Data Science Is Useful In Boosting UX Design
A French writer and poet Antonie de Saint-Exupery once quoted, “ A designer knows he has achieved perfection not when there is nothing left to add, but when there is nothing left to take away.” The scenario of web designing has completely transformed, and there is no doubt about the fact that the designers are thinkers and creators.
A visually appealing content and layout of a website is the only parameter that keeps the traffic responsive, in fact, Adobe states that 38% of people will stop engaging with a website if it’s content and layout us dreary. A similar percentage of website visitors will bounce if the image takes ages to load.
The development of UX design has changed web design to a great deal, and this change will go with leaps and bounds in the foreseeable future.
Data science for UX design has some admirable advantages. The booming BigData is already available to us which makes it easier to collect information regarding the clients’ likes and dislikes according to which the designers can implement their techniques to build a beautiful and functional website. Below are some of the factors that may lead to the improvement of UX Design via Data science.
Factors Explaining How Data Science Is Useful In Boosting UX Design
The Layout
The right placement of every item on a page enhances the visual standards of a website. Not only it makes the page visually appealing, but also has a significant impact on the conversion rates and eventually on the ROI.
The traditional practices for creating the best layout includes designing several variants and test them in the field by showing them to selected user groups and retaining the best-performing ones. This was called A/B testing that was known to boost conversion rates, but it was more of a trial and error approach.
One more way to gather knowledge from data for layout purposes is to use the heat map analysis. The heat map analysis is based on tracking the eye or the mouse, they show what gets the user’s attention and holds it. With this analysis, the developer can get to know the preferred colors, fonts, or items such as buttons and banners which acts as honest feedback from the visitor.
The Content
The role of data science in UX design is exemplary, but the content remains the backbone for boosting traffic and conversion rates. The structure of a website should include a search box that helps visitors find what they are looking for. The search box grants them the ease of access and saves a lot of time.
The web developer along with the team can make necessary changes to provide more valuable content by analyzing the relationship between what people were looking for.
Customer Segmentation
The first and foremost priority of a website should be to make visitors feel unique, important, and special. By doing the right homework, the website can show adaptive messages, images, or even call to action that will force the users to stay on your page. This approach was earlier used by companies to connect better with their clients by filtering out unnecessary info and also triggering an emotional connection through well-chosen visuals.
This technique also helps in retargeting campaigns through e-mail or social media. It’s like once a company has defined its target segments, the same logic can be applied on multiple channels to attract customers. For example, if a particular image has helped your page garner more views, you can use the same for different social media platforms or in the newsletter.
Making The Most Of Google Analytics
The success of a website UX largely lies in engaging users and eventually meeting the business goals. You can make the most of Google Analytics by,
- Optimizing bounce rates
- Improves your average time on page metrics
- Obtain insight into demographics
- Get to the bottom of device usage
Acquisition And Traffic Analysis
It is relatively easy to understand which applied strategies are worth it if you learn about your web traffic and the actions users take when they scroll through your website.
Pay attention to the entry and exit pages and evaluate the ROI from each acquisition channel. Some tools help analyze the traffic of your site which are SEMrush, Moz, Ahrefs, Similarweb, etc. Apart from analyzing, these tools also help in a deeper insight into your rankings and also give some ideas to increase organic traffic.
What The Designers And Developers Should Look Into
The use of data science in the daily task is what the developers and designers should look forward to. The analysis of data is a must and to use tools that incorporate results is crucial. Some user-friendly options like Google Analytics, Tableau, Avocode, etc helps in analyze traffic and the next generation of web developers is expected to be a mix of both coders and data scientists.
Suggested: How Beneficial Are Micro-interactions In Improving App Design
Wrapping up:
Data transformed into information can enhance web development to a great extent. The primary process however remains to solve the client’s problems.
The data science team also help designers ensure they are on the money during the phases of their work so that there is a visible UX design improvement by data science.
