If you’re a business owner whose business has a digital presence and when it comes to AI, only the overused name ChatGPT comes to mind, then you’re missing out on many useful resources.
For those who worry about Artificial Intelligence taking their job, Allan Kay rightly said
“Some people worry that artificial intelligence will make us feel inferior, but then, anybody in his right mind should have an inferiority complex every time he looks at a flower.”
With AI, designers can do what was never possible, take inspiration from it, automate repetitive tasks, and whatnot. It’s like having a helping hand right by your side, as long as you know how to use that hand, and that’s where we chime in. This blog post will enlighten you on how AI can be used while creating the UX design of your dreams.
We at Yellow Slice have been following a four-stage process for nearly two decades, which we call STEP (Soak, Think, Execute, and Proof) for designing UX design. The four stages are further divided into a seven-step process that we swear by, as it has delivered fantastic results in the past with brands that can vouch for us.
Cigdem Atmar is a senior UX designer at Yellow Slice. After working with multiple top-notch brands and incorporating AI into those projects, she provided her opinion, which was rather helpful and enlightening.
“Through more experience with AI platforms and industry training, we realised that AI is not a competitor but a collaborator. The real risk lies in not learning how to work effectively with AI. Designers who fail to adapt may find themselves lagging.
A significant difference emerged between those using AI to create impressive designs and those producing generic, simplistic results. We soon realised the critical factor: how the prompts were written. Now, our focus has shifted to mastering prompt writing.”
7 Cutting-Edge AI Innovations to Revolutionize User Experiences
Below, we have mentioned seven innovative ways AI can help designers level up their UX design game.
1. Personalising Every Interaction
Personalisation of UX design according to the user is the only way to win; it’s the ultimate game changer. AI helps analyse an individual’s preferences, consumption patterns, and behaviour to offer an experience that’s relevant to that particular person.
When users feel seen and heard, they feel valued and understood, leading to increased product engagement. Machine learning is a new-age technology that analyses customer data and helps create adaptive interfaces that meet user needs when combined with AI,
To achieve higher sales revenue goals, you need to cater to a wide audience with varying needs, and AI tools can help you do that.
Pendo AI: This AI tools help you customise the user journey through in-app personalisation and easier feedback analysis, enabling faster user insights through machine learning algorithms.
Algolia: In a few minutes, you can index your content with their API clients or partner integrations, fine-tune your rankings, and launch your business with their UI components.
It creates a dynamic and responsive flow by adapting search results and real-time content displays based on individual user interactions.
This platform allows businesses to grow customer satisfaction and sales. When customers feel understood, they click and come back to the platform.
Dynamic Yield: With Dynamic Yield’s Experience OS, you can algorithmically match content, products, and offers to each customer’s preferences and anticipate future behaviour using AI across any digital channel, fostering loyalty and driving revenue.
Real-World Examples:
Netflix and Spotify use user behaviour to make the perfect recommendation. Imagine yourself browsing Netflix, and every click, scroll, and pause becomes a note in your data symphony. They use predictive analytics fuelled by a symphony of user behaviour data.
Spotify captures data like content consumption, ratings and reviews, search history, the device you use, and account information like demographics such as age, location, and language that can be used for broader personalisation.
2. Perform Predictive Analytics for Anticipating User Needs
AI algorithms don’t stop at only responding to current traffic conditions but also analyse historical data to predict future traffic patterns. Predicting what a user wants and needs is crucial to design for an audience. AI helps with predictive analytics, which helps anticipate user behaviour, as user satisfaction is paramount.
AI harnesses vast amounts of data generated by app usage that are impossible to gather manually. Then, AI suggests what users will prefer and proactively tailors the app experience accordingly.
Predictive analytics can anticipate future actions and requirements with high accuracy.
How AI Brings Predictive Analytics to Life:
Anticipating Navigation Paths
By learning from past congestion patterns, navigation apps can anticipate potential bottlenecks and offer pre-emptive route suggestions, further enhancing the accuracy of travel predictions.
Google Maps predicts traffic patterns for the near future by analysing historical road traffic patterns.
Autofill Suggestions
AI-powered autofill suggestions enhance the user experience by predicting and completing text inputs on digital platforms. This technology leverages machine learning and natural language processing to anticipate user intentions, streamline data entry, and reduce errors.
Some applications of AI-powered Autofill are web browsers like Microsoft Edge and Google Chrome, which utilise AI to suggest completions for form fields, including names, addresses, and payment information.
This feature simplifies online transactions and form submissions and makes it less tiring and boring for users to fill out forms because c’mon, who wants to do those in the middle of a digital?
Note: AI-powered autofill offers significant advantages; however, on the flip side, it’s essential to address privacy and security concerns. Users should ensure that applications handling sensitive information implement robust security measures so that their personal data is not at risk.
Real World Example:
On iPhones, there’s this feature: if the user goes to another app while using one app via notifications, a toggle will appear in the top left corner of the screen, allowing the user to go to the app that he/she was using initially. This is how the iPhone anticipates navigation paths. If the user uses one app, he/she will want to switch to it again.
Amazon is an e-commerce app (not that it needs an introduction) with a “frequently bought together” feature that uses predictive analytics to recommend products based on past purchases, browsing history, and demographic information.
3. Rise of Conversational Interfaces and AI Chatbots
An app or website with conversational elements is exciting and helpful. It can gauge users’ attention while solving their problems. The rise of conversational interfaces and AI chatbots has significantly transformed how businesses interact with customers.
They provide round-the-clock assistance and enhance user experiences through automated, personalised interactions. This saves time, resources, and manual labour and ensures users receive timely responses.
According to statistics, the chatbot sector is experiencing remarkable financial growth, with estimated revenues reaching approximately $137.6 million in 2023. The increase is predicted to shoot up to $454.8 million by 2027. In 2018, the market’s revenue was a modest $40.9 million.
Common Use Cases for AI Chatbots:
1. 24/7 Customer Support:
The 24/7 customer support you see on digital platforms is AI at work; no employee can talk to you throughout the day. AI chatbots provide continuous support, addressing common queries and troubleshooting issues and reducing wait times by assisting users anytime they need help.
2. Guided User Journeys:
Do you remember the last time you used a new app? It gave you a tour of how everything works, that’s also the work of AI. Chatbots help users navigate websites or apps by providing step-by-step assistance, product recommendations, or service information.
3. Automated FAQs:
There’s also a section on some apps and websites where you can ask questions, and the chatbots will answer them. That’s because users usually ask questions that were asked previously about common issues like shipping queries, account information, or return policies.
Real-World Examples:
Google’s Duplex advances conversational AI with its natural conversation flow, appointment booking capabilities, and seamless integration with Google services. It is handy for carrying out “real-world” tasks over the phone.
It’s a known fact that Starbucks offers a personalised coffee experience; even its chatbot offers a personalised experience. The Starbucks chatbot offers streamlined ordering, enhanced loyalty through rewards integration, and convenient customer support.
4. See It, Say It: Power of Visual and Voice Search
Visual search lets users get information about a product by simply taking a picture, while voice search allows them to issue commands or ask questions in a conversational style.
Some users have disabilities, and as a business owner, you need to cater to everyone, not just for your business but for empathy. Other users want to engage with a platform on the go; they may be driving or too lazy to type their query.
The shift towards visual and voice search is revolutionising how users interact with technology. It makes search more intuitive, accessible, and capable of handling complex queries.
Users are always looking for ways to interact with digital platforms beyond typing. Visual and voice searches are undoubtedly more convenient than traditional typed searches, as they are more natural and faster ways to find information (especially when users don’t know the exact keywords).
Convolutional Neural Networks (CNNs) identify photo patterns and deliver relevant search results for image recognition. For voice recognition, Natural Language Processing (NLP) algorithms help voice-activated systems understand context, nuances, and intent, making voice search results more accurate and conversational.
Real World Examples:
Next time you like a pair of shoes on an app and want to compare the price of the same shoes on another app to get the best price deal, use Google Lens to search for them with a picture of the shoes.
YouTube and Google started using a voice search option a few years ago, which your kids use to irritate you when they search for their favourite dancing videos in the middle of the day. Yeah, that’s what voice search does—it makes it so easy to search for something that even your kids can do.
5. Prototyping at Lightning Speed with Data-Backed Insights
Prototyping is an integral part of the UX design process. Prototypes work like blueprints, and designers create mock-ups for stakeholders to approve and get an idea of what the end product will look like.
Prototypes are not the final product, so using AI to create them can be a good option. Tools used to create prototypes have different features, like design-to-code generation, intelligent component resizing, and shape and pen tools. These features help designers make detailed vector graphics with a few simple sketches.
Gone are the days when prototypes only had basic functionalities. Now, AI facilitates the creation of prototypes that are very close to reflecting what the final product looks like and how real-world users can engage with it.
Some AI tools for UX design prototyping and testing include Uizard, Fronty, Mockitt AI, etc.
Uizard is a powerful AI-based prototyping tool that streamlines the design process by turning hand-drawn sketches into interactive digital prototypes.
Fronty lets you convert images to HTML CSS. It’s the world’s first image-to-HTML converter. This AI-powered tool can help you create a website in a few minutes.
Mockitt AI, also known as Wondershare Mockitt, is a project management tool developed by Wondershare. It allows you to design an interactive and animated prototype that best presents your ideas using its libraries full of built-in UI assets and templates.
6. Write Better UX and Product Copy
As they say, content is king. Website UX and product copy drive a business and guide users’ customer journeys. Clear and concise writing helps users navigate the digital product, and AI has been very helpful in writing those.
If not fully adapt the AI written copy, copywriters and designers take inspiration from it to write better copy. AI better understands behaviour patterns, user persona data, and what words strike users and compel them to become customers.
UX designers usually have UX writing experts on their teams who help them with UX writing, but AI can be very helpful when teams are small.
Writing tools like Writer and Copy AI help designers ditch that ‘Lorem ipsum’ text and include something informational rather than placeholder text in the prototypes. You can search for text relevant to your context, demographics, and style.
Real-World Applications:
With AI writing, designers can write content for onboarding screens, error messages, feature descriptions, product descriptions and CTAs required for digital platforms.
7. Decrease Design Bias and Increase Creativity
Human designers can sometimes make wrong decisions because they get caught up in stereotypes and biases. On the other hand, AI is just technology and will only do what’s objectively suitable for UX design.
Designers don’t even intentionally create biases. Sometimes, it may happen unintentionally, but then the product eventually suffers. The product’s usability will only be attractive to certain users, not the entire demographic.
AI tool to decrease bias in UX design:
Google Fairness Indicator assess whether machine learning algorithms used in UX design (e.g., personalised website design or content filtering) are biased toward certain user groups.
How Yellow Slice Helped Augmont to Ace their UI/UX Design
Augmont allows you to buy 24k Gold Online. They provide digital gold and silver with 999 purity and other products, including Gold SIP and gold loans.
The Problem: The Augmont team was experiencing low business output from their B2C application. Hence, they contacted Yellow Slice to modernise its digital presence with a new, responsive website.
The Solution: The Yellow Slice designer team developed a responsive website that introduced new features to attract quality users, including a round-off feature and a product as a target feature to attract more quality users.
We simplified and reduced the steps in several of their processes, including onboarding, to make them user-friendly. We also added more illustrations and icons to make them more aesthetically pleasing.
Let Your Business Experience a Slice of Excellence
We have worked with big names like Make My Trip, NPCI, Axis Bank, and Croma (and the list is long) and have picked up the best UX design practices. We take pride in advancing the human experience and deriving results for business with intuitions and facts.
Ready to get a slice of digital experience? Visit our service page, and let’s start designing your success today.
FAQs
1. How to integrate AI in UX design?
Some AI-powered techniques can elevate your UX design and ensure user-centricity in many ways. These include analysing large volumes of user data simultaneously, optimising design prototyping and testing, improving UX and product copy, decreasing the designer’s bias, and increasing design accessibility.
2. Which AI tools are best for UX design?
Many AI tools offer innovative solutions to complex business problems regarding UX design, including Uizard, Figma, Adobe, Jasper, Galileo AI, VisualEyes, Khroma, Visily, and Fronty. Visit the service page of Yellow Slice and get to know how we use AI with a blend of knowledge of professional and experienced designers to get the best results for business owners.
