Developing a product that addresses user needs primarily involves extensive in-depth research. Every UX designer can come up with some solutions that can be amazing on paper but do not work in a realistic environment. To prevent such situations, the best UI UX design agency in India tries to understand how people use these services and products, thus eliminating a certain amount of guesswork from their work. The below section discusses the data-driven process and its importance with some essential suggestions.

What is data-driven design?

One of the most critical aspects of user experience design is that a designer is not the user, and vice-versa. Despite being a relatively straightforward design, there is much more than meets the eye. Usually, design is something professionals do for other people. It is likely to include a vast amount of assumptions that designers make while they are creating a product. Every single belief has the potential to lead them astray, developing solutions that are not very useful to the people they are intended for. Therefore, in the case of product design, data-driven approaches can also have a negative impact.

When there is a need to make a decision, big or small, it is essential to appeal to data so that the businesses do not drift away from addressing the user's needs. It is pretty surprising to learn how often design decisions can be made based on anything other than data bias, personal preference, and hunches. All of these can be excluded entirely from the work of a designer, but they need to be validated first.

Why data is important

Good design is a valuable investment. Creating products from scratch takes a lot of time, effort, and resources. Choosing to bypass research that will allow designers to develop a better product is a gamble, as creating a neat-looking interface is not quite sufficient to address the user preferences. It is probably impossible to create a truly usable product when navigating the data collected from research and analytics.

Data-driven approaches allow the best UI UX agency in Mumbai, like Sudha Solutions, to substantially improve decision-making. It will enable them to have a crystal clear understanding of the impact that the design had, as well as to adjust and optimize that design in the future. Data is always helpful for accumulating insights and acting accordingly.

Data collection

While the benefit of having access to a lot of data is quite evident but poor quality data can be dangerous for the overall design. Different approaches can mess up the process due to poor execution or selection of inappropriate techniques.

Qualitative

Qualitative data is usually expressed in non-statistical form and lacks a clear structure. The qualitative approach does not use complex numbers, and respectively is not commonly expressed in terms of charts and graphs. This data type is usually categorized based on properties, attributes, labels, and other identifiers.

Conclusion

Qualitative data does not generally answer questions and instead focuses on open-ended questions that explore how people feel about certain aspects. It relies more on the collected data showing a customer's behavior and attitude. Such type of data is extremely valuable for generating hypotheses and theories. Collecting data is not always the tricky part but having a data-driven process is probably the most difficult. But, by leveraging qualitative and quantitative data, the best design studios in Mumbai, like Sudha Solutions, will be able to make better decisions and have a significant impact on the quality of user experience for a specific product.

Source - https://www.sudhasolutions.com