We can't right! Similar way, Designing any space without #RD2S_Algorithm is like driving Ferrari with closed eyes in F1.
Why Should We Care About Research-Driven Design
The first use of the word “data” was in the 1640s. According to a common view, data is collected and becomes information suitable for making decisions once it has been analyzed.
Analyzed data can help expose problems, provide more information about those problems, and evaluate the effectiveness of solutions. This is true whether we are dealing with scientific data or design-related data.
“Collecting and analyzing data is key to creating better designs and user experiences,” writes Design Blog Editor Cameron Chapman.
As such, data-driven design uses data (both qualitative and quantitative) to inform designers throughout the design process. The resulting designs are more engaging and tailored to users’ preferences, goals, and behaviors.
Failing to consider data (or using data in an ineffective way) can have serious implications for the success of a project. If you rely solely on instinct or best practices to make decisions without performing any Research-Driven investigation, you risk wasting money on changes to design choices that are ineffective (or even harmful).
Using Researched Data effectively can lead directly to improved business outcomes. Research by MIT’s Center for Digital Business found that “companies in the top third of their industry in the use of Research-Driven decision making were, on average, 15 percent more productive and 16 percent more profitable than their competitors.”
There are many examples of cases where Research-Driven UX (for Brand Design) techniques have delivered a tangible improvement on ROI. For example, in 2014, airline Virgin America used A/B testing to redesign a new, responsive website. This led to:
• 15% increase in conversion rates
• 20% fewer support calls
• Customers booking nearly twice as fast, across devices
Another interesting example comes from Google Office (HQ), which used usability testing and heuristic evaluation to inform a new office design. Upon the conclusion of the project, their productivity, innovation and staff’s efficiency increased about more than 30% year over year.