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Harnessing big data to design better mobile app UX

Experienced mobile UI/UX designers can feel the components that build great mobile user experience (UX) design. This is largely an experience and instinct-driven approach that paved the way for the successful and unsuccessful design efforts of mobile app developers and designers over the years. The approach is far from complete proof, as there are no solid data-driven insights to support the design decisions.

This so-called instinct and experiential approach has many flaws. They often struggle to determine that certain app features work better and are liked by users over others. The problem stems from a lack of knowledge about user behavior and user perceptions while using an app. To make sure that an app feature is likely to affect the users, they need user data.


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There are many ways to test the success of UX design and its impact on users. Conducting A/B testing is effective to know an experience which can be better of the two options. But it has its limitations in pointing out the UX design which can be best for said app. The modern analytics of user data performed by big data technology may prove most effective for deciphering the design of the mobile app (UX) user experience.

Companies place particular emphasis on big data analytics for product design. By analyzing a vast amount of user data, companies can better understand the scope and limitations of UX design than relying solely on so-called expert opinion. If you try to understand how to make an app with superior user experience, we help you know how Big can be used for mobile app UX design.

Correlative roles of big data and user experience (UX)

User Experience (UX) design focuses on delivering the most engaging user experience, leading to improved usability, look and feel of the app product and greater success rates.

The biggest advantage of using Big Data for UX design is that it covers all facets of the user-generated data. Today, it is possible to obtain user data corresponding to various aspects ranging from interactions on the user’s screen, average time spent using a single app feature, most clicked features, etc.

Big Data technology is used to analyze and track this extensive and varied data. LinkedIn, the leading social media and career site, has revamped its old interface with many value additions by leveraging Big Data insights. By leveraging a vast amount of user data, LinkedIn has perfected its UX design.

Instant access to relevant data

Rapidly changing customer requirements and expectations are a reality that leads to critical design decisions every day. Based on the changing needs and expectations of customers, companies also have new approaches to the strategies and trends. This is why accessing user data became important for design and development decisions.

This is why companies are using big data to improve the mobile app design and development process. Thanks to Big Data analytics, awareness about consistent change and evolving customer requirements has become easy to understand.

The ability to get real-time data analytics further reinforces Big Data’s promise for superior UX design.

UX analysis

With regard to mobile app development and design, it is important to consider customer needs throughout the project. Big Data analytics can help to understand customer needs. Understanding user behavior is extremely important for delivering a better app user experience.

The future of mobile app development, powered by big data, will enable improved data flow and mobile app development using these data-driven insights. Deciphering user preferences remains an important factor in mobile app design. Big data analytics can deal with all kinds of user issues, errors and issues that users encounter from time to time. In addition, thanks to Big Data analytics, app developers also have a better understanding of app usage, user location, users payment choices, etc.

Personalized user experience

The raw data proves nothing, and it’s stupid until and unless it’s scanned and analyzed to decipher insights. By analyzing massive amounts of user data, designers and developers can deliver accurate and accurate results to personalize the user experience.

How users behave while using an app and the key design elements and features most hated by the users are crucial data points to personalize the user experience. Big Data analytics can help the developers and designers to properly understand these data-driven insights.

The data about each user helps to understand the possibilities and scopes for making value additions and adding new features to improve the user experience. In addition, Big Data allows developers to add new data-centric features to understand what the app will look like.

Conclusion

In a highly competitive business where digital footprint is critical to achieving growth, it has become extremely important to invest in cutting edge technologies to stay ahead of the competition. 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 the way for meeting key mobile app design and development trends.

Massive amounts of data are powerful enough to bring a breath of fresh air to any business, as data is always enriched with actionable insights. But it’s equally important to use and analyze data in the most advanced way to get the best data-driven insights. This is an area where Big Data analytics plays a vital role.

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