Forem: Tetiana Rachynska

Human-AI Interaction Is Here: Why Your Current UX/UI Design Is Already Obsolete

Tetiana Rachynska — Tue, 31 Mar 2026 20:24:47 +0000

Generative AI is driving at the speed of Ferrari, offering a new type of interaction in digital product user experience: humans and AI are becoming best pals. Instead of buttons, we see prompts; instead of just navigation, we see intent detection, and instead of forms, we see live conversations. All these changes belong to a new paradigm of generative UI, where interfaces respond to human input.

The uncomfortable truth is that many designers intend to leverage the power of AI; however, some end up making their UX even worse. So, how does AI belong in modern digital products? I am going to share with you where smart technologies improve the experience and where traditionally crafted interfaces outperform intelligence.

Did AI Shift Happen Overnight?

At some point, when I opened my Notion tab, I realized that I was no longer navigating the same interface I used to. In the past, I had to search through menus and configure my workflows; now, I see how intelligent systems anticipate my intent.

The same transformation happened to Figma. Their auto-layout suggestions, smart alignment, content-aware spacing, and responsive sizing became natural extensions of the existing functionality.

So, there was no big moment when those products became “AI products”. They gradually dissolved intelligence into their workflows. And now I am not just using AI. I am designing faster, with fewer interruptions, and with less cognitive load.

Where AI Reshapes Interfaces

AI in UI/UX design is not only a flashy “ask AI” button. It is the implementation in the interaction models. Nowadays, you can see such examples where intelligence defines how users search, find, act, and decide through:

Intelligent search assistants. Sometimes, I ask myself a question: “Does this search agent understand me better than my partner?” But jokes aside, modern intelligent search assistants understand intent, context, and ambiguity. From a user perspective, this significantly reduces cognitive load while the interface dynamically adjusts.
Context-aware UI. One-dashboard-suits-all is no longer interesting. AI enables interfaces to change based on user role, behavior, progress, and past patterns. Users can see highlighted data, prioritized actions, or suggested next steps.
Automated data preparation and setup flows. I always feel comfortable when I shop on my favorite service, proceed to the checkout, and see my details already prefilled. This makes me want to buy more and often. AI removes setup friction, making the journey very smooth.

Design Without AI Is the New Technical Debt

AI should not be added to interfaces just because it is trendy. However, some complex data-heavy and context-dependent UX issues can no longer be solved with static rules and screens.

Let’s take adaptive interfaces, for example. Traditional UI/UX design approaches rely on predefined states and decision trees. But AI-powered interfaces can go far beyond. They can use probabilistic reasoning to adjust what is shown on the screen based on real user characteristics and behavioral patterns.

AI also improves the scalability of the experience from an engineering standpoint. As the product evolves, edge cases multiply, user needs diversify, and data volumes explode. How would you expect to design a separate interface path for each scenario? Without AI, it would be impossible to do that. But machine learning can generalize the scenarios and apply shared logic.

AI Is Not Always a Step Forward
AI is a great addition, but not a foundation of the whole digital product. The human remains the center of attention, and not all advancements are easily understood by our brains. Conversational interfaces are not a universal replacement for graphical user interfaces, and here is why:

Text and visual scanning. AI assistants present information in blocks of text. In order to get the point, users need to read linearly, sentence by sentence. However, graphic UIs present data spatially through charts, icons, graphs, and layouts. The key insights are grasped in seconds.
Cognitive load and information density. Well-crafted interfaces compress meaning by showing icons instead of words, turning sentences into short labels, and transforming flows into diagrams. With AI-generated text, the cognitive load is higher as users need to parse through the output.
Action discovery and step-by-step guidance. Graphical interfaces display multiple possible actions at once. Users can quickly choose the needed option. AI agents, by nature, are prone to reveal information sequentially. While beginners might enjoy this interaction, seasoned users will be slowed down.

Where AI Strengthens UX Instead of Replacing It

Smart intelligence delivers real value in the areas where it operates behind the interface. It works well in reducing cognitive load, automating repetitive tasks, and speeding up decision-making. The best implementations don’t use “loud words” to talk to people. They optimize workflows while users focus on what matters the most.

While working on AI-driven products, I noticed that those technologies work best by accelerating workflows and freeing humans to do high-value work, as in the case of the Sully.AI product. This platform is designed for healthcare professionals to eliminate the time-consuming work of nurses, doctors, and administrators.

Instead of a single chatbot, we built nine specialized AI agents who serve clear roles: triage nurses, receptionists, and other medical assistants. Every dedicated AI specialist supports a defined interaction layer, while the graphic UI remains the control center. Thus, medical staff spend less time navigating systems and doing paperwork.

In another case, a U.S.-based construction permit platform has to submit a massive amount of documents to local authorities before starting a project. AI was introduced as a preliminary validation layer inside the existing UI. Before sending documentation to the authorities, AI checks it for compliance and flags inconsistencies or missing data. As a result, developers get a faster feedback loop and public officials have a reduced load.

When AI Should Step Aside

AI is not a solution for every UI/UX challenge. If a task is faster, clearer, and more intuitive to complete through a graphic interface, like filling out a form, complicating it with advanced technologies can slow down the user.

Research comparing conversational interfaces with traditional forms confirms that users complete structured tasks faster and with fewer errors when information is presented visually instead of via chat-based interactions.

This aligns with broader usability findings that people don’t just read, they scan visual information and make choices instantly, while AI might present unnecessary instructions that increase cognitive load. In these cases, sticking to well-designed UI ensured great usability and user satisfaction.

Smart AI Placement
The guessing game is not the best approach in deciding where to integrate AI into your product UI/UX. I recommend teams answer those questions to build a clear implementation framework:

Is the task ambiguous or open-ended? AI excels in processing complex, open-ended queries where setting predefined rules doesn’t work.
Does the workflow require multiple structured steps? If you have repetitive tasks with stepwise processes, be sure to loop in the AI help for automation.
What happens if the AI is wrong? Set your risk appetite and decide whether human oversight is necessary to catch mistakes before they turn into outcomes. The overall goal is to improve efficiency, not to introduce unnecessary complexity or friction.

Final Thoughts

AI is opening a door to immense personalized opportunities for UI/UX, but it doesn’t replace a thoughtful and deep human contribution. The real power is to combine those experiences, where smart technologies complement intuitive design.

Intelligent assistants can automate repetitive tasks, optimize workflows, and provide context-aware guidance. And graphical interfaces can ensure clarity, efficiency, and quick information scanning.

By going hybrid, you get the best of both worlds.

If It's Not Accessible, It's Not Design

Tetiana Rachynska — Mon, 26 Jan 2026 22:32:03 +0000

When I first started my career in UX/UI design, I presented a redesign of a dashboard to a SaaS client. A clean interface, smooth animations, trendy gradients. The CEO nodded approvingly until their product manager squinted at the screen and said, “I can't read anything.”

The text was 13px. Light gray on white. It was indeed inconvenient for regular users.

That moment haunts me. And the question that changed my approach was, “Who did I exclude?”

Legal Reality: Compliance Isn’t Optional

That dashboard redesign? The real problem wasn't just that product manager couldn't read the text. It was also that I had unknowingly created a product with legal and financial risks.

Some product owners may perceive accessibility as a "nice-to-have." This is a dangerous misconception, as this aspect of digital products is regulated by the following:

WCAG 2.2, an international accessibility standard with levels A (minimum), AA (goal for most), and AAA (advanced). It is referenced in laws around the world.
The ADA (Americans with Disabilities Act), which applies to digital products.
The European Accessibility Act, which came into force in June 2025, mandates that all digital products and services in the EU must be accessible. E-commerce, banking, transportation, telecommunications - everything falls under this law.

The Domino's Pizza story is a textbook example of how not to do things.

In 2016, Guillermo Robles, a man with blindness, visited the Domino's website to order a pizza. His screen reader couldn't interact with the interface properly, and Guillermo Robles decided to sue them.

As a result, Domino’s had to file a petition, reaching the Supreme Court, but it denied it. Domino’s had to fight this accessibility claim in court.

If you work with the US market, the ADA applies. If you work with the European market, the European Accessibility Act applies. Either way, your digital products must be accessible - and these are not just guidelines but legal requirements.

Designing for Some, Helping Everyone

Remember my question from the beginning - "Who did I exclude?"

The answer is bigger than I thought. According to the WHO, approximately 1.3 billion people - 16% of us - live with some form of disability. That's one in six people. When you create an inaccessible product, you're not serving a "niche." You're excluding a huge segment of the market.

In addition, according to the Nielsen Norman Group, between the ages of 25 and 60, the ability to use websites declines by 0.8% annually due to natural vision deterioration. After 40, everyone's vision deteriorates.

But permanent impairments are only part of the story.

Ramps on sidewalks were created for wheelchairs. Who else uses them? Parents with strollers, people with luggage, couriers, and cyclists. Everyone uses a solution designed for people with disabilities.

This is a fundamental principle of inclusive design: solutions for extreme cases become convenient for everyone.

Limitations can be categorized in the following ways:

Permanent: arm amputation
Temporary: broken arm
Situational: parent holding a child

All three need the same solution: keyboard navigation, voice control, and one-handed operation. By solving for permanent disability, you automatically solve for everyone.

Situational Limitations: Your Users Are Already Experiencing Them

Think about the past week. How many times did you encounter situational constraints?

You watched a video in a library or café without headphones, and subtitles became a necessity.
You tried to read your phone screen in bright sunlight, and the low contrast made the text completely unreadable.
You cooked dinner, desperately needing voice control or touchless navigation.
You filled out a form after a long day at work, and fatigue and cognitive load made complex interfaces unbearable.

Thus, situational disabilities aren't rare but part of daily life for all of us.

The Business Case for Accessibility

“What about the impact of accessibility on product metrics?” - I hear this from many product owners. Let's talk numbers from some of our recent design projects where we improved accessibility or implemented its features from scratch:

Onboarding time: Reduced from 4.5 to 1.5 days
Support tickets: Dropped by 25-40%
Form completion: HR SaaS cut abandonment from 45% to 10%

Apple Does It Right

VoiceOver (built-in screen reader, one of Apple’s multiple accessibility features) works out of the box on all Apple devices. Adjustable text sizes, high-contrast modes, and voice control are standard features. Millions of users with disabilities choose Apple for its accessibility. But everyone wins - seniors, people with temporary limitations, anyone in challenging usage conditions.

Practical Steps to Implement Accessibility

Where do you start your accessibility journey? Here are specific actions for today with real results from real projects.

1. Semantic HTML

<!-- Bad -->
<div class="button" onclick="submit()">Send</div>

<!-- Good -->
<button type="submit">Send</button>

Correct semantics (<header>, <nav>, <button> instead of <div>) helps screen readers. But there's a side effect: my e-commerce client received +34% organic traffic in three months. Google better understood the content structure.

Semantics automatically solves a big part of accessibility issues.

2. Contrast

Use WebAIM Contrast Checker. Minimum WCAG 2.1:

4.5:1 for text
3:1 for large text
3:1 for UI components

Check on colored backgrounds, in dark mode, at different brightness levels.

Real impact: I increased the contrast in a B2B dashboard from 13px to 16px, raised the contrast ratio to 7:1, and improved the line spacing. NPS increased by +12 points. Users said: "Finally, we can work without headaches."

3. Keyboard Navigation

Full keyboard navigation isn't just for people with motor impairments. When we implemented it for B2B SaaS, support tickets dropped by 40%. Advanced users discovered hotkeys and started working faster.

Who needs this? Developers, anyone with a broken mouse, and anyone who wants efficiency.

4. Touch Target Size

Minimum 44x44px on mobile devices. This helps people with motor impairments, the elderly, and anyone on the move.

5. Not Color Alone

Bad: "Red fields are mandatory."
Good: "Fields marked with an asterisk (*) and labeled 'mandatory'"

8% of men are colorblind. Plus, colors can be challenging to see in sunlight.

6. Subtitles and Transcripts

Subtitles for all videos. Transcripts for audio. Use auto-tools, but double-check.

Real impact: One of our clients, an educational platform, added transcripts to videos. Completion rates jumped by +28%. Students used Ctrl+F to search for topics, and people in cafes could watch without sound. What’s more, SEO was improved.

7. Testing with Real People

Automation catches 30-40% of problems. You need:

Screen readers (NVDA, VoiceOver)
Keyboard-only navigation
Real users with disabilities

Make accessibility part of regular QA.

Conclusion

When you design for blind people, you create a design that also helps all users and search engines.
When you design for people with motor impairments, you add keyboard navigation and speed up power users.
When you design for older people, you make text readable for everyone, in all lighting conditions and for all levels of eye fatigue.
When you design for people with cognitive impairments, you simplify the interface for anyone who is tired and stressed.