Hit or Miss? AI Can Make Them Spot-On.

4 min readApr 23, 2024

Have you ever get SO annoyed with an app that makes you feel like you’re going in circles? 🌀 ? Like, you just want to buy that new shirt, but the app keeps sending you in circles!

AI, you can analyze real user interactions on your existing website. AI tools can track things like:

___ Bad UX design can make users feel lost and annoyed 🥴

There’s gotta be a better way, right? Well, guess what? There is!

Imagine apps that actually understand you, like a friend suggesting your next favorite show. Now AI is changing how we design for users. It’s like having a super-powered sidekick that can analyze data, predict behavior, and create personalized experiences. Here’s how AI is changing UX design:

Understanding User Needs :

Imagine you’re designing a new e-commerce website. You want the checkout process to be as smooth and efficient as possible. In the past, you might rely on user testing or surveys to understand user pain points.

However, with AI, you can analyze real user interactions on your existing website. AI tools can track things like:

Clickstream data: This shows the exact path users take as they navigate your website. Are they getting stuck on a particular page during checkout?
Form abandonment: How many users start filling out the checkout form but don’t complete it? This could indicate a problem with the form itself or the layout of the checkout process.
Heatmaps: These visualize where users click on your website. Are they clicking on irrelevant elements or having trouble finding the “buy” button?

By analyzing this data, AI can identify patterns and potential problems in the user experience.

For example, AI might discover that users are clicking back and forth between the shopping cart and product pages multiple times before checkout. This could indicate that users are unsure about the total cost or shipping information.

Based on these insights, you can use AI to improve the UX design in several ways:

📝 Pre-populate forms: Automatically fill in user information from previous purchases to save them time.
🚚 Display estimated shipping costs upfront: Reduce user anxiety about hidden fees.
🛒Offer a “guest checkout” option: Allow users to purchase without creating an account.

Real-World Examples of AI in Action:

Amazon’s Predictive Search:

As you type in Amazon’s search bar, AI algorithms predict what you might be looking for and suggest relevant products, saving you time and frustration.

Netflix’s Recommendation Engine:

Ever felt like Netflix just “gets” you? Netflix’s recommendation engine is powered by AI and analyzes users’ viewing habits to suggest shows and movies that they are likely to love, keeping them engaged. New users are prompted to rate their interest in movies and rate any movies they have already seen, helping them discover new content they will enjoy. With 75% of viewer activity based on these recommendations, the algorithm appears to be successful in keeping users engaged and satisfied with their viewing choices. If the algorithm were inaccurate, users may rely on external sources for movie recommendations and ultimately cancel their subscriptions.

Creating an Accessible User Experience

Another way that AI can also help make websites and apps accessible for everyone is by suggesting changes to make them easier to use for people with disabilities, such as:

🚧 Identifying roadblocks for users with disabilities

🎨 Suggesting adjustments for color contrast

🔍 Providing alt text for images to assist the visually impaired in understanding content.

💬 Offering audio feedback and voice commands for users with mobility impairments.

🔊 Generating transcripts and captions for audio and video content to aid those who are hearing impaired.

⌨️ Ensuring flawless keyboard navigation

These AI-powered improvements make checkout easier, which makes customers happier and more likely to buy.

TLDR

🌟 AI in UX design is changing how websites and apps are designed to create smoother, more intuitive experiences
📊 AI can analyze data, predict user behavior, and create personalized experiences
🎯 AI tools can track user interactions like clickstream data and form abandonment to understand user needs
💡 AI can help designers identify pain points and make improvements to enhance the overall user experience
🚧 AI helps websites & apps for disability accessibility by suggesting color contrast, alt text for images, & smooth keyboard navigation.