Designing an optimum user experience can typically be broken down into 5 steps: Empathizing, Defining, Ideating, Prototyping, and Testing. When attempting to define the typical user experience for a product or service, a high-quality data analytics program will become your new best friend. Using industry-standard data visualization tools such as Tableau, Microsoft Power BI, or Adobe Analytics, UX researchers can make game-changing discoveries on a company’s target audience, user sentiments, grouping data, survey data, and more.
To help you make the most of these state-of-the-art data visualization tools, UXAX has assembled a guide to our top 4 tips for leveraging data to create an impactful user experience.
Many tech companies nowadays focus on creating user-centered products. By combining best practices for data analytics and UX design, companies can successfully create valuable online experiences for their customers.
But when do we begin to implement data analytics into our design life cycle?
Design components can be broken down into 4 steps:
Whenever you begin working on data-driven UX, you should ask yourself:
Let’s examine each step in detail.
What is a user persona? In short, user personas are fictional representations of your dream customer. Creating these personas can help you understand your target users’ needs, experiences, behaviors, and goals.
In order to create an accurate persona, you will need to perform the following:
Using data analytics tools, you can gather information on a user such as their:
With this information, you can make connections between a person’s age and spending habits or average screen time and occupation.
By performing this research and creating a user persona for various customers, you can create an accurate representation of your target audience’s needs and its primary motivations and goals. You can also help various designers and stakeholders stay on the same page when it comes to who your audience members are and to inform your future business decisions.
UX designers often rely on a logical task model to help them build a successful user experience. Task models can be defined as “descriptions of various tasks within a workflow.” In order to start defining these models, researchers must document relevant business and user information in a comprehensive format.
For instance, if we want to find trends on users who spend more than 4 hours on the phone, we can research information on factors such as:
Once we gather this information, we can begin using data analytics tools to observe trend lines and employ bubble plots to show instances of segregation.
No matter how innovative your idea is, a bad UX design can jeopardize your project. That’s why you need to always support your final decisions with some solid numbers. Working out these different relations for your data often works best when redesigning your user experience.
To start, you can exam past factors that succeeded and those that failed. These findings should be supported by data clustering or segmentation. You can also divide your data into positives and negatives. By now, you should understand what has worked and what hasn’t in the past.
Let’s take a look at this situation:
Company A is facing a problem. Whenever users arrive to their payment page, they drop out mid-transaction. To fix this problem, a UX researcher must identify what is causing this drop out rate before redesigning the page to address it. Finding the average length of time it takes for a user to drop out after reaching the payment page can help researchers determine what is causing the customer to leave.
Heuristic evaluation involves finding the usability problems in a UI design to improve them during an iterative design process. A small set of evaluators usually examines the UI/UX and determine its compliance compared with recognized usability principles.
To complete a heuristic evaluation, remember to complete both qualitative and quantitative data search:
Are you ready to learn more about using data analytics to create an unforgettable customer experience? Contact the team at UXAX today for more information.