Tips for Finding Simple Solutions to Complex Problems

How I Simplify Complex Problems as a Program Manager at Amazon Complex problems aren’t about complexity—they’re about clarity. Early in my career, I would create massive spreadsheets and endless documents to map out every aspect of a problem. Instead of creating clarity, I created confusion. Then a senior leader showed me that simplifying a problem is about isolating the core issue, not analyzing every detail. Here’s how I simplify complex problems: 1️⃣ Start with the One-Question Test I try to frame every complex problem as a single question—like, “How might we reduce onboarding time without hiring more trainers?” This practice narrows the focus and prevents analysis paralysis. In one project, this approach cut the number of required decision points by half. 2️⃣ The Rule of Three for Priorities I limit every project to three core priorities—no more. Anything outside those three gets moved to a “later” list. In a recent product launch, this practice helped us avoid scope creep and stay on schedule. 3️⃣ Visual Models for Complex Dependencies I use simple flowcharts or RACI diagrams to visualize complex dependencies rather than long documents. Seeing the problem helps the team understand it faster and act on it more decisively. Simplicity isn’t about ignoring complexity—it’s about clarifying it. If your team is overwhelmed by complex problems, try focusing less on the details and more on clarifying the core issue. How do you simplify complex problems? #ProblemSolving #Leadership #Clarity #Amazon

Have you ever spent endless hours on a project just to end up realising that a more straightforward method would have been more effective? This common mistake, referred to as over-engineering, can cause needless complexity and inefficiency when developing new products. Understanding Over-engineering > Over-engineering happens when a solution gets more difficult than it needs to be, usually by adding features or functionalities that do not directly meet the needs of customers. > This can lead to higher costs, longer development cycles, and less user-friendly products. Real-World Example: The Juicero The Juicero, a high-tech juicing machine, was released in 2016. It cost $700 and was designed to squeeze proprietary juice packets with considerable force. Later on, though, it was found that the costly machine was not essential because the same juice bags could be squeezed by hand. The company was eventually shut down as a result of the public outcry following this disclosure. My Own Story: The Overly Complex Website I was in a team early in my career that was assigned with creating a company website. We included the newest interactive elements and design trends in an effort to wow. Feedback received after the launch, however, indicated that visitors found the website overwhelming and challenging to use. In our pursuit of innovation, we had failed to realise the website's main purpose, which is to provide easily comprehensible information. I learnt the importance of simplicity and user-centred design from this experience. Useful Tips to Prevent Over-Engineering 1. Pay attention to the essential needs: Focus on key features that meet user needs and clearly explain the issue you're trying to solve. Don't include features that aren't directly useful. 2. Adopt Incremental Development: Begin with an MVP that satisfies the fundamental specifications. By using this method, you may get user input and decide on new features with knowledge. 3. Put Simplicity First: Use the KISS philosophy, which stands for "Keep It Simple, Stupid." Simpler designs are frequently easier to use and more efficient. 4. Verify Assumptions: Talk to users to learn about their wants and needs. This guarantees that the things you create will actually be useful to them. 5. Promote Open Communication: Create an environment where team members are at ease sharing thoughts and possible difficulties. Over-engineering tendencies can be recognised and avoided with the support of this collaborative environment. Have any of your initiatives involved over-engineering? How did you respond to it? Post your thoughts and experiences in the comments section below!

𝗧𝗵𝗲 𝗺𝗼𝘀𝘁 𝗶𝗺𝗽𝗮𝗰𝘁𝗳𝘂𝗹 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 is often the one you can build 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄 with what you already have. You don’t always need Python, Power BI, or advanced ML models to impact the business. 𝗔 𝗳𝗲𝘄 𝘆𝗲𝗮𝗿𝘀 𝗮𝗴𝗼, I joined a team that managed its entire supply chain planning in a giant Excel sheet. Updating it took them four full days every month. It was always a stressful, error-prone, and fragile process. A challenge was that we couldn’t bring in any new tools—no SQL, Python, or Power BI—𝗷ust Excel and VBA. 𝗦𝗼, 𝗜 𝗵𝗮𝗱 𝘁𝗼 𝗳𝗼𝗰𝘂𝘀 𝗼𝗻 𝘄𝗵𝗮𝘁 𝗿𝗲𝗮𝗹𝗹𝘆 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: 1. Understanding what the planners actually needed 2. Restructuring the spreadsheet to make it more robust 3. Writing simple VBA scripts to automate repetitive steps 4. Improving data validation for more reliable results     As a result, we reduced the 𝗳𝗼𝘂𝗿-𝗱𝗮𝘆 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝘁𝗼 𝘂𝗻𝗱𝗲𝗿 𝗮𝗻 𝗵𝗼𝘂𝗿, with fewer errors and better traceability. So, you don’t need the fanciest tools to create impact! You just need to understand the problem and find smart, efficient solutions with the tools you have. What’s your favorite low-tech, high-impact data win? ---------------- ♻️ 𝗦𝗵𝗮𝗿𝗲 if you believe simple solutions can create a massive impact. ➕ 𝗙𝗼𝗹𝗹𝗼𝘄 for more daily insights on how to grow your career in the data field. #dataanalytics #simplicity #problemsolving #careergrowth

We solve the wrong problems – and That is the Real Problem at Work   Many executives spend a large amount of their time firefighting. Often, they are trying to solve the right problem. The classic case is that of Kodak, which once dominated the photographic industry worldwide. It had pioneered digital technologies well before their competitors, yet the leadership wanted to stick to the legacy of inexpensive camera with expensive consumables (film and paper) for high margins. Kodak’s initial reluctance to embrace and commercialize its own digital inventions caused a rapid erosion of its market share. It launched competitive digital cameras late - in the 2000s. They tried to perfect their digital technology while losing money on the cameras sold. The real problem wasn't that they needed better digital cameras—it was that the business model had shifted from selling cameras to selling services and software. What is the lesson we can take? Before diving into any solution, invest some time asking "What problem am I really solving?" It is useful to have separate discussions on defining the problem first, and having identified it, then working on finding solutions. Ensure you are looking at the root cause and not the symptoms of the problem. Write down multiple versions of the problem statement. Brainstorm and iterate. Version one might be "Our team misses deadlines." Version two becomes "Our team receives unclear project requirements." Version three reveals "Our team lacks a standardized way to prioritize competing requests." This simple exercise stops you from building elaborate solutions for surface-level symptoms. It prevents you from becoming the person who automates a broken process instead of fixing it; or optimizes something that shouldn't exist. Pick your biggest work challenge. Check whether you have defined problem statement correctly. You'll find yourself solving the root cause instead of chasing endless symptoms.   Picking the right problem leads to simpler solutions. Would love to hear your experience where you had to redefine your problem statement. 

What if solving a complex problem in your project didn’t mean doing more, but seeing smarter? When Dutch e-bike company VanMoof started shipping their bikes to the USA, many arrived damaged. They tried stronger packaging, clearer labels, better logistics.... Nothing worked. Then came one simple idea: They printed an image of a flat-screen TV on the box. That small shift changed everything. Handlers treated the boxes with more care. Damage dropped by 80%. No new materials. No new budget. Just a new perception. It’s a brilliant reminder that innovation isn’t always about technology or scale; sometimes it’s about psychology, perspective and small smart changes. The best project managers don’t always add complexity. They find the small, human insight that can can influence the entire system. 💬 When was the last time you solved a problem not by adding more, but by thinking different (a bit at least)?

Remember those group projects in school where one classmate would immediately start complicating everything, turning a simple assignment into a veritable Rube Goldberg machine? Well, unfortunately, that tendency often follows us into the workplace. Too many professionals seem to think that the more complex their solutions appear, the more “impressive” they'll seem. But as we all know from experience, complexity is the enemy of progress. Simple solutions are not only easier to implement, but also more scalable and effective. Yet in many organizations, promotions, and accolades still go to those who create intricate, Byzantine strategies. We need to put a stop to this madness and start acknowledging the true power of simplicity. Simple solutions are typically easier to implement and scale than complex solutions. However, in many organizations, promotions and recognition tend to prioritize complex solutions over simpler approaches. We should aim to change this mindset and start acknowledging the power of simplicity. Complex solutions are not always better - in fact, they can become a trap. The key is to focus on solving one problem at a time with a simple, straightforward approach. Begin by clearly defining the specific problem you want to address. Avoid trying to solve multiple issues simultaneously, as that often leads to unnecessarily complex solutions. Research the problem thoroughly to understand its context and requirements. Then, see if you can develop a simple solution that directly addresses the core need. Simple solutions are not just easier for you to implement, but also more accessible and understandable for everyone involved. Of course, there may be cases where a more complex solution is truly necessary. But before going that route, make a concerted effort to find the simplest approach that still solves the problem effectively. Embrace simplicity wherever possible — it's a powerful asset, not a weakness. How can you ensure your solutions stay as simple as possible? Some strategies include: - Laser-focusing on one problem at a time - Thoroughly researching the problem to identify the core requirements - Brainstorming simple, straightforward solution ideas before evaluating more complex options - Continuously challenging yourself to find the most streamlined approach Don't accept complexity just because it's rewarded. Push back against the assumption that complex solutions are inherently better. Showcase the value of simplicity in your work. It can be a competitive advantage that benefits both you and your organization. The next time you're tackling a problem at work, resist the urge to overcomplicate things. Take the time to really understand the core issue, then pursue the simplest, most straightforward solution possible. Demonstrate the power of simplicity, and you may just uncover an advantage that propels your career forward. Don't get caught in the complexity trap — embrace the remarkable benefits of simplicity instead.

[Complicated vs Complex Problems] Sometimes we try to tackle problems head-on without clearly examining their different parts. Seen as a whole, they can seem overwhelming, unmanageable, or impossible to solve. But complicated problems almost always have solutions, even if it takes multiple steps to reach them. Complex problems, on the other hand, aren’t consistently replicable. There’s an unknown aspect about them that makes them harder to solve. Building a brand-new car model is a complicated problem. There are always numerous mechanical issues to resolve. But like all complicated problems, building a brand-new car becomes easier to manage when it’s broken down into smaller parts. In this case, creating specifications for new vehicles helps companies to automate the manufacturing process. What about complex problems? Like the stock market, they are fast-moving, fleeting, and unpredictable. Stocks can move for countless reasons, from an event in the news cycle to the length of the quarterly earnings report. But there are always opportunities to turn parts of a complex challenge into simpler solutions. Why is it important to identify the type of problem we are dealing with?  1) It helps us to manage the pace of change. When we see a space that’s rapidly evolving – AI is a great example – we can break down its component parts faster than ever. 2) It allows us to identify approaches we’ve used to address other problems to solve new ones. 3) It helps us to break down problems into smaller ones that may be easier to solve. When creating solutions, I start by building a framework around the challenges early in the process. I aim to create predictability around all the moving parts. I start out by seeking familiar solutions. When it comes to AI, for example, I think of bringing it to automation, just like building a car. We may not have full instructions yet, but we still know quite a lot — a car has windows, air conditioning, radio, etc. Complex problems are unpredictable. Yet, by grounding ourselves in simple, known facts, we can reduce their complexity, transforming them into multiple complicated problems instead. Here are some tips I’ve found helpful when trying to find a solution.  1)   Ask yourself if you've seen a similar type of problem before? How did you solve it? 2)   Ask yourself what factors are wholly in your (or your company’s) control, and which aspects are solvable? 3)   Make sure to eat an elephant only one bite at a time!  Break complex problems down into smaller ones: By solving the simple ones, you’ll eventually get to a bigger picture. In the case of AI example, even if we assume we’ll always get new models (ie complex), we can still create frameworks for the adoption lifecycle, regional needs, enablement, and more that can be broken down into repeatable solutions.  

Most leaders think they're solving problems: They're not. They're solving symptoms. And wondering why nothing sticks. Here's what actually works: ✅ The 5 Whys Method digs past the surface. New hires quit after two weeks. Why? They felt overwhelmed. Why? No one helped them settle in. Why? Colleagues didn't know they needed to. Why? There was no onboarding plan. Root cause found. Stop at the first why, and you'll fix nothing. ✅ The Cynefin Framework matches your approach to the problem type. Clear problems? Use your usual process. Complicated problems? Get expert advice. Complex problems? Test and learn. Chaotic problems? Stop the bleeding first. Most leaders use one approach for everything. That's why simple problems become disasters. ✅ First Principles Thinking strips away assumptions. Define the problem clearly. Break it into basics. Question your "rules." Rebuild from scratch. Test and iterate. ✅ Design Thinking puts people first. Empathize with who's affected. Define what's actually worth solving. Ideate beyond what's been done. Prototype small and fast. Test, gather feedback, refine. Stop guessing. Start learning. The pattern is obvious. Leaders who solve surface problems stay busy. Leaders who find root causes create change. Most teams are drowning in quick fixes. What they need is deeper thinking. P.S. Want exclusive change management insights delivered to your inbox? 📥 Subscribe to my newsletter at news.sarajunio.com

Jane Chen faced a problem most would consider impossible: premature babies dying because life-saving equipment was out of reach. Chen took a different path that changed everything: She reframed the challenge from an access problem to a design problem. Instead of asking "How do we get hospitals expensive equipment?" she asked "What if we rethink what the equipment needs to be?" That shift changed everything. Her team at Embrace abandoned traditional incubator designs completely. No electricity requirements. No complex machinery. No dependence on hospital infrastructure. They created a portable infant warmer that could function anywhere - in homes, clinics, rural areas without power. The design matched the actual conditions where babies needed help, not the ideal conditions of Western hospitals. Here's what most leaders miss when they face impossible constraints: Adding more resources rarely solves the problem. Getting ruthlessly clear on what actually matters does. Chen succeeded because she identified the real constraint. It wasn't money. It wasn't technology. It was the assumption that solutions had to look like what already existed. When you get clear on the right constraint, every decision becomes easier. Your team stops debating and starts building. Resources align. Progress accelerates. This is how breakthrough solutions happen. Not through more analysis or bigger budgets. Through the discipline of asking the right question. The best leaders don't solve complex problems by adding complexity. They solve them by finding clarity that cuts through the noise. Want to develop the clarity muscle that turns impossible problems into breakthrough solutions? Listen to the Lead In 30 podcast where I break down practical frameworks like this every week: https://lnkd.in/d_-Knwhy