The thing that stands out most in this article about online job portals is
that a 5% response rate to her job applications is really dispiriting for the seasoned strategist. She wonders
where the ‘human’ is in HR. This is when she applies for jobs well within her
competency.
The recruitment filters aim to
filter out false positives: the aspirational candidates no good for the role.
They are ruining it for the honest people, but so are the recruiters. False
negatives are as bad: recruiters miss out, and in aggregate, they create an
environment in which good candidates still
have a big risk of being a false negative, which incentivises them to
put less effort into each application.
That means that recruiters have
less information; they have set up a system that is forcing candidates not to
do any filtering for themselves by picking and choosing their best jobs, but
instead trying as many jobs as they can because every one is a lottery and you
have to be in it to win it. Recruiters are encouraging those ‘aspirational’
applications they’re trying so hard to avoid.
Dating websites had a similar
problem. Men have a much higher demand for connections using them, and women
are inundated with hundreds of messages. This means that they cannot read all
messages and any men who wrote careful or thoughtful messages were very likely
to have those messages missed. The incentive is therefore for them to give up;
to be as scattershot as other men and wait until they get a reply before
beginning to make an effort.
A step in the right direction is
the swiping mechanism of Tinder or Bumble. This makes the initial screening as
quick and easy as possible: each side sets up a profile in a standardised
template and only when both are interested is it possible to put more effort
in. Imagine users of one of these dating apps being asked supplementary
questions by many profiles before being allowed to swipe right: it’s a good way
to haemorrhage users and prevent matches. Users will simply start to ignore
such profiles. Some users will fill in such questions, but they could as easily
be game-playing creeps spotting a niche or fools with too much time on their
hands as dedicated, well-balanced partners.
If the filtering of job applicants
can be done from a standardised form, as with dating websites, that would help
everyone. The equivalent of the initial right-swipe might be a check of
qualifications and a minimum number of years of experience. As with dating, filtering
by keywords is a great way to narrow the pool, but also a great way to exclude
good options. Imagine looking for a partner who loves theatre by only accepting
profiles with the word ‘theatre’ in them. A few synonyms might help: ‘plays’, ‘show’,
‘performance’ etc. After all, some people might write ‘I like to catch a show…’
It really needs human judgement
to check, in a second or two, whether it’s right, because the possible phrases
and permutations are too many to predict in a simple computerised search. That
needs a basic profile, even shorter than a CV.
That might mean that recruiters
can’t get around to looking at everyone, just as daters can’t. Yet people find
soulmates through such a mechanism, so companies tempted to argue that this will
lead to disastrous outcomes should think carefully. It might be true that our
hormones get us addicted to a partner and deceive us into believing in the
concept of soulmates. But anyone cynical enough to take that line must
acknowledge that the concept of a soulmate employer is at least as much a
deception.
By not reviewing some candidates,
however, employers must overcome a number of mental blocks. I suspect that at
the moment it’s easy to persuade oneself that the current system of filtering
for in-demand jobs is fair and rigorous, because some sort of criteria are
applied. Leaving out some people is definitely random. But poor criteria with
either false positives or false negatives are also random. It’s better to be
sure about some and open with the rest than random with everyone. How should we
select those to assess more carefully? If no other method seems reasonable,
randomly. Deliberate bias is worse than randomness.
I would welcome being told that
there were so many candidates that a good panel to interview was found before I
was even considered. This would be so much more informative than the usual ‘sorry
but not sorry’ message. When combined with genuine messages (still possibly
automated) telling me about failures I would then truly be able to judge what
roles people were willing to consider me for and apply to more appropriate ones!
Matching is an iterative process
and the key is to get through iterations with as little effort from both sides as possible. Pushing all the
effort onto one side might make the other side think everything is working
efficiently but it creates problematic incentives. If you’re looking for
sensible, intelligent candidates, you probably want people with the wit to
recognise and respond to those incentives, not the chaff who don’t. And that’s
purely from the self-interested point of view before we consider the possible
effects on diversity and privilege of extra challenges that formal education
does not address.
The formal structure of
CV-assessment followed by interview is itself a relic of a time when there were
far fewer candidates. The leap from CV (or even covering letter) to taking time
off work to travel to someone else’s offices is a big one. The SARS-CoV-2
outbreak has pushed alternatives such as telephone interviews. This is also a
welcome advance that we shouldn’t abandon. Gradual iteration that is as
conversation-like as possible is important: if at any point it’s clear that
things shouldn’t continue then no more effort than was needed has been
committed to discovering this.
Employers and daters alike enjoy
being chased and putting no thought or effort into the matching process. This is
a short-term solution only; it encourages stalking, exaggeration and unhinged, irrational
attitudes. These are people who can be taken advantage of, but who aren’t going
to be genuinely exceptional. These are the people the world is picking right
now, but we can change that.
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