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Summary.
Cognitive Bias
Outsmart Your Own Biases How to broaden your thinking and make better decisions by Jack B.
Soll, Katherine L. Milkman, and John W. Payne
From the Magazine (May 2015)
Artwork: Millo, 2014, B.ART-Arte in Barriera, Turin, Italy
When making decisions, we all rely too heavily on intuition and use flawed reasoning
sometimes. But it’s possible to fight these pernicious sources of bias by learning to spot them
and using the techniques presented in this article, gleaned from the latest research....
FURTHER READING
The Five Traps of High-Stakes Decision Making
Magazine Article by Michael C. Mankins
Bet on process rather than luck or inspiration.
TEST YOURSELF
Are You Being Tricked by Intuition?
Quiz by John Beshears, Shane Frederick, and Francesca Gino
Answer three questions to see what your “default” mode is for judgments and decisions.
FURTHER READING
Before You Make That Big Decision…
Magazine Article by Daniel Kahneman, Dan Lovallo, and Olivier Sibony
Unearth and neutralize problems in your teams’ thinking.
THIS ARTICLE ALSO APPEARS IN:
Suppose you’re evaluating a job candidate to lead a new office in a
different country. On paper this is by far the most qualified person
you’ve seen. Her responses to your interview questions are flawless. She
has impeccable social skills. Still, something doesn’t feel right. You can’t
put your finger on what—you just have a sense. How do you decide
whether to hire her?
You might trust your intuition, which has guided you well in the past,
and send her on her way. That’s what most executives say they’d do
when we pose this scenario in our classes on managerial decision
making. The problem is, unless you occasionally go against your gut,
you haven’t put your intuition to the test. You can’t really know it’s
helping you make good choices if you’ve never seen what happens when
you ignore it.
It can be dangerous to rely too
heavily on what experts call System
1 thinking—automatic judgments
that stem from associations stored
in memory—instead of logically
working through the information
that’s available. No doubt, System 1
is critical to survival. It’s what
makes you swerve to avoid a car accident. But as the psychologist Daniel
Kahneman has shown, it’s also a common source of bias that can result
in poor decision making, because our intuitions frequently lead us
astray. Other sources of bias involve flawed System 2 thinking—
essentially, deliberate reasoning gone awry. Cognitive limitations or
laziness, for example, might cause people to focus intently on the wrong
things or fail to seek out relevant information.
We are all susceptible to such biases, especially when we’re fatigued,
stressed, or multitasking. Just think of a CEO who’s negotiating a merger
while also under pressure from lawyers to decide on a plant closing and
from colleagues to manage layoffs. In situations like this, we’re far from
decision-ready—we’re mentally, emotionally, and physically spent. We
cope by relying even more heavily on intuitive, System 1 judgments and
less on careful reasoning. Decision making becomes faster and simpler,
but quality often suffers.
Most of us tend to be overconfident in our estimates. It’s important to allow for uncertainty.
One solution is to delegate and to fight bias at the organizational level,
using choice architecture to modify the environment in which decisions
are made. (See “Leaders as Decision Architects,” in this issue.) Much of
the time, though, delegation isn’t appropriate, and it’s all on you, the
manager, to decide. When that’s the case, you can outsmart your own
biases. You start by understanding where they’re coming from:
excessive reliance on intuition, defective reasoning, or both. In this
article, we describe some of the most stubborn biases out there: tunnel
vision about future scenarios, about objectives, and about options. But
awareness alone isn’t enough, as Kahneman, reflecting on his own
experiences, has pointed out. So we also provide strategies for
overcoming biases, gleaned from the latest research on the psychology
of judgment and decision making.
First, though, let’s return to that candidate you’re considering. Perhaps
your misgivings aren’t really about her but about bigger issues you
haven’t yet articulated. What if the business environment in the new
region isn’t as promising as forecast? What if employees have problems
collaborating across borders or coordinating with the main office?
Answers to such questions will shape decisions to scale back or manage
continued growth, depending on how the future unfolds. So you should
think through contingencies now, when deciding whom to hire.
But asking those bigger, tougher questions does not come naturally.
We’re cognitive misers—we don’t like to spend our mental energy
entertaining uncertainties. It’s easier to seek closure, so we do. This
hems in our thinking, leading us to focus on one possible future (in this
case, an office that performs as projected), one objective (hiring someone
who can manage it under those circumstances), and one option in
isolation (the candidate in front of us). When this narrow thinking
weaves a compelling story, System 1 kicks in: Intuition tells us,
prematurely, that we’re ready to decide, and we venture forth with great,
unfounded confidence. To “debias” our decisions, it’s essential to
broaden our perspective on all three fronts.
Thinking About the Future
Nearly everyone thinks too
narrowly about possible outcomes.
Some people make one best guess
and stop there (“If we build this
factory, we will sell 100,000 more
cars a year”). Others at least try to
hedge their bets (“There is an 80%
chance we will sell between 90,000 and 110,000 more cars”).
Unfortunately, most hedging is woefully inadequate. When researchers
asked hundreds of chief financial officers from a variety of industries to
forecast yearly returns for the S&P 500 over a nine-year horizon, their
80% ranges were right only one-third of the time. That’s a terribly low
rate of accuracy for a group of executives with presumably vast
knowledge of the U.S. economy. Projections are even further off the
mark when people assess their own plans, partly because their desire to
succeed skews their interpretation of the data. (As former Goldman
Sachs CFO David Viniar once put it, “The lesson you always learn is that
your definition of extreme is not extreme enough.”)
Because most of us tend to be highly overconfident in our estimates, it’s
important to “nudge” ourselves to allow for risk and uncertainty. The
following methods are especially useful.
Make three estimates.
What will be the price of crude oil in January 2017? How many new
homes will be built in the United States next year? How many memory
chips will your customers order next month? Such forecasts shape
decisions about whether to enter a new market, how many people to
hire, and how many units to produce. To improve your accuracy, work
up at least three estimates—low, medium, and high—instead of just
stating a range. People give wider ranges when they think about their
low and high estimates separately, and coming up with three numbers
prompts you to do that.
Your low and high guesses should be unlikely but still within the realm
of possibility. For example, on the low end, you might say, “There’s a
10% chance that we’ll sell fewer than 10,000 memory chips next
month.” And on the high end, you might foresee a 10% chance that sales
will exceed 50,000. With this approach, you’re less likely to get
blindsided by events at either extreme—and you can plan for them.
(How will you ramp up production if demand is much higher than
anticipated? If it’s lower, how will you deal with excess inventory and
keep the cash flowing?) Chances are, your middle estimate will bring
you closer to reality than a two-number range would.
Think twice.
A related exercise is to make two forecasts and take the average. For
instance, participants in one study made their best guesses about dates
in history, such as the year the cotton gin was invented. Then, asked to
assume that their first answer was wrong, they guessed again. Although
one guess was generally no closer than the other, people could harness
the “wisdom of the inner crowd” by averaging their guesses; this
strategy was more accurate than relying on either estimate alone.
Research also shows that when people think more than once about a
problem, they often come at it with a different perspective, adding
valuable information. So tap your own inner crowd and allow time for
reconsideration: Project an outcome, take a break (sleep on it if you can),
and then come back and project another. Don’t refer to your previous
estimate—you’ll only anchor yourself and limit your ability to achieve
new insights. If you can’t avoid thinking about your previous estimate,
then assume it was wrong and consider reasons that support a different
guess.
Use premortems.
In a postmortem, the task is
typically to understand the cause of
a past failure. In a premortem, you
imagine a future failure and then
explain the cause. This technique,
also called prospective hindsight,
helps you identify potential
problems that ordinary foresight won’t bring to mind. If you’re a
manager at an international retailer, you might say: “Let’s assume it’s
2025, and our Chinese outlets have lost money every year since 2015.
Why has that happened?”
Thinking in this way has several benefits. First, it tempers optimism,
encouraging a more realistic assessment of risk. Second, it helps you
prepare backup plans and exit strategies. Third, it can highlight factors
that will influence success or failure, which may increase your ability to
control the results.
Perhaps Home Depot would have benefited from a premortem before
deciding to enter China. By some accounts, the company was forced to
close up shop there because it learned too late that China isn’t a do-it-
yourself market. Apparently, given how cheap labor is, middle-class
Chinese consumers prefer to contract out their repairs. Imagining low
demand in advance might have led to additional market research
(asking Chinese consumers how they solve their home-repair problems)
and a shift from do-it-yourself products to services.
Take an outside view.
Now let’s say you’re in charge of a new-product development team.
You’ve carefully devised a six-month plan—about which you are very
confident—for initial design, consumer testing, and prototyping. And
you’ve carefully worked out what you’ll need to manage the team
optimally and why you expect to succeed. This is what Dan Lovallo and
Daniel Kahneman call taking an “inside view” of the project, which
typically results in excessive optimism. You need to complement this
perspective with an outside view—one that considers what’s happened
with similar ventures and what advice you’d give someone else if you
weren’t involved in the endeavor. Analysis might show, for instance,
that only 30% of new products in your industry have turned a profit
within five years. Would you advise a colleague or a friend to accept a
70% chance of failure? If not, don’t proceed unless you’ve got evidence
that your chances of success are substantially better than everyone
else’s.
An outside view also prevents the “planning fallacy”—spinning a
narrative of total success and managing for that, even though your odds
of failure are actually pretty high. If you take a cold, hard look at the
costs and the time required to develop new products in your market, you
might see that they far outstrip your optimistic forecast, which in turn
might lead you to change or scrap your plan.
Thinking About Objectives
It’s important to have an expansive mindset about your objectives, too.
This will help you focus when it’s time to pick your most suitable
options. Most people unwittingly limit themselves by allowing only a
subset of worthy goals to guide them, simply because they’re unaware of
the full range of possibilities.
That’s a trap the senior management team at Seagate Technology sought
to avoid in the early 1990s, when the company was the world’s largest
manufacturer of disk drives. After acquiring a number of firms, Seagate
approached the decision analyst Ralph Keeney for help in figuring out
how to integrate them into a single organization. Keeney conducted
individual interviews with 12 of Seagate’s top executives, including the
CEO, to elicit the firm’s goals. By synthesizing their responses, he
identified eight general objectives (such as creating the best software
organization and providing value to customers) and 39 specific ones
(such as developing better product standards and reducing customer
costs). Tellingly, each executive named, on average, only about a third of
the specific objectives, and only one person cited more than half. But
with all the objectives mapped out, senior managers had a more
comprehensive view and a shared framework for deciding which
opportunities to pursue. If they hadn’t systematically reflected on their
goals, some of those prospects might have gone undetected.
Early in the decision-making process, you want to generate many
objectives. Later you can sort out which ones matter most. Seagate, for
example, placed a high priority on improving products because that
would lead to more satisfied customers, more sales, and ultimately
greater profits. Of course, there are other paths to greater profits, such as
developing a leaner, more efficient workforce. Articulating,
documenting, and organizing your goals helps you see those paths
clearly so that you can choose the one that makes the most sense in light
of probable outcomes.
Take these steps to ensure that you’re reaching high—and far—enough
with your objectives.
Seek advice.
Round out your perspective by looking to others for ideas. In one study,
researchers asked MBA students to list all their objectives for an
internship. Most mentioned seven or eight things, such as “improve my
attractiveness for full-time job offers” and “develop my leadership
skills.” Then they were shown a master list of everyone’s objectives and
asked which ones they considered personally relevant. Their own lists
doubled in size as a result—and when participants ranked their goals
afterward, those generated by others scored as high as those they had
come up with themselves.
Outline objectives on your own before seeking advice so that you don’t
get “anchored” by what others say. And don’t anchor your advisers by
leading with what you already believe (“I think our new CFO needs to
have experience with acquisitions—what do you think?”). If you are
making a decision jointly with others, have people list their goals
independently and then combine the lists, as Keeney did at Seagate.
Cycle through your objectives.
Drawing on his consulting work and lab experiments, Keeney has
found that looking at objectives one by one rather than all at once helps
people come up with more alternatives. Seeking a solution that checks
off every single box is too difficult—it paralyzes the decision maker.
So, when considering your goals for,
say, an off-site retreat, tackle one at
a time. If you want people to
exchange lessons from the past
year, develop certain leadership
skills, and deepen their
understanding of strategic
priorities, thinking about these
aims separately can help you
achieve them more effectively. You might envision multiple sessions or
even different events, from having expert facilitators lead brainstorming
sessions to attending a leadership seminar at a top business school.
Next, move on to combinations of objectives. To develop leadership
skills and entertain accompanying family members, you might consider
an Outward Bound–type experience. Even if you don’t initially like an
idea, write it down—it may spark additional ideas that satisfy even more
objectives.
Thinking About Options
Although you need a critical mass of options to make sound decisions,
you also need to find strong contenders—at least two but ideally three to
five. Of course, it’s easy to give in to the tug of System 1 thinking and
generate a false choice to rationalize your intuitively favorite option
(like a parent who asks an energetic toddler, “Would you like one nap or
two today?”). But then you’re just duping yourself. A decision can be no
better than the best option under consideration. Even System 2 thinking
is often too narrow. Analyzing the pros and cons of several options won’t
do you any good if you’ve failed to identify the best ones.
Unfortunately, people rarely consider more than one at a time.
Managers tend to frame decisions as yes-or-no questions instead of
generating alternatives. They might ask, for instance, “Should we
expand our retail furniture business into Brazil?” without questioning
whether expansion is even a good idea and whether Brazil is the best
place to go.
Yes-no framing is just one way we narrow our options. Others include
focusing on one type of solution to a problem (what psychologists call
functional fixedness) and being constrained by our assumptions about
what works and what doesn’t. All these are signs of cognitive rigidity,
which gets amplified when we feel threatened by time pressure,
negative emotions, exhaustion, and other stressors. We devote mental
energy to figuring out how to avoid a loss rather than developing new
possibilities to explore.
Use joint evaluation.
The problem with evaluating options in isolation is that you can’t ensure
the best outcomes. Take this scenario from a well-known study: A
company is looking for a software engineer to write programs in a new
computer language. There are two applicants, recent graduates of the
same esteemed university. One has written 70 programs in the new
language and has a 3.0 (out of 5.0) grade point average. The other has
written 10 programs and has a 4.9 GPA. Who gets the higher offer?
The answer will probably depend on whether you look at both
candidates side by side or just one. In the study, most people who
considered the two programmers at the same time—in joint evaluation
mode—wanted to pay more money to the more prolific recruit, despite
his lower GPA. However, when other groups of people were asked about
only one programmer each, proposed salaries were higher for the one
with the better GPA. It is hard to know whether 70 programs is a lot or a
little when you have no point of comparison. In separate evaluation
mode, people pay attention to what they can easily evaluate—in this
case, academic success—and ignore what they can’t. They make a
decision without considering all the relevant facts.
A proven way to snap into joint evaluation mode is to consider what
you’ll be missing if you make a certain choice. That forces you to search
for other possibilities. In a study at Yale, 75% of respondents said yes
when asked, “Would you buy a copy of an entertaining movie for
$14.99?” But only 55% said yes when explicitly told they could either buy
the movie or keep the money for other purchases. That simple shift to
joint evaluation highlights what economists call the opportunity cost—
what you give up when you pursue something else.
Try the “vanishing options” test.
Once people have a solid option, they usually want to move on, so they
fail to explore alternatives that may be superior. To address this
problem, the decision experts Chip Heath and Dan Heath recommend a
mental trick: Assume you can’t choose any of the options you’re
weighing and ask, “What else could I do?” This question will trigger an
exploration of alternatives. You could use it to open up your thinking
about expanding your furniture business to Brazil: “What if we couldn’t
invest in South America? What else could we do with our resources?”
That might prompt you to consider investing in another region instead,
making improvements in your current location, or giving the online
store a major upgrade. If more than one idea looked promising, you
might split the difference: for instance, test the waters in Brazil by
leasing stores instead of building them, and use the surplus for
improvements at home.
Fighting Motivated Bias
All these cognitive biases—narrow thinking about the future, about
objectives, and about options—are said to be “motivated” when driven
by an intense psychological need, such as a strong emotional
attachment or investment. Motivated biases are especially difficult to
overcome. You know this if you’ve ever poured countless hours and
resources into developing an idea, only to discover months later that
someone has beaten you to it. You should move on, but your desire to
avoid a loss is so great that it distorts your perception of benefits and
risks. And so you feel an overwhelming urge to forge ahead—to prove
that your idea is somehow bigger or better.
Our misguided faith in our own judgment makes matters worse. We’re
overconfident for two reasons: We give the information we do have too
much weight (see the sidebar “How to Prevent Misweighting”). And
because we don’t know what we can’t see, we have trouble imagining
other ways of framing the problem or working toward a solution.
But we can preempt some motivated biases, such as the tendency to
doggedly pursue a course of action we desperately want to take, by using
a “trip wire” to redirect ourselves to a more logical path. That’s what
many expedition guides do when leading clients up Mount Everest:
They announce a deadline in advance. If the group fails to reach the
summit by then, it must head back to camp—and depending on weather
conditions, it may have to give up on the expedition entirely. From a
rational perspective, the months of training and preparation amount to
sunk costs and should be disregarded. When removed from the
situation, nearly everyone would agree that ignoring the turnaround
time would put lives at stake and be too risky. However, loss aversion is
a powerful psychological force. Without a trip wire, many climbers do
push ahead, unwilling to give up their dream of conquering the
mountain. Their tendency to act on emotion is even stronger because
System 2 thinking is incapacitated by low oxygen levels at high
altitudes. As they climb higher, they become less decision-ready—and
in greater need of a trip wire.
In business, trip wires can make people less vulnerable to “present bias”
—the tendency to focus on immediate preferences and ignore long-term
aims and consequences. For instance, if you publicly say when you’ll
seek the coaching that your boss wants you to get (and that you’ve been
putting off even though you know it’s good for you), you’ll be more apt
to follow through. Make your trip wire precise (name a date) so that
you’ll find it harder to disregard later, and share it with people who will
hold you accountable.
Cognitive rigidity gets amplified by time pressure, negative emotions, exhaustion, and other stressors.
Another important use of trip wires is in competitive bidding situations,
where the time and effort already invested in a negotiation may feel like
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a loss if no deal is reached. Executives often try to avoid that loss by
escalating their commitment, overpaying by millions or even billions of
dollars. The thing is, preferences often change over the course of a
negotiation (for example, new information that comes to light may
justify paying a higher price). So in this sort of situation, consider setting
a decision point—a kind of trip wire that’s less binding because it triggers
thinking instead of a certain action. If the deal price escalates beyond
your trigger value, take a break and reassess your objectives and options.
Decision points provide greater flexibility than “hard” trip wires, but
because they allow for multiple courses of action, they also increase
your risk of making short-term, emotion-based decisions.
Although narrow thinking can plague us at any time, we’re especially
susceptible to it when faced with one-off decisions, because we can’t
learn from experience. So tactics that broaden our perspective on
possible futures, objectives, and options are particularly valuable in
these situations. Some tools, such as checklists and algorithms, can
improve decision readiness by reducing the burden on our memory or
attention; others, such as trip wires, ensure our focus on a critical event
when it happens.
As a rule of thumb, it’s good to anticipate three possible futures,
establish three key objectives, and generate three viable options for each
decision scenario. We can always do more, of course, but this general
approach will keep us from feeling overwhelmed by endless possibilities
—which can be every bit as debilitating as seeing too few.
Even the smartest people exhibit biases in their judgments and choices.
It’s foolhardy to think we can overcome them through sheer will. But we
can anticipate and outsmart them by nudging ourselves in the right
direction when it’s time to make a call.
A version of this article appeared in the May 2015 issue (pp.64–71) of Harvard Business Review.
Read more on Cognitive bias or
related topics Decision making
and problem solving and
Psychology
Jack B. Soll is an associate professor of management at Duke University’s Fuqua School of Business. He is a coauthor of “A User’s Guide to Debiasing,” a chapter in The Wiley Blackwell Handbook of Judgment and Decision Making, forthcoming in 2015.
Katherine L. Milkman is the James G. Campbell Jr. Assistant Professor of Operations and Information Management at the University of Pennsylvania’s Wharton School. She is a coauthor of “A User’s Guide to Debiasing,” a chapter in The Wiley Blackwell Handbook of Judgment and Decision Making, forthcoming in 2015.
John W. Payne is the Joseph J. Ruvane Jr. Professor of Business Administration at Fuqua. He is a coauthor of “A User’s Guide to Debiasing,” a chapter in The Wiley Blackwell Handbook of Judgment and Decision Making, forthcoming in 2015.
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