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Improving customer experience is more than just increasing traffic and boosting sales. UX design is now considered essential in determining how brands interact with clients to drive more business. With more demands for customization, UX has now become intelligence oriented. This is achieved with the use of tools like AI, Adobe and data science.
The major challenge companies face today is the need to collaborate with various functionalities to improve their experience design across all touch points. This requires platforms and tools that are intelligent enough to build creative designs across the enterprise and the infrastructure to enable the design and technical teams to work efficiently to create user-centric experiences.
AI has been ushering in a new era of intelligent experiences. It automates repetitive tasks, providing insights, and thus aiding the decision-making process.
Source: Google Images
AI can be immensely helpful in creating personalized user experiences. Some of the challenges of customized user experience are:
From a design point of view, AI is yet to take the lead. With automation involving repetitive tasks, the design can get closer to much of user expectation.
Platforms like Invision and Adobe XD provide containers for all the ideation that are required to create this personalized user experience. Adobe XD-is a platform, where people can just come together and use to create and design experiences together.
You can build design into every conversation with invision, preview your prototypes, work together on a whiteboard, with provisions to every design comment, without having to leave the collaboration tools that you are using.
Adobe XD has more advanced AI driven responsive tools that can easily adapt designs to multiple screen sizes. It also provides for a more efficient prototyping process with features like auto-animate, that reduces the number of transitions to create less interactions.
The latest additions allow designers to export their prototypes into self-service portals to conduct video-driven user tests that show how users interact with prototypes. Other recent additions allow designers to integrate AI-generated avatars into their projects.
These are just a few examples of how AI-enhanced creativity is reshaping the future of design. However, building intelligent user experiences would also require human skills more into building collaborations.
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UX designer should inevitably know to use different tools to carry out designing through collaborations so as to create a better experience.
UX designing will involve designers, copywriters, creative directors, developers, strategists, animators, and videographers, who take care of prototyping, editing, quality control, and user-testing. They must be able to see through problems across devices and work on them.
It is the organizing of these collaborations that poses a huge challenge that these platforms address, which would save the best part of your time.
Sharing prototypes and reaching a consensus on how the user experience should work will help identify frictions at the earliest, giving room for reworking and avoiding last-minute surprises and corrections with the solutions.
Much of these tools are meant to address the challenges of large scale productivity, design, customization, efficiency, and collaboration. This can help designers concentrate on the basic aspect of designing, letting them concentrate more on creativity without having to pull other departments in the development of innovative solutions.
The goal is to use intelligent assistants to help collaborate better and to come up with more creative and user-centric designs.