You’ve done your user research and identified what seems like a major pain point. Now comes the most critical step: confirming it's a real problem that people actually want solved. This is problem validation. It's the process of separating a good idea from a great business.

Skipping this step is like building a bridge without checking if there’s a river. You might build an amazing, elegant structure, but if no one needs to cross, you've wasted your time and resources. Validation ensures you're building something people will not only use but also be willing to pay for.

There are three main ways to check if the problem you've identified is the right one to solve.

The most straightforward way to validate a problem is to talk to the people who have it. This goes beyond the initial user research you’ve already done. Now, your goal is to confirm and quantify the pain. You’re not pitching a solution yet; you’re digging deeper into the problem itself.

Ask questions that reveal the problem's impact:

• How do you currently handle this issue?
• What's the most frustrating part of that process?
• Have you tried to find a solution for this before? What happened?
• If you could wave a magic wand, what would the ideal situation look like?

Individual feedback is powerful, but it needs to be paired with a broader market view. Market research helps you understand the landscape. Are other companies already trying to solve this problem? If so, that's often a good sign—it validates that the problem exists and the market is big enough to support a solution.

Look at what competitors are doing. Read their customer reviews, especially the negative ones. What are people complaining about? These complaints can highlight gaps in existing solutions, giving you a clear entry point. If there are no competitors, you need to ask why. It could be a brilliant, untapped opportunity, or it could mean there’s no real market for it.

Data analysis provides objective evidence. Instead of relying only on what people say, you look at what they do. This could mean analyzing website traffic, search trends, or support ticket data. For example, are a lot of your existing users searching your help center for a feature that doesn't exist? That’s a strong signal. Are people on forums like Reddit or Quora constantly asking for help with this specific issue? That’s another one.

A problem can be real but not important. The final test is to assess its significance and urgency. A significant problem has a high impact on the user's work or life. An urgent problem is one they need to solve now.

Think about it in terms of a “hair on fire” problem. If your hair is on fire, you aren't going to shop around for the best-priced bucket of water. You'll grab the first one you see. That's an urgent problem. Your product should aim to be that bucket of water.

During your conversations and research, look for signs of urgency:

• Makeshift Solutions: Are people using clunky spreadsheets or a combination of different tools to solve this problem? This shows they are actively trying to fix it.
• Willingness to Pay: Would they pay to make this problem go away? You can even ask directly: “If there was a solution that did X, would that be something you’d be willing to pay for?”
• Frequency: How often does this problem occur? A daily frustration is more likely to be a high-priority fix than something that only happens once a year.

By confirming that the problem is real, significant, and urgent, you align your development efforts with genuine user needs. This foundation of validated learning is what separates products that get launched from products that get loved.

Now, let's test your understanding of how to validate a problem.

With a validated problem in hand, you have a solid foundation. You're no longer guessing; you're building based on evidence.