Problem Solving: Simple Steps That Actually Work
Got a problem that won't quit? Whether it's choosing a degree, figuring franchise costs, or fixing a tech snag, the same plain steps can get you unstuck. This page shows quick, useful methods you can try right now—no theory, no jargon.
First, name the problem. Sounds basic, but people often grab at symptoms. If your “problem” is low sales, ask: is it pricing, foot traffic, product-market fit, or something else? Write one clear sentence that explains the gap between where you are and where you want to be.
Second, break it down. Big problems hide smaller, solvable parts. For example: thinking an associate degree in IT is "useless" breaks into job relevance, skill gaps, local hiring demand, and cost. Tackle one chunk at a time instead of trying to fix everything at once.
Third, find the root cause. Use simple tests: ask “why” three times, check data, or run a quick experiment. If a submarine can’t get regular TV, the root cause is signal reception underwater—not the crew’s boredom. Solving the real cause saves time and money.
Quick problem-solving checklist
- Define the problem in one sentence. - List possible causes. - Prioritize causes by impact and effort. - Pick one small test you can do in 24–72 hours. - Measure results and decide next steps. Keep notes so you don’t repeat guesses.
Use that checklist for big decisions too. Want to open a Dave and Buster’s? Break costs into land, buildout, equipment, and working capital. Prioritize which cost you can reduce or delay. Run a pilot test with a smaller location or pop-up before you commit millions.
How to practice and get better
Practice with tiny, low-risk problems. Try fixing your morning routine, reducing one monthly expense, or improving a single work process. After each attempt, ask: what worked, what didn’t, and why? Small wins build the habit of testing and learning.
When people ask whether a bank will give an education loan at 0% interest to girls, don’t hunt for a perfect yes/no. Instead, list options: government schemes, scholarships, bank offers, and NGOs. Compare terms and pick the fastest path to your goal. That method beats waiting for a perfect answer.
Finally, get comfortable with iteration. Rarely is the first fix perfect. Try something small, measure, tweak, and repeat. That approach turns uncertainty into progress, whether you’re solving product problems, career choices, or business puzzles. Keep it simple, test fast, and learn every step of the way.
Which one should I choose, AI or IT? Which is a better choice?
AI (Artificial Intelligence) and IT (Information Technology) are two disciplines that are rapidly changing and developing in the world of technology. AI has seen a huge surge in recent years with its ability to automate mundane tasks and provide solutions to complex problems, while IT has been the backbone of the data storage and communication networks that form the backbone of modern life. Both disciplines offer a variety of solutions and opportunities, so it can be difficult to decide which one to pursue. Both AI and IT are important fields in the modern world, so it is important to evaluate the pros and cons of each before making a decision. AI provides a wide range of capabilities for automation and problem solving, while IT provides the infrastructure and security for modern technology systems. Depending on the individual's goals and skills, either can be a good choice.