Weekly Challenge 4: Define user problems

 

Weekly Challenge 4: Define user problems

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A strong problem statement should be human-centered.

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A problem statement starts with the name of the user and a short description of the user’s characteristics. Next, it includes a description of the user’s need, and an explanation of why they have that need.

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Problem statements can help UX designers set benchmarks for success. If the design goal is to boil water, for example, you know you are successful when you notice bubbles and steam. A problem statement establishes this kind of target.

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Problem statements can help UX designers define deliverables. They also address the benchmark for deliverables, so designers know what the solution will produce.

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Problem statements can help UX designers understand constraints, since they explain what keeps users from satisfying their needs.

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A hypothesis statement reflects the designer’s best educated guess on what they think the solution to a design problem might be.

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This is where the five “w” questions can help. When you ask these questions, you get the answers you need to empathize with the user and solve the user’s problem.

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Designers ask why the problem is important. This addresses how the problem affects the overall user experience, and the potential consequences for the user.

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The product offerings may be clear to the designer, but they need to consider the user when building a value proposition. To do that, they need to articulate what the product does and why users should care.

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The product offerings may be clear to the designer, but they need to consider the user when building a value proposition. To do that, they need to articulate what the product does and why users should care.

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The designer needs to explain the value of the product, not simply list the app’s benefits and features.

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A designer should connect features and benefits with the needs of their users. The goal is to identify what’s truly valuable to the user, and not just a cool feature that users didn’t ask for.

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A competitive audit is an overview of a competitor’s strengths and weaknesses. Since there are many other real estate apps available, Team Y should determine how to improve the product to make it distinctive.

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Direct competitors have similar users and end users, and offer similar products, services, or features. For example, if you’re offering a cloud-based storage system, companies that offer a similar product are considered direct competitors.

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Direct competitors have similar users and end users, and offer similar products, services, or features. For example, if you’re offering a cloud-based storage system, companies that offer a similar product are considered direct competitors.



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The first step in turning data observations into insights is to gather all forms of data from all observers of the study.

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After researchers identify the themes in the data, they come up with insights based on each theme.

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When UX designers are synthesizing data, they’re combining ideas to draw conclusions. It evolves their understanding of user problems and how they can further improve the design.

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When UX designers are synthesizing data, they’re combining ideas to draw conclusions. It evolves their understanding of user problems and how they can further improve the design.

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The difference between traditional and field research is that field research focuses on collecting first-hand observations, such as audio, video, and in-person experiences. Traditional research, on the other hand, concentrates on collecting feedback and compiling data.

Test your knowledge on strong insights

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Strong insights answer research questions so people can understand why the insights matter. They should also be easy to understand, answer research questions, increase empathy for the user experience, and inspire direct action.

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Strong insights inspire direct action for a design solution. They should also be easy to understand, answer research questions, and increase empathy for the user experience.

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Strong insights increase empathy for the user experience and the team’s engagement in the product’s success. They should also be easy to understand, answer research questions, and inspire direct action.

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Strong insights are easy to understand. They should also answer research questions, increase empathy for the user experience, and inspire direct action.

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Insights grounded in real data are based on observations from multiple participants.

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This is a helpful insight for  the design team. They can use it during the next iteration of their service to improve their offerings.

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Strong insights need to answer the research questions you listed in your research plan. You want to tie your insight to the research questions to help people understand why the insight matters.

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