A declining conversion ratio catches attention. An overdue project gets bumped up to the top of the list. Leadership hears about complaints. An often-breaking system becomes the priority for IT. These problems are visible, measurable, and easily placed on the agenda. But hidden beneath these issues may lie the real challenge.
Here, solving problems becomes more than simply identifying them. The visible issue may be nothing more than a symptom and not the underlying cause of the situation. For example, a slow process may be a sign of unclear responsibility. Repeated complaints by customers may indicate unjustifiable expectations rather than failures in service. A technology issue may originate from an outdated process.
Thus, the real question may not be just, “How do we fix this?” but it may be, “Are we working on the right problem?”
Why Visible Problems Get Solved First?
Obvious issues innate sense of urgency among people. Such matters hamper the normal course of business operations, impact the customer base, grab the attention of top management, or have immediate effects. Consequently, it is simpler to rank these issues in the list of priorities compared to problems that arise gradually.
Speed is important, particularly when something needs to be dealt with quickly. The danger comes when urgency takes over diagnosis. A fast solution might improve the problem as seen, but will not change its nature. Thus, there is a loop where the same problem is resolved by different groups in different ways, over and over again.
How To Know If It’s The “Right” Problem?
The right problem is not necessarily the biggest or most visible issue. It refers to the issues whose solutions are significantly taken into account by the firm.
For instance, let’s assume a business has trouble fulfilling orders on time. The apparent decision seems to tie the problem to staffing, equipment, and the pace of work. However, deeper analysis can bring to light issues such as the lack of clear communication between employees, confusing instructions, and wrong final conclusions.
The delay is the most obvious issue. It could be related to how work flows in an organization. Good business problem-solving requires distinguishing the visible symptom from the underlying problem.
A helpful distinction is as follows:
- Symptom - what is happening?
- Cause - what caused it?
- Effect - whom or what does it affect?
- Underlying problem - what issue allows for occurrence of the symptom?
- Outcome - what and how does it need to be changed?
These distinctions help a team avoid a trap of interpreting every visible disruption as an isolated happening.
Why the First Problem Statement May Be Wrong?
The method in which a particular issue is described by a business impacts the solution taken into consideration. If a leader characterized that issue in the following manner: “The employees are failing to utilize the new system,” then the conversation will switch to a process involving training and/or adoption. However, if the question is instead put this way: “Why isn’t the new system compatible with the way the employees work?” then a completely new set of options can be considered.
Thus, problem framing is significant. An effective problem statement explains the problem without secretly implying a specific solution.
The Hidden Cost of Solving Symptoms
Treating a symptom is not inherently a bad thing. Certain types of issues need to be treated right away. Problems only arise when the short-term cure is considered a long-term tactic. For instance, think of a team that keeps adding manual checks every time a problem occurs. The checks would reduce the number of mistakes, but they would also require more work. If the problems persist, the team might continue adding checks instead of investigating the root of the issue.
This creates a pattern: Problem appears → quick solution is introduced → symptoms reduce → underlying condition remains → problem returns in another form.
The cycle consumes attention without addressing the underlying issue.
What Are the Five Questions Before Choosing a Solution?
Before committing resources, leaders can pause and ask:
- What do we actually know about the problem? Separate observable facts from assumptions, interpretations, and reactions.
- What occurs immediately before the problem occurs? Understanding this enables us to spot possible trends since these may not be obvious from the final result.
- Who perceives the problem differently? Clients, employees, managers, technology specialists, and executives may interpret the same problem differently.
- What assumptions do we make about the cause of the problem? In fact, conventional explanations can only be treated as assumptions before the problem is checked.
- What changes if we solve this problem? A solution is valuable when it improves the outcome that actually matters.
Look Beyond the Team That Owns the Problem
Problems rarely stay within one department. It can be due to customer experience, which pertains to the marketing, product, sales, operations, and support departments. Moreover, technological issues can relate to fields of procurement, finance, security, users, and leadership. Productivity issues can be associated more with work processes rather than with individual employees struggling to perform their duties.
This gives importance to perspective. Different teams possess different levels of context. Frontline staff may observe a recurring point of discomfort that is not displayed on an executive dashboard. A tech team may have knowledge of a limitation of a system that another department may view as a failure of a process.
Bringing these perspectives together does not require endless meetings. The important thing is to reach out to those who face the issue in real life prior to coming up with a solution. Input from various departments will also help unearth assumptions that would otherwise remain hidden within one particular function.
When Technology Is Not the Problem
Typically, when operations are disrupted, technology is perceived as the most immediate remedy. The introduction of a new platform, automation tool, or AI solution offers an appealing option since this kind of intervention seems most concrete. However, technology is effective only if it caters to well-defined business needs.
The better sequence is: Define the outcome → understand the problem → examine the process → identify constraints → evaluate possible solutions → choose the appropriate intervention.
Build a Habit of Reframing
Reframing does not mean constantly changing the definition of a problem; rather, it is about testing if the original definition still works.
One may gain a lot of useful insights by describing the same problem from three different approaches.
- Operational approach – which process is not functioning?
- Customer approach – what is not meeting expectations?
- Strategic approach – under which organizational condition does the problem keep going on?
Different answers are useful because they reveal how each team understands the problem. Reframing helps teams test whether the original definition still explains the situation before they commit to a solution.
The Goal Is Not to Find a Hidden Problem Everywhere
Going to extremes with this concept can pose challenges. Not all simple problems come with complex underlying reasons. At times, a task may just be delayed. A straightforward solution is required in the case of a malfunctioning process. Wasting too much time attempting to create complexity can result in yet another danger: analysis without action.
An easy point of decision-making is as follows: if the current solution is implemented, what impact does it have on the desired result? If the answers are not clear enough, one should keep digging more into the initial problem.
From Problem Chasing to Problem Understanding
There are numerous matters that require the attention of businesses today. The key is not how many issues the organization identifies or how fast it provides a solution, but the quality of thinking carried out between identifying a problem and acting upon it.
Problems that can be seen should be solved, but they do not always have to be. Great business problem-solving starts with seeing, then questioning, looking from many angles, and tying the solution to an outcome that truly counts. It increases the possibility of solving the conditions, not endlessly addressing the symptoms.
Before approving the next solution, revisit the problem statement. Ask what is visible, what sits underneath it, who experiences it differently, and what outcome actually needs to change.
Challenge conventional thinking and discover smarter ways to solve business problems with the insights and industry perspectives at the upcoming FLUXX Conference in Phuket.
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