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Artificial Intelligence is increasing in popularity, whether in the digital sphere or brick-and-mortar locations. From chatbots to machine learning in healthcare, AI is gaining traction everywhere and has been part of our daily lives.
The design sphere has embraced the advent of AI, in which AI UX design enables designers to drive ideas and solutions quickly. When developing AI products, it is crucial to remember that the users should be on top of every design decision.
This article will share innovative UX design strategies and insights for AI products that improve UX and drive business sales.
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According to statistics, 80% of marketers worldwide claimed that AI improves user experience, 84% of respondents said it aligned web content, and 74% stated it increases Search Engine Results Pages (SERP). Businesses and industry leaders incorporate AI tools to achieve their business goals. Here are some innovative UX design strategies and insights for AI products:
Defining the personality of an AI machine will give it a look or a personality. One example is the chatbot you encounter on a website that acts as a customer service assistant. Designers gave the bot a name and designed it to speak like humans to mimic a person so that a user could understand and engage a human-like personality during her shopping experience. AI robots help improve UX and can quickly assist a customer at any time of the day.
Conduct user research
Your AI product should fit the competitive world and solve user problems. Designing an AI solution is based on user research to validate your concept and assumptions. Learning your user’s behavior, how they behave online, and their needs, problems, and preferences will help you design effective and user-centric AI products that increase your UX.
Design for efficiency and flexibility
Experts suggested that an AI product should deliver multiple options for the users to fulfill their tasks, allowing workers to set their tasks to streamline their projects. It is designed to adapt to the user’s precise or unstated preferences and feedback.
Building AI products with efficiency is crucial to solving users’ problems and delivering what the system promises.
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AI products are built with integrity if the user feels the system is honest and follows the market standard. Here are the two UX design strategies that contribute to integrity:
Transparency, safety, and permission: It ensures the user understands the data collected, how, and for what reason.
The integrity of promises: Clearly state the AI product’s limitations, capabilities, and what is not.
One of the innovative UX designs for AI products is designing it with competence. In this competitive market, businesses that use innovative AI tools in their operations have an edge. UX designers contribute competence to the AI product in some ways:
AI products that are built with charisma or attractiveness that are suitable for their purpose can increase UX. Find below some designer’s strategies that contribute to the AI charm:
Visual appeal: developing an AI product that is aesthetically appealing and organized helps users understand the features and delivers efficiency.
Easy to navigate: Seamless navigation and easy-to-understand elements and menus can help improve user experience. It contributes to the appeal of your application if the user navigates your app without complexity.
Voice suitability: Tone, voice, and traits should be appropriate for users in groups or individually.
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Innovative UX designs for AI products are developed based on user’s needs, behavior, preferences, and feedback. Increasing user experience relies on the AI product’s efficiency, competence, flexibility, simplicity, transparency, security, usefulness, and visual appeal.
If you are curious about reaping the innovative UX design for AI products, the above strategies and insights will set you ahead of the curve.
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