How to Build Better Problem-Solving Skills at Work

August 18, 2026

Artificial intelligence’s most effective uses appear to be around supporting the human user to generate ideas, synthesize information, and solve sophisticated problems. That makes the distinctly human parts of problem-solving—judgment, curiosity, context, and critical thinking—even more valuable.

We can improve our problem-solving skills through targeted practice. Like any other workplace skill, employees build them through feedback-informed practice; managers strengthen them through coaching; and organizations create the conditions for people’s cross-functional problem-solving to flourish. As work becomes more complex, all three are essential.

Why problem-solving is getting harder

Today's employees are solving problems that span teams, functions, and technologies, while navigating competing priorities, constant change, and more information than they can reasonably process. That can challenge even experienced problem solvers.

When people are mentally overloaded, they're more likely to rely on shortcuts, fall back on familiar assumptions, or settle on the first solution that seems good enough. Stress can make this harder by narrowing attention and reducing the mental flexibility complex problems often require.

Problem-solving skills don't disappear under pressure. They simply become harder to use. Recognizing that distinction can help people understand when they need to slow down, question an initial reaction, or approach a challenge differently.

Strong problem-solvers stay curious longer

One of the most useful problem-solving skills is also one of the simplest: resisting the urge to solve a problem before you understand it. When we're under pressure to act, the first plausible explanation can feel like the right one. Curiosity creates enough distance to ask: What else could be going on?

One way employees and teams can challenge their first assumption is the Five Whys, a root cause analysis technique that involves asking "why?" repeatedly. Each answer prompts another question that gets closer to what's actually causing the problem.

Say a team repeatedly misses project deadlines:

• Why? Work isn't getting completed on time.
• Why? Employees are waiting for approvals before they can move forward.
• Why? Too many decisions require manager approval.
• Why? Managers aren't sure which decisions employees can make independently.
• Why? Decision-making roles and responsibilities haven't been clearly defined.

What initially looked like a productivity problem may actually be a decision-making problem.

Despite the name, five isn't a magic number. You may get to the root cause in three questions, or it may take more than five. The point is to stay curious long enough to understand what you're solving before jumping to a solution.

Employees can practice this individually, too. Asking, What am I assuming? What information might I be missing? Why would others see this so differently than I might?, can interrupt automatic thinking and open up other possibilities.

Strong problem-solvers aren't the people who always know the answer immediately or intuitively. They're the ones confident and skilled enough to willingly question their first answer, tolerate some uncertainty, seek information that challenges their thinking, and change course when the evidence points somewhere new.

Better thinking benefits from different perspectives

Curiosity becomes even more powerful when it happens collectively. No one person sees a complex problem from every angle. Employees closest to the work may have context leaders don't typically seek out in their roles. Colleagues from other teams may question assumptions that have become routine in ours. Managers may be more frequently exposed to dependencies or organizational priorities that aren't visible to individual contributors.

The challenge is making those different perspectives useful in collaboration with one another. That takes people who are willing to speak up, ask questions, listen to viewpoints they disagree with, and revise their own ideas, and leaders who validate and encourage thoughtful disagreement as welcome.

How leaders respond in these moments matters. If an idea doesn't work, asking What did we learn? is more likely to generate useful information than immediately focusing on who got it wrong. Leaders who openly reconsider their own assumptions also demonstrate that changing your mind in response to new information is a strength, not a failure.

These everyday interactions can create psychological safety: the confidence that people can ask questions, raise concerns, acknowledge mistakes, and contribute ideas in an environment where they won’t be punished for pursuing innovative and managed risk-taking.

How to strengthen problem-solving skills at work

1. Make room for deeper thinking

Complex problem-solving takes mental energy. Stress, burnout, constant demands, and ever-changing priorities all compete for the same cognitive resources people use to analyze information and make thoughtful decisions. 

Employees can develop habits that protect their attention: setting aside focused thinking time when possible, taking breaks after cognitively demanding work, and recognizing when fatigue is affecting their judgment.

Managers can support those habits by clarifying what priorities matter most, helping teams resolve competing values influencing their decisions, and reducing unnecessary complexity where they can.

This isn't about removing challenging work. Some of the best skill development happens through difficult problems. But challenge and overload aren't the same thing. People need enough capacity to engage thoughtfully with the challenge in front of them.

2. Build the mental skills behind better decisions

Problem-solving requires skills like emotional regulation, self-awareness, and adaptability. Mental health support can help people protect their capacity to think while strengthening these underlying skills.

• Therapy can help employees manage stress, anxiety, or other challenges that may make it harder to concentrate and think flexibly. 
• Mental health coaching can help people build practical skills for navigating uncertainty, managing competing demands, communicating effectively, and approaching challenges with greater confidence.
• Manager coaching can help leaders strengthen their own decision-making while developing skills to guide employees through challenges.

3. Coach the process, not just the answer

Managers often feel pressure to have the answer, especially when an employee is struggling. But immediately jumping in with a solution can unintentionally take away an opportunity for the employee to develop their own problem-solving skills.

Guided inquiry offers a different approach. Say an employee who usually meets their goals has fallen short for the past two quarters. Rather than assuming the problem is performance, a manager might ask, What do you think has been getting in the way? From there:

• What have you tried? 
• What else could be contributing?
• What options have you considered?
• What unanticipated obstacles came up as you considered these different options?
• What would you do differently next time?

The employee remains responsible for thinking through the challenge while the manager provides context, perspective, and direction where it's useful. Over time, that can build something more valuable than solving a single problem: greater confidence and independence in solving the next one.

4. Use AI to expand thinking, not replace it

AI can be a powerful problem-solving tool. It can organize information, surface patterns, generate possibilities, and take routine cognitive work off people's plates.

Employees still have an important job to do: deciding what to ask, evaluating what comes back, recognizing what's missing, accounting for context, and ultimately deciding what to do. Rather than simply asking AI for an answer, employees can use these tools to strengthen and refine their own thinking:

• Generate several possible explanations for a problem
• Challenge an initial assumption
• Identify information that might be missing
• Consider an opposing perspective
• Pressure-test a proposed solution
• Compare the tradeoffs of different approaches

Used this way, AI can expand the thinking process rather than shortcut it. As AI becomes more capable, requesting an AI-generated answer may matter less than knowing how to question, evaluate, and apply a decision based on the AI output. That's where human judgment becomes even more important.

The value of better problem-solving

As AI gets better at providing targeted answers, the ability to input the right questions becomes even more valuable. Curiosity, judgment, adaptability, and critical thinking grow through practice, coaching, and experience. Strengthening those skills can help people make better decisions, navigate ambiguity, and solve increasingly complex problems.