There are few management skills more powerful than the
discipline of clearly articulating the problem you seek to solve before jumping
into action.
It’s hard to pick up a current business publication without
reading about the imperative to change. The world, this line of argument
suggests, is evolving at an ever-faster rate, and organizations that do not
adapt will be left behind. Left silent in these arguments is which
organizations will drive that change and how they will do it. Academic research
suggests that the ability to incorporate new ideas and technologies into
existing ways of doing things plays a big role in separating leaders from the
rest of the pack,1 and studies clearly show that it is easier to manage a
sequence of bite-sized changes than one huge reorganization or change
initiative.2 But, while many organizations strive for continuous change and
learning, few actually achieve those goals on a regular basis.3 Two of the
authors have studied and tried to make change for more than two decades, but it
was a frustrating meeting that opened our eyes to one of the keys to leading
the pack rather than constantly trying to catch up.
In the late 1990s, one of the authors, Don Kieffer, was
ready to launch a big change initiative: implementing the Toyota production
system in one of Harley-Davidson Inc.’s engine plants. He hired a seasoned
consultant, Hajime Oba, to help. On the appointed day, Mr. Oba arrived, took a
tour of the plant, and then returned to Don’s office, where Don started asking
questions: When do we start? What kind of results should I expect? How much is
it going to cost me? But, Mr. Oba wouldn’t answer those questions. Instead he
responded repeatedly with one of his own: “Mr. Kieffer, what problem are you
trying to solve?” Don was perplexed. He was ready to spend money and he had one
of the world’s experts on the Toyota production system in his office, but the
expert (Mr. Oba) wouldn’t tell Don how to get started.
The day did not end well. Don grew exasperated with what
seemed like a word game, and Mr. Oba, tired of not getting an answer to his
question, eventually walked out of Don’s office. But, despite the frustration
on both sides, we later realized that Mr. Oba was trying to teach Don one of
the foundational skills in leading effective change: formulating a clear
problem statement. Since Mr. Oba’s visit, two of the authors have studied and
worked with dozens of organizations and taught over 1,000 executives. We have
helped organizations with everything from managing beds in a cardiac surgery
unit to sequencing the human genome.4Based on this experience, we have come to
believe that problem formulation is the single most underrated skill in all of
management practice.
There are few questions in business more powerful than “What
problem are you trying to solve?” In our experience, leaders who can formulate
clear problem statements get more done with less effort and move more rapidly
than their less-focused counterparts. Clear problem statements can unlock the
energy and innovation that lies within those who do the core work of your
organization.
As valuable as good problem formulation can be, it is rarely
practiced. Psychologists and cognitive scientists have suggested that the brain
is prone to leaping straight from a situation to a solution without pausing to
define the problem clearly. Such “jumping to conclusions” can be effective,
particularly when done by experts facing extreme time pressure, like fighting a
fire or performing emergency surgery. But, when making change, neglecting to
formulate a clear problem statement often prevents innovation and leads to
wasted time and money. In this article, we hope to both improve your problem
formulation skills
How Our Minds Solve Problems
Research done over the last few decades indicates that the
human brain has at least two different methods for tackling problems, and which
method dominates depends on both the individual’s current situation and the
surrounding context. A large and growing collection of research indicates that
it is useful to distinguish between two modes of thinking, which psychologists
and cognitive scientists sometimes call automatic processing and conscious
processing (also sometimes known as system 1 and system 2). These two modes
tackle problems differently and do so at different speeds.
Conscious Processing
Conscious processing represents the part of your brain that
you control. When you are aware that you are thinking about something, you are
using conscious processing. Conscious cognition can be both powerful and
precise. It is the only process in the brain capable of forming a mental
picture of a situation at hand and then playing out different possible
scenarios, even if those scenarios have never happened before. With this
ability, humans can innovate and learn in ways not available to other species.
Despite its power, conscious processing is “expensive” in at least three senses. First, it is much slower than its automatic counterpart. Second, our capacity to do it is quite finite, so a decision to confront one problem means that you don’t have the capacity to tackle another one at the same time. Third, conscious processing burns scarce energy and declines when people are tired, hungry, or distracted. Because of these costs, the human brain system has evolved to “save” conscious processing for when it is really needed and, when possible, relies on the “cheaper” automatic processing mode.
Automatic Processing
Automatic processing works differently from its conscious
counterpart. We don’t have control over it or even feel it happening. Instead,
we are only aware of the results, such as a thought that simply pops into your
head or a physical response like hitting the brake when the car in front of you
stops suddenly. You cannot directly instruct your automatic processing functions
to do something; instead, they constitute a kind of “back office” for your
brain. When a piece of long-sought-after information just pops into your head,
hours or days after it was needed, you are experiencing the workings of your
automatic processing functions.
When we tackle a problem consciously, we proceed logically, trying to construct a consistent path from the problem to the solution. In contrast, the automatic system works based on what is known as association or pattern matching. When confronted with a problem, the automatic processor tries to match that current challenge to a previous situation and then uses that past experience as a guide for how to act. Every time we instinctively react to a stop sign or wait for people to exit an elevator before entering, we rely on automatic processing’s pattern matching to determine our choice of action.
Our “associative machine” can be amazingly adept at identifying subtle patterns in the environment. For example, the automatic processing functions are the only parts of the brain capable of processing information quickly enough to return a serve in tennis or hit a baseball. Psychologist Gary Klein has documented how experienced professionals who work under intense time pressure, like surgeons and firefighters, use their past experience to make split-second decisions. Successful people in these environments rely on deep experience to almost immediately link the current situation to the appropriate action.
However, because it relies on patterns identified from experience, automatic processing can bias us toward the status quo and away from innovative solutions. It should come as little surprise that breakthrough ideas and technologies sometimes come from relative newcomers who weren’t experienced enough to “know better.” Research suggests that innovations often result from combining previously disparate perspectives and experiences.8 Furthermore, the propensity to rely on previous experiences can lead to major industrial accidents like Three Mile Island if a novel situation is misread as an established pattern and therefore receives the wrong intervention.
That said, unconscious processing can also play a critical
and positive role in innovation. As we have all experienced, sometimes when
confronting a hard problem, you need to step away from it for a while and think
about something else. There is some evidence for the existence of such
“incubation” effects. Unconscious mental processes may be better able to
combine divergent ideas to create new innovations. But it also appears that
such innovations can’t happen without the assistance of the conscious
machinery. Prior to the “aha” moment, conscious effort is required to direct
attention to the problem at hand and to immerse oneself in relevant data. After
the flash of insight, conscious attention is again needed to evaluate the
resulting combinations.
The Discipline of Problem Formulation
When the brain’s associative machine is confronted with a
problem, it jumps to a solution based on experience. To complement that fast
thinking with a more deliberate approach, structured problem-solving entails
developing a logical argument that links the observed data to root causes and,
eventually, to a solution. Developing this logical path increases the chance
that you will leverage the strengths of conscious processing and may also
create the conditions for generating and then evaluating an unconscious
breakthrough. Creating an effective logical chain starts with a clear
description of the problem and, in our experience, this is where most efforts
fall short.
A good problem statement has five basic elements:
1.
It references something the organization cares
about and connects that element to a clear and specific goal;
2.
it contains a clear articulation of the gap
between the current state and the goal;
3.
the key variables — the target, the current
state, and the gap — are quantifiable;
4.
it is as neutral as possible concerning possible
diagnoses or solutions; and
5.
it is sufficiently small in scope that you can
tackle it quickly.
Is your problem important? The first rule of structured
problem-solving is to focus its considerable power on issues that really
matter. You should be able to draw a direct path from the problem statement to
your organization’s overall mission and targets. The late MIT Sloan School
professor Jay Forrester, one of the fathers of modern digital computing, once
wrote that “very often the most important problems are but little more
difficult to handle than the unimportant.” If you fall into the trap of
initially focusing your attention on peripheral issues for “practice,” chances
are you will never get around to the work you really need to do.
Mind the gap. Decades of research suggest that people work harder and are more focused when they face clear, easy-to-understand goals. More recently, psychologists have shown that mentally comparing a desired state with the current one, a process known as mental contrasting, is more likely to lead people to change than focusing only on the future or on current challenges. Recent work also suggests that people draw considerable motivation from the feeling of progress, the sense that their efforts are moving them toward the goal in question.A good problem statement accordingly contains a clear articulation of the gap that you are trying to close.
Quantify even if you can’t measure. Being able to measure
the gap between the current state and your target precisely will support an
effective project. However, structured problem-solving can be successfully
applied to settings that do not yield immediate and precise measurements,
because many attributes can be subjectively quantified even if they cannot be
objectively measured. Quantification of an attribute simply means that it has a
clear direction — more of that attribute is better or worse — and that you can
differentiate situations in which that attribute is low or high. For example,
many organizations struggle with so-called “soft” variables like customer
satisfaction and employee trust. Though these can be hard to measure, they can
be quantified; in both cases, we know that more is better. Moreover, once you
start digging into an issue, you often discover ways to measure things that
weren’t obvious at the outset. For example, a recent project by a student in
our executive MBA program tackled an unproductive weekly staff meeting. The
student began his project by creating a simple web-based survey to capture the
staff’s perceptions of the meeting, thus quickly generating quantitative data.
Remain as neutral as possible. A good problem formulation presupposes
as little as practically possible concerning why the problem exists or what
might be the appropriate solution. That said, few problem statements are
perfectly neutral. If you say that your “sales revenue is 22% behind its
target,” that formulation presupposes that problem is important to your
organization. The trick is to formulate statements that are actionable and for
which you can draw a clear path to the organization’s overarching goals.
Is your scope down? Finally, a good problem statement is
“scoped down” to a specific manifestation of the larger issue that you care
about. Our brains like to match new patterns, but we can only do so effectively
when there is a short time delay between taking an action and experiencing the
outcome. Well-structured problem-solving capitalizes on the natural desire for
rapid feedback by breaking big problems into little ones that can be tackled
quickly. You will learn more and make faster progress if you do 12 one-month
projects instead of one 12-month project.
To appropriately scope projects, we often use the
“scope-down tree,” a tool we learned from our colleague John Carrier, who is a
senior lecturer of system dynamics at MIT. The scope-down tree allows the user
to plot a clear path between a big problem and a specific manifestation that
can be tackled quickly.
Narrowing a Problem’s Scope
Good structured problem-solving involves breaking big
problems into smaller ones that can be tackled quickly. In this “scope-down
tree,” developed by John Carrier of MIT, the overall problem of excessive
equipment downtime at a company’s plants is broken down first into two types of
equipment (rotating and nonrotating), and then further into different
subcategories of equipment, ultimately focused on a specific type of pump in
one plant. The benefit of reducing the problem’s scope is that instead of a big
two-year maintenance initiative, a team can do a 60-day project to improve the
performance of the selected pumps and generate quick results and real learning.
Then they can move on to the next type of pump, and hopefully, the second
project will go more quickly. Following that, they move to the third type of
pump, and so on.
Narrowing a Problem’s Scope
Managers we work with often generate great results when they
have the discipline to scope down their projects to an area where they can,
say, make a 30% improvement in 60 days. The short time horizon focuses them on
a set of concrete interventions that they can execute quickly. This kind of
“small wins” strategy has been discussed by a variety of organizational
scholars, but it remains rarely practiced.
Four Common Mistakes
Having taught this material extensively, we have observed
four common failure modes. Avoiding these mistakes is critical to formulating
effective problem statements and focusing your attention on the issues that
really matter to you and your organization.
1.
Failing to Formulate the Problem : The most
common mistake is skipping problem formulation altogether. People often assume
that they all already agree on the problem and should just get busy solving it.
Unfortunately, such clarity and commonality rarely exist.
2.
Problem Statement as Diagnosis or Solution : Another
frequent mistake is formulating a problem statement that presupposes either the
diagnosis or the solution. A problem statement that presumes the diagnosis will
often sound like “The problem is we lack the right IT capabilities,” and one
that presumes a solution will sound like “The problem is that we haven’t spent
the money to upgrade our IT system.” Neither is an effective problem statement
because neither references goals or targets that the organization really cares
about. The overall target is implicit, and the person formulating the statement
has jumped straight to either a diagnosis or a solution. Allowing diagnoses or
proposed solutions to creep into problem statements means that you have skipped
one or more steps in the logical chain and therefore missed an opportunity to
engage in conscious cognitive processing. In our experience, this mistake tends
to reinforce existing disputes and often worsens functional turf wars.
3.
Lack of a Clear Gap : A third common mistake is
failing to articulate a clear gap. These problem statements sound like “We need
to improve our brand” or “Sales have to go up.” The lack of a clear gap means
that people are not engaging in clear mental contrasting and creates two
related problems. First, people don’t know when they have achieved the goal,
making it difficult for them to feel good about their efforts. Second, when
people address poorly formulated problems, they tend to do so with large,
one-size-fits-all solutions that rarely produce the desired results.
4.
The Problem Is Too Big : Many problem statements
are too big. Broadly scoped problem formulations lead to large, costly, and
slow initiatives; problem statements focused on an acute and specific
manifestation lead to quick results, increasing both learning and confidence.
Use John Carrier’s scope-down tree and find a specific manifestation of your
problem that creates the biggest headaches. If you can solve that instance of
the problem, you will be well on your way to changing your organization for the
better.
Formulating good problem statements is a skill anybody can
learn, but it takes practice. If you leverage input from your colleagues to
build your skills, you will get to better formulations more quickly. While it
is often difficult to formulate a clear statement of the challenges you face,
it is much easier to critique other people’s efforts, because you don’t have the
same experiences and are less invested in a particular outcome. When we ask our
students to coach each other, their problem formulations often improve
dramatically in as little as 30 minutes.