Why Big Data will be at the Heart of Digital Customer Interaction and Experience Design Engineering

 

The impact of big data on UX and UI design is evident in the way organizations are analyzing petabytes of data to understand consumers, their requirements, and avenues to serve their customers better. Businesses are augmenting experience design engineering with insights from big data analytics for improved customer interaction.

Customer service is the most influential brand differentiator in today’s competitive environment. As a result, decisions are increasingly based on reliable research, data, and information. The ubiquitous need to personalize all customer experiences through UI innovation has made it a crucial player in the big data revolution and enhanced customer interaction. Along with UI(user interface), UX(user experience) is the bridge between big data analytics and the end-user.

Big Data for Intuitive UI and UX

The race to harness big data analytics has reached a turning point where experience design engineering and operations increasingly pivot on data from diverse sources. Digitally collected pre-existing and new data inspire design at all stages. Design teams can now gather data from a variety of sources including social media, online parts libraries, forums, properties databases, and directly from networked devices(IoT) and use it to articulate designs that serve the needs of the customers in the best possible way.              

Impact of Big Data on UX and UI Design

In a survey conducted by Urban Emu, 88% of online consumers said they would not return to a site after a bad experience, and 79% of online shoppers admitted they’d be less likely to buy from a site again if they experienced a dissatisfying visit.

UX developers are committed to user-centricity and they use data science to get a clear picture of what customers do online. Big data helps UX developers find previously hidden patterns and data access that have led user experiences to being more personal and engaging.

With big data as ammunition, UX designers are well-placed to create more robust solutions for users. What users are doing today indicates what their needs and requirements will be tomorrow. Once future requirements are known, UX designers are in a better position to strategically design and provide the right content at the right time. The resulting UX will be hyper-customized for the users. According to a recent Forrester research, intentional and strategic user experience has the potential to raise conversion rates by as much as 400%. The report further highlighted that every $1 invested in UX results in a return of $100 (ROI = 9,900%).

Guide to Big Data Analytics in UX and UI Design

An effective UX design leads to impactful digital customer interaction. Big data, which helps draw an accurate UX analysis, is at the heart of experience design engineering. UX analysis reveals problem areas that can be addressed in future design updates. The success of these updates can be measured by comparing changes in user data and running subsequent UX analyses.

Here’s a high-level guide to successfully implement big data analytics in UI and UX design.

  • Ask the Right Questions: The first step is to understand and define the problem statements. Businesses should find out what they are looking for and what they aim to achieve in the long run.
  • Research and Analyze: Holistically analyze the data collected based on the key questions identified. The analysis should consider factors beyond the latest figures as well, such as user profiles, their behavior, and patterns from previous usability studies.
  • Develop a Possible Solution: Based on the analysis and patterns uncovered, divide the users into niche categories. Then create the most appropriate user flow catering to each category of users. It is important to consider minute details to reach the best possible solution.
  • Run User Experiments: Create not one but several design prototypes based on big data insights. Do a soft launch of possible design solutions to see user responses. In an agile DevOps framework this achievable and gives you a clear winner in design.
  • Analyze the Findings: Analyzing the data yet again helps fine-tune the design flows further. The ultimate goal of UX analysis is to discover hidden opportunities that will make measurable improvements to the product. This includes analysis of test results as well.
  • Implement: After analyzing and reanalyzing the data, the final implementation of the design becomes a smooth ride because you already have an idea of how well it will perform.

 

How is Big Data Responsible for Advancement of Mobile Apps

In a survey by Urban Emu, 52% of users said a bad mobile experience made them less likely to engage with a company. Toptal research added that 90% of users have stopped using an app due to poor performance.

Irrespective of their size, operation, market, and target audience, firms must realize that the application development industry is growing manifold due to the increasing number of smartphone users. Apps are now not just developed for gaming or entertainment purposes, but startups, well-established enterprises, and freelancers are banking heavily on user-friendly apps to run their operations. Be it smart nudges, in-app notifications, or user on-boarding and reward points, all of these app-specific strategies can be made more effective if driven by big data insights. Dashboards inside certain apps take in big data and turn it into data visualizations for smoother customer interaction. This kind of experience design engineering presents big data in such a way that it is easier for end-users to retain information. It ensures that the big data is refined down in the form of graphs and charts and visualized in the right manner. Big data along with the right tools makes all of this possible in a matter of clicks.

Big data services such as Predictive Analytics allow companies to predict the long-term use and success of their mobile app. This helps the firms to take the necessary measures to increase product popularity and its reach.

As we continue to see a greater emphasis on UI, UX, and experience design engineering across industries, tapping into big data that is collected from users from diverse backgrounds will be a given. With user-oriented mobile apps, firms can create a stronger brand with loyal customers and increase their revenue in the long run.

Get in touch with our experts to see how you can transform your UI and UX design. With Big Data, the possibilities are endless.

The move to big data analytics is no longer a choice but is an imperative tool to make your business profitable. Talk to our experts to begin your Big data journey today.

 

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