:
The
more any quantitative social indicator is used for social decision making, the
more subject it will be to corruption pressures and the more apt it will be to
distort and corrupt the social processes it is intended to monitor.
Given these complexities, perhaps talent management should
steal the nickname “dismal science” from economics:
- The underlying dimension you wish to understand is invisible
- Measuring talent is imprecise and probabilistic
- Humans react to measures, sometimes by changing themselves, and sometimes by changing the measure.
So, Do We Stop Measuring Talent?
It’s been said that since we can’t measure talent perfectly, we
should simply give up and acknowledge defeat. For 30 years, some consultants
have advocated getting
rid of performance appraisals altogether. I’m amazed this impractical idea
is still being considered.
If we don’t measure human performance, we lose a powerful
motivational and learning tool. As with many aspects in life, we simply have to
manage the dilemma and tension.
Measurement is flawed and we must use it. We can’t hide our head in the sand and hope
these flaws will go away. The flaws are inherent in measuring, especially something as
complicated as talent. If we step into the real world of human idiosyncrasies,
measurement is a powerful tool that can help us improve organizational
performance, ensure educational excellence, and motivate personal growth.
In the coming blog posts I will further elaborate the myths
of talent measurement and how we can think more clearly for organizational
learning, motivation and growth.
Charley Morrow
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