Experienced mobile UI/UX designers can sense the constituents that build a great mobile user experience (UX) design. This is largely an experience and instinct-driven approach that paved the way for mobile app developers and designers’ successful and unsuccessful design attempts over the years. The approach is far from full-proof as there are no solid data-driven insights to back the design decisions.
This so-called instinct and experience-driven approach have many flaws. They often have difficulties establishing that certain app features work better and are loved by users over others. The problem comes from a lack of knowledge about user behavior and user perceptions while using any app. To become certain that an app feature is likely to impact the users, they need user data.
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In many ways, the success of UX design and its impact on users can be tested. Carrying out A/B testing is effective in knowing an experience that can be better of the two options. But it has its limitations in pointing toward the UX design that can be best for the said app. The modern user data analytics undertaken by big data technology can prove to be most effective for deciphering the mobile app user experience (UX) design.
Companies particularly emphasize big data analytics for product design. By analyzing a vast pool of user data, companies can better understand the scopes and constraints of UX design than just relying on the so-called expert opinion. If you are trying to understand how to make an app with a superior user experience, we help you know how Big can be utilized for mobile app UX design.
Correlative Roles of Big Data & User Experience (UX)
User Experience (UX) design focuses on delivering the most engaging user experience leading to the improved usability, look and feel of the app product, and enhanced scopes of success.
The greatest advantage of using Big Data for UX design is that it covers all facets of data generated by the users. These days, it is possible to obtain user data corresponding to various aspects ranging from user’s screen interactions, average time spent using a single app feature, most clicked features, etc.
For analyzing and tracking this voluminous and varied data, Big Data technology is used. LinkedIn, the leading social media and job board, has refurbished its old interface with many value additions by taking the help of Big Data insights. By leveraging a vast amount of user data, LinkedIn has perfected its UX design.
Instant Access to Relevant Data
The fast-changing customer requirements and expectations are a reality that prompts crucial design decisions every day. Based on the changing customer needs and expectations, businesses also have new approaches to the strategies and trends. This is why for design and development decisions getting access to user data became important.
This is why companies are utilizing big data to enhance the mobile app design and development process. Thanks to Big Data analytics, the awareness about the consistent change and evolving customer requirements have become easy to grasp.
The ability to get real-time data analysis further enhances the promise of Big Data for superior UX design.
UX Analytics
In regard to the development and design of mobile apps, it is important to keep the customer needs in mind all through the project. Big Data analytics can help achieve insights regarding customer needs. Understanding user behavior is of extreme significance to delivering a better app user experience.
The future of mobile app development empowered by big data ensures improved data flow and developing a mobile app using these data-driven insights. Deciphering user preferences remains a key factor for designing the mobile app. Big data analytics can deal with all kinds of user problems, errors, and issues that users encounter from time to time. On top of all these, thanks to Big Data analytics, app developers also have an improved understanding of app usage, user location, user payment choices, etc.
Personalized User Experience
The raw data doesn’t prove anything, and they are dumb until and unless they are scanned and analyzed to decipher insights. By analyzing huge volumes of user data ensures delivering precise and accurate results for designers and developers to personalize the user experience.
How users behave while using an app and the key design elements and features detested by the users most are crucial data points to personalize user experience. Big Data analytics can help the developers and designers to have a solid grasp of these data-driven insights.
The data on every user helps know the opportunities and scopes for making value additions and adding new features to enhance the user experience. On top of all these, Big Data also allows developers to add new data-centric features to help understand how the app will look.
Conclusion
In a highly competitive business where digital footprints are crucial for achieving growth, it has become extremely important to invest in cutting-edge technologies to stay ahead of the competitors. In the case of mobile apps, Big Data brought the scope of incorporating data-driven analytics for a superior app user experience. Big Data is also paving a new way to adhere to the most important design and development trends for mobile apps.
Huge volumes of data are powerful enough to bring a fresh breath of energy to any business as data is always enriched with actionable insights. But it is equally important to use and analyze data in the most sophisticated manner to get the best data-driven insights. This is one area where Big Data analytics plays a crucial role.
