One of the most common mistakes in UX design is jumping straight to a solution without having correctly defined the problem.
Often, design and development teams build features and improvements without validating whether they actually address a user need. This not only wastes resources, but can also produce products that are hard to use and don't solve real problems.
To avoid this, it's essential to start from a well-defined problem statement and turn it into a solution hypothesis before making design decisions. This process makes it possible to create more effective digital products, aligned with user needs and backed by data.
Today we'll explore how to define a problem statement in UX, how to turn it into a solution hypothesis, and how to validate the effectiveness of that hypothesis with real tests.
How to define a problem statement
Before designing any solution, it's crucial to fully understand the problem users are facing. A good problem statement should describe the user's need clearly, specifically, and based on data.
What is a UX problem statement?
It's a structured description of an unmet user need. It helps design and development teams understand what is failing, who it affects, and why it's important to solve it.
Example:
"Users with low vision struggle to read text in the banking app in bright light conditions because there is no high-contrast mode."
A well-formulated problem statement avoids assumptions and is based on data obtained through user research.
The six-question formula for defining a problem
To properly structure a problem statement, it's useful to answer six key questions:
| Question | Example in UX |
|---|---|
| Who is experiencing the problem? | Users with visual impairments. |
| What problem do they face? | The banking app doesn't offer a high-contrast mode. |
| When does the problem occur? | When checking their balance on mobile under bright light. |
| Where does the problem occur? | Outdoors or on public transport. |
| Why is it important to solve? | Because users can't access critical financial information. |
| How could the problem be solved? | By implementing a high-contrast option in the app. |
Final example:
"Users with low vision need a way to read the text in the banking app in bright light conditions because the current design doesn't offer a high-contrast mode, which makes it difficult to use."
A clear problem statement gives the team an aligned view of what the user needs before proposing a solution.
How to turn the problem into a solution hypothesis
Defining the problem is the first step, but to find the best solution, you need to formulate a UX hypothesis — that is, a well-founded assumption about how the identified problem can be addressed.
What is a UX hypothesis statement?
A UX hypothesis is a statement that connects a possible solution with the detected problem, based on research data. It's not an opinion or a baseless assumption, but a statement that can be tested and measured.
Example:
"If users with low vision can enable a high-contrast mode in the banking app, then they will be able to read the text without difficulty in bright light conditions."
Two common formats for writing a UX hypothesis
There are several ways to structure a solution hypothesis, but two of the most widely used are:
1. The "If… then" format
"If [we implement this solution], then [this positive outcome will happen for the user]."
Example:
"If users with low vision can enable a high-contrast mode in the banking app, then they will be able to read the text without difficulty in bright light conditions."
This format is useful because it directly connects the solution with the expected benefit.
2. The "We believe that" format
"We believe that [this solution] will improve [this metric] because [data-based reason]."
Example:
"We believe that adding a high-contrast option to the banking app will improve the experience for users with low vision and reduce complaints about readability."
This approach is ideal when working on hypotheses that need to be validated through user testing.
Practical example: From hypothesis to solution
To understand how to apply these concepts in a real case, let's walk through the following example step by step:
1. Identify the problem
"Users with low vision struggle to read the text in the banking app outdoors."
2. Write a hypothesis based on the problem
"If the app allows enabling a high-contrast mode, then users will be able to use it more easily outdoors."
3. Design a solution based on the hypothesis
A new option is implemented in the accessibility settings that allows enabling high-contrast mode.
4. Test the solution with real users
✔ Tests are conducted with low-vision users to assess whether the new feature improves readability.
✔ Data is gathered on the high-contrast mode's activation rate.
✔ It's analyzed whether readability complaints have decreased after implementation.
If the results are positive, the hypothesis is validated and the solution is rolled out globally. If the results are negative, the solution is adjusted and tested again.
This approach avoids the common mistake of designing based on assumptions, ensuring that UX improvements truly respond to real needs.
The importance of correctly defining problems in UX
The success of a digital product doesn't depend solely on its features, but on how well it solves users' problems.
✔ A well-formulated problem statement helps clearly define users' real needs.
✔ A structured UX hypothesis makes it possible to develop solutions based on data rather than assumptions.
✔ User testing ensures that the designed solutions truly improve the experience.
Before designing any product or feature, UX teams should invest time in understanding the problem in depth. Only then can effective, user-centered digital experiences be created.
