“Design used to be the seasoning you’d sprinkle on for taste. Now it’s the flour you need at the start of the recipe.’’

— John Maeda, Designer and Technologist
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Privacy Policy

This Privacy policy was published on March 1st, 2020.

GDPR compliance

At UX GIRL we are committed to protect and respect your privacy in compliance with EU - General Data Protection Regulation (GDPR) 2016/679, dated April 27th, 2016. This privacy statement explains when and why we collect personal information, how we use it, the conditions under which we may disclose it to others and how we keep it secure. This Privacy Policy applies to the use of our services, products and our sales, but also marketing and client contract fulfilment activities. It also applies to individuals seeking a job at UX GIRL.

About UX GIRL

UX GIRL is a design studio firm that specialises in research, strategy and design and offers clients software design services. Our company is headquartered in Warsaw, Poland and you can get in touch with us by writing to hello@uxgirl.com.

When we collect personal data about you
  • When you interact with us in person – through correspondence, by phone, by social media, or through our uxgirl.com (“Site”).
  • When we get personal information from other legitimate sources, such as third-party data aggregators, UX GIRL marketing partners, public sources or social networks. We only use this data if you have given your consent to them to share your personal data with others.
  • We may collect personal data if it is considered to be of legitimate interest and if this interest is not overridden by your privacy interests. We make sure an assessment is made, with an established mutual interest between you and UX GIRL.
  • When you are using our products.
Why we collect and use personal data

We collect and use personal data mainly to perform direct sales, direct marketing, and customer service. We also collect data about partners and persons seeking a job or working in our company. We may use your information for the following purposes:

  • Send you marketing communications which you have requested. These may include information about our services, products, events, activities, and promotions of our partners. This communication is subscription based and requires your consent.
  • Send you information about the services and products that you have purchased from us.
  • Perform direct sales activities in cases where legitimate and mutual interest is established.
  • Provide you content and venue details on a webinar or event you signed up for.
  • Reply to a ‘Contact me’ or other web forms you have completed on our Site (e.g., to download an ebook).
  • Follow up on incoming requests (client support, emails, chats, or phone calls).
  • Perform contractual obligations such as invoices, reminders, and similar. The contract may be with UX GIRL directly or with a UX GIRL partner.
  • Notify you of any disruptions to our services.
  • Contact you to conduct surveys about your opinion on our services and products.
  • When we do a business deal or negotiate a business deal, involving sale or transfer of all or a part of our business or assets. These deals can include any merger, financing, acquisition, or bankruptcy transaction or proceeding.
  • Process a job application.
  • To comply with laws.
  • To respond to lawful requests and legal process.
  • To protect the rights and property of UX GIRL, our agents, customers, and others. Includes enforcing our agreements, policies, and terms of use.
  • In an emergency. Includes protecting the safety of our employees, our customers, or any person.
Type of personal data collected

We collect your email, full name and company’s name, but in addition, we can also collect phone numbers. We may also collect feedback, comments and questions received from you in service-related communication and activities, such as meetings, phone calls, chats, documents, and emails.

If you apply for a job at UX GIRL, we collect the data you provide during the application process. UX GIRL does not collect or process any particular categories of personal data, such as unique public identifiers or sensitive personal data.

Information we collect automatically

We automatically log information about you and your computer. For example, when visiting uxgirl.com, we log ‎your computer operating system type,‎ browser type,‎ browser language,‎ pages you viewed,‎ how long you spent on a page,‎ access times,‎ internet protocol (IP) address and information about your actions on our Site.

The use of cookies and web beacons

We may log information using "cookies." Cookies are small data files stored on your hard drive by a website. Cookies help us make our Site and your visit better.

We may log information using digital images called web beacons on our Site or in our emails.

This information is used to make our Site work more efficiently, as well as to provide business and marketing information to the owners of the Site, and to gather such personal data as browser type and operating system, referring page, path through site, domain of ISP, etc. for the purposes of understanding how visitors use our Site. Cookies and similar technologies help us tailor our Site to your personal needs, as well as to detect and prevent security threats and abuse. If used alone, cookies and web beacons do not personally identify you.

How long we keep your data

We store personal data for as long as we find it necessary to fulfil the purpose for which the personal data was collected, while also considering our need to answer your queries or resolve possible problems. This helps us to comply with legal requirements under applicable laws, to attend to any legal claims/complaints, and for safeguarding purposes.

This means that we may retain your personal data for a reasonable period after your last interaction with us. When the personal data that we have collected is no longer required, we will delete it securely. We may process data for statistical purposes, but in such cases, data will be anonymised.

Your rights to your personal data

You have the following rights concerning your personal data:

  • The right to request a copy of your personal data that UX GIRL holds about you.
  • The right to request that UX GIRL correct your personal data if inaccurate or out of date.
  • The right to request that your personal data is deleted when it is no longer necessary for UX GIRL to retain such data.
  • The right to withdraw any consent to personal data processing at any time. For example, your consent to receive digital marketing messages. If you want to withdraw your consent for digital marketing messages, please make use of the link to manage your subscriptions included in our communication.
  • The right to request that UX GIRL provides you with your personal data.
  • The right to request a restriction on further data processing, in case there is a dispute about the accuracy or processing of your personal data.
  • The right to object to the processing of personal data, in case data processing has been based on legitimate interest and/or direct marketing.

Any query about your privacy rights should be sent to hello@uxgirl.com.

Hotjar’s privacy policy

We use Hotjar in order to better understand our users’ needs and to optimize this service and experience. Hotjar is a technology service that helps us better understand our users experience (e.g. how much time they spend on which pages, which links they choose to click, what users do and don’t like, etc.) and this enables us to build and maintain our service with user feedback. Hotjar uses cookies and other technologies to collect data on our users’ behavior and their devices (in particular device's IP address (captured and stored only in anonymized form), device screen size, device type (unique device identifiers), browser information, geographic location (country only), preferred language used to display our website). Hotjar stores this information in a pseudonymized user profile. Neither Hotjar nor we will ever use this information to identify individual users or to match it with further data on an individual user. For further details, please see Hotjar’s privacy policy by clicking on this link.

You can opt-out to the creation of a user profile, Hotjar’s storing of data about your usage of our site and Hotjar’s use of tracking cookies on other websites by following this opt-out link.

Sharethis’s privacy policy

We use Sharethis to enable our users to share our content on social media. Sharethis lets us collects information about the number of shares of our posts. For further details, please see Sharethis’s privacy policy by clicking on this link.

You can opt-out of Sharethis collecting data about you by following this opt-out link.

Changes to this Privacy Policy

UX GIRL reserves the right to amend this privacy policy at any time. The latest version will always be found on our Site. We encourage you to check this page occasionally to ensure that you are happy with any changes.

If we make changes that significantly alter our privacy practices, we will notify you by email or post a notice on our Site before the change takes effect.

A woman sitting at a desk in an office, viewed from behind, working on a laptop while a wall covered with colorful sticky notes and papers is visible in the background.

Press Office

AI as an Assistant in Initial UX Research

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WSTAW
Author picture

Artificial Intelligence (AI) is transforming industries, and UX research is no exception. AI-powered systems simulate human intelligence, learning from data, identifying patterns, and making informed decisions. In the realm of UX, AI enhances research by optimizing workflows, increasing efficiency, and personalizing user experiences. Rather than replacing traditional methods, it serves as a powerful complement, helping teams uncover deeper insights and create more intuitive digital products.

A circular infographic titled ‘UX Research’ in the center, surrounded by six labeled steps: 01 Design, 02 Recruitment, 03 Testing and facilitation, 04 Analysis and synthesis, 05 Reporting, and 06 Storage and repository. Each step includes brief descriptions and examples of AI tools used in the process.

The Influence of AI on UX Research

AI can be integrated into various stages of UX research to improve effectiveness and provide richer understanding. Here’s how AI can be utilized in each phase:

  • Design: AI can contribute to the development of research materials. This includes creating interview and focus group guides, survey questions, and research strategies. AI can also facilitate brainstorming and planning, supporting the establishment of research goals.
  • Recruitment: While some researchers don't use AI for recruitment, it can automate the process of identifying and engaging participants, managing invitations and communication.
  • Testing and Facilitation: AI-driven tools can manage usability testing, eye-tracking studies, heatmaping and emotional response analysis autonomously, accelerating data acquisition. AI can also transcribe audio from user sessions and analyze user sentiment in real time.
A promotional webpage for Uizard’s Attention Heatmap feature, showing text explaining how AI-generated heatmaps predict user focus in UI designs, alongside a smartphone mockup displaying a heatmap overlay on a completed ride-rating screen.

Uizard offers an AI- powered heat mapping process. This tool can help designers tweak their designs at the early stage, before testing it with real users.

“A screenshot of the Otter.ai interface showing a meeting summary for a product launch, including action items with checkboxes such as ‘Align on pricing with Sales team,’ ‘Lead tech showcase,’ and ‘Review customer feedback from Beta launch,’ alongside a left sidebar with channels and direct messages.

Otter.ai can transcribe both live and recorded videos, making it easier to capture and review key insights. It also generates action items, streamlining workflows and enhancing productivity for UX researchers.

  • Analysis and Synthesis: AI has the ability to process vast datasets, uncovering patterns and meaningful insights. It can efficiently summarize notes, transcripts, and open-ended feedback, streamlining the research process. Additionally, AI supports thematic and cluster analysis, allowing researchers to focus on interpreting findings and driving strategic decision-making.
  • Reporting: AI can aid in summarizing key findings and translating insights into easily digestible visuals. It can also contribute to the creation of report content.
  • Storage and Repository: AI can integrate data from multiple sources, enabling researchers to explore research questions and uncover hidden connections. Tools like NotebookLM, for instance, allow users to consolidate sources and interact with them through chat, making it easier to retrieve specific insights and streamline analysis.
A dark-themed NotebookLM dashboard displaying the greeting ‘Welcome to NotebookLM’ above a section titled ‘My Notebooks,’ with two notebook cards shown: ‘AI in UX Research: Revolutionizing Design’ and ‘Usability Testing at a Fast-Paced Company,’ along with a button to create a new notebook.

NotebookLM serves as a centralized hub for storing project documents, making it easy to organize and access important research materials. Its chat feature allows users to ask specific questions, quickly retrieving relevant insights. Additionally, you can generate a podcast-style audio version of the content, providing a more digestible and convenient way to absorb information on the go.

AI Tools for UX Research

A range of AI-powered tools has emerged to empower UX researchers and optimize their workflows. These tools can automate research tasks, analyze user feedback, and generate insights more efficiently.  

Examples include:

  • ChatGPT, Gemini, Claude, Perplexity: General-purpose AI platforms utilized for research planning, background research, and generating interview or survey questions. According to a User Interviews report, 60% of designers state using all-purpose AI for research work.
  • Figma’s Figjam AI, Notion AI, Miro AI: AI-enhanced features within common UX tools that support ideation and collaboration.
“A promotional Miro webpage showcasing AI features: on the left, a canvas with colorful sticky notes and an AI ‘Product Leader’ suggestion pop-up; on the right, another canvas where Miro AI is generating ideas connected by arrows, with notes labeled by different team members. Text below highlights ‘AI Sidekicks’ and ‘AI shortcuts’ as productivity tools.

Miro AI provides time-saving tools for designers by automating tasks such as data analysis and topic clustering. By handling these repetitive processes, AI allows designers to concentrate on generating ideas and building creative solutions based on the organized content.

  • Research-Specific AI Tools: Gemini Deep Research, STORM, NotebookLM and similar platforms assist in conducting in-depth research and focusing on key topics.
A landing page for Co-STORM, a Stanford University research prototype, featuring a headline promising a ‘Wikipedia-like report on your topic with AI,’ a button labeled ‘Get Started,’ and a preview illustration of the system’s interactive knowledge-curation workflow.

STORM AI, developed by Stanford University, is an advanced AI model designed to assist with research planning and material gathering. Optimized for scientific research, it streamlines the process by providing structured insights and relevant resources.

  • AI-powered Social Media Monitoring Tools: Analyze user sentiment toward a product or brand by categorizing social media posts and comments.
  • Voice and Speech Analysis Tools: Employ speech recognition and sentiment analysis to interpret emotions in user interactions.
  • AI Analytics Tools: Help gather insights from various sources, such as user interactions, feedback, and social media.
  • AI Visualization Tools: Help create visually appealing reports or pitch decks for stakeholders. 

Conclusion

AI is a powerful tool for enhancing and streamlining the UX research process, allowing researchers to focus on strategic thinking, pattern recognition, and design solutions rather than getting bogged down by routine tasks. It can also help overcome creative blocks and accelerate project kick-offs.

When used effectively, AI can significantly speed up various research stages—from crafting discussion guides to synthesizing insights. However, human oversight remains essential to ensure accuracy, contextual relevance, and empathy in UX research.

AI should be seen as an assistant rather than a replacement for UX professionals. While it excels at automation and data analysis, human expertise is irreplaceable for creative problem-solving and deep user understanding. By thoughtfully integrating AI into research workflows, teams can strike a balance between efficiency and delivering meaningful, user-centered design outcomes.

A cozy, plant-filled workspace featuring a large desktop computer displaying a grid of design thumbnails, with drawing tablets and other creative tools neatly arranged on a wooden desk.
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5 min

Psychology of Color in UX/UI

Color is one of the most powerful tools in the hands of a UX/UI designer. The right color choices not only attract attention but also evoke emotions, build trust, and influence purchasing decisions. Color psychology isn’t magic – it’s a well-established science that should be an essential part of every interface design process.

Why Do Colors Matter?

Each color carries specific cultural and emotional associations. While interpretations may vary based on context and geography, there are universal patterns that designers can rely on.

Colors can:

  • Set the mood (e.g., blue calms, red excites)
  • Guide the eye (e.g., accent colors draw user attention)
  • Strengthen brand identity (e.g., green in logos suggests nature or sustainability)
  • Increase conversions (e.g., a well-chosen CTA button color can boost clicks)

What Emotions Do Colors Evoke?

🔴 Red

  • Emotions: Energy, passion, urgency
  • Best for: Sales, alerts, calls-to-action
  • Caution: Can be stressful if overused

🔵 Blue

  • Emotions: Trust, calm, professionalism
  • Best for: Banking, tech, healthcare
  • Caution: Cool tones may feel distant

🟢 Green

  • Emotions: Nature, freshness, balance
  • Best for: Eco-friendly products, finance, wellness
  • Tip: Often used to indicate success or confirmation

🟡 Yellow

  • Emotions: Optimism, happiness, energy
  • Best for: Promotions, children's products, creative brands
  • Caution: Overuse can be visually overwhelming

🟣 Purple

  • Emotions: Luxury, creativity, spirituality
  • Best for: Beauty, art, premium products
  • Tip: Use with care — not everyone connects with it

⚫ Black

  • Emotions: Elegance, power, modernity
  • Best for: Luxury, high-end design
  • Tip: Works best with strong contrast

⚪ White

  • Emotions: Simplicity, clarity, purity
  • Best for: Minimalist interfaces, clean layouts
  • Tip: Pair with accent colors for visual interest

Contrast and Accessibility

Color psychology is not just about emotions — it's also about functionality. Good color choices should be accessible to all users, including those with vision impairments (like color blindness). In UX/UI, make sure to focus on:

  • High contrast between text and background
  • Clear indication of states (hover, focus, disabled)
  • Following WCAG guidelines (e.g., minimum contrast ratio of 4.5:1)

Practical Uses of Color in UX/UI

  1. Call to Action (CTA): Buttons should stand out using high-contrast, bold colors like red, green, or orange.
  2. Onboarding & Microinteractions: Colors help guide users (e.g., green = “success”, red = “error”).
  3. Dark mode vs. light mode: Many apps offer both — colors must be adapted to maintain clarity and emotional consistency.

Final Thoughts

Color psychology isn’t about personal taste — it’s about communication. By using color deliberately, you can shape how users feel, behave, and interact with your product. Designing interfaces isn’t just about aesthetics — it’s about creating meaningful, emotional connections.

A team of five people gathered around a table in a modern office, smiling and discussing ideas while looking at documents and a laptop.
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5 min

Women-Led UX Studio: Why Diversity Wins

Imagine this: a UX team is developing a digital product, but all members share similar life experiences — similar age, background, and gender. As a result, the prototype of an app for people with mobility limitations turns out to be barely accessible, because no one in the team noticed the need for interface adaptation. When a UX team is diverse, with women in leadership roles, the chances of catching and fixing such issues early rise significantly.

Why diversity matters in UX

Diverse design teams — not only in terms of gender but also culture, experience, age, or way of thinking — bring different perspectives that help avoid cognitive biases and create more inclusive solutions. A study called Inclusion unlocks the creative potential of gender diversity in teams found that diversity alone is not enough — women and other underrepresented groups need to be actively involved in core decision-making stages, such as research and design, for diversity to translate into real creativity gains.

Companies with more women in leadership roles also tend to perform better financially. Research shows higher innovation levels, stronger product decisions, and greater empathy toward users. Forbes highlights that women leaders often introduce more collaborative, user-centered approaches that enhance the overall experience.

What women-led leadership brings to UX

  • Empathy and user awareness — Women leaders often put strong emphasis on user research and sensitivity, uncovering “invisible” barriers (cultural, situational, accessibility-related) that others might miss.
  • Collaboration-focused leadership — They tend to create safe environments where team members can share ideas freely, fostering innovation and exploration.
  • Inclusive mindset — Women-led approaches often prioritize designing products that are useful and accessible to broad, diverse groups of users.
  • Balanced decision-making — A focus not only on speed but also on long-term product impact and quality.

UX and better products

Products designed by diverse, women-led teams are often:

  • better aligned with the real needs of underrepresented user groups,
  • less prone to “design blindness” (ignoring accessibility, cultural differences, or varied technical skills),
  • more satisfying for users, resulting in higher loyalty and fewer costly fixes,
  • more adaptive to market shifts, since multiple perspectives strengthen resilience.

Does this make business sense?

The numbers say yes:

  • McKinsey & Company has consistently found that companies with greater diversity in executive teams are more likely to outperform peers financially.
  • A report from NGCP highlights that firms with more women in leadership positions often achieve higher profitability, stronger market positions, and greater operational stability.
  • On the other hand, a study in Chicago Booth Review shows that diversity doesn’t automatically equal performance gains. Diversity must be paired with inclusive culture and organizational commitment to unlock its benefits.

The role of a women-led UX studio like UX GIRL

As a women-led studio, UX GIRL brings unique value:

  • Amplifying perspectives often overlooked in mainstream design, helping spot user needs earlier.
  • Building research and decision-making processes that prevent exclusion and bias.
  • Cultivating inclusive team culture, leading to higher engagement, less burnout, and stronger talent retention.
  • Showing clients that investing in diversity is not just ethical, but a real competitive advantage — when products fit real users better, they deliver higher business value.

Challenges to overcome

While the benefits are clear, building diverse, women-led UX teams comes with challenges:

  • Structural barriers — stereotypes, lack of representation, and slower career progression for women in tech.
  • Tokenism — women included symbolically without real decision-making power.
  • The need for genuine inclusion — hiring diverse talent is not enough; organizations must empower and listen to them.
  • Proper processes — such as diverse user testing, iterative research, and continuous feedback loops.

Conclusions and recommendations

To maximize the impact of diversity in UX, organizations should:

  1. Run a diversity audit — assess who’s in the team and who’s missing.
  2. Foster inclusive culture — create safe environments where all voices matter.
  3. Engage diverse users early — test prototypes across different groups.
  4. Develop women leaders — provide mentoring, growth, and leadership opportunities.
  5. Measure impact — track both qualitative (satisfaction, inclusivity) and quantitative (conversion, retention, error rates, business KPIs) outcomes.

Final takeaway

Diversity in UX — especially in women-led studios — is not just a moral imperative, it’s a business advantage. It ensures products reflect real users, reduces design blind spots, and increases long-term value. For leaders, agency owners, or product managers, the message is clear: investing in women, inclusion, and diversity is not a cost — it’s a strategic asset.

A man and a woman collaborating at a desk, smiling as they review colorful sticky notes and sketches in a warmly lit, creative workspace
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5 min

Building AI Products? Why UX Is Essential

As AI projects gain traction and SaaS ventures become less popular to start, I’ve noticed a new mindset emerging—the belief that you can build an entire AI project on your own. The idea is that you don’t need a designer or even analysts to help shape your groundbreaking AI product because there’s now an abundance of AI tools, like Midjourney and DALL·E, that can assist with the process. But let me tell you—you couldn’t be more wrong, and I’m about to prove it.

So, why do you need a designer in the first place in this new era of AI tools for your AI project? I’m going to break it down and cover the most important aspects—focusing on the key principles behind creating truly great AI products.

AI Products Have More Functionalities Than Just Chat

Most AI products come with additional features that determine whether they are truly usable or not. Take image generation tools, for example—they offer a wide range of options like vary subtle, vary strong, or even a seed ID. But let’s be honest—does anyone even know what that is, anyway? ChatGPT is fairly simple since it’s just text-based, but when you move into text-to-image or text-to-video interfaces, it quickly becomes clear that a basic text field isn’t enough. Sure, you can use it by just typing in prompts, but without proper use of functionalities, you won’t be able to tap into its full potential.

Another example—take the Share feature in ChatGPT. Let’s face it, it just doesn’t work! Whether you’re trying to share a conversation with someone else or even a teammate, it’s always a hassle. More often than not, you’ll end up copying and pasting the answer instead because OpenAI clearly didn’t test or design this feature with usability in mind or is it just strategy? (evil laugh, not mine of course). To sum up, AI products are usually based on Writing functionalities, but not fully. You will still need to design a proper user flow and user interface with a UX designer, before starting the development of a feature.

Midjourney settings interface showing options for image size, aesthetics (stylization, weirdness, variety), model version selection, and speed mode, displayed on a clean white dashboard layout
Midjourney user interface

Pricing segmentation and upsell

If you’re building a groundbreaking AI product, you’ll definitely want to monetize it somehow (those API credits can be a real hassle to pay for, right?). This means you’ll need a solid market strategy, a well-designed pricing structure, and upsell functionalities that encourage users to move up tiers—not down.

This is where a skilled UX designer becomes invaluable. Figuring out the best places to introduce upsells and designing a smooth, effective funnel isn’t just an afterthought—it’s a crucial part of your product’s success. Because let’s be real, aside from great AI functionality, your second biggest priority is making sure users actually want to pay for it.

A Midjourney upgrade pop-up showing pricing and premium features, including no daily limits, artistic control, commercial license, private images, fast generation, creative upscale, and unlimited uploads. A large abstract illustration appears on the left side, with upgrade pricing starting at $10 per month on the right
In order to generate more images in Recraft at once you need to upgrade

Great UI doesn’t automatically translate to great UX (even with AI generated graphics)

There are countless tools available for creating stunning assets—take Midjourney, for example, which we even shared tips and tricks for in one of our articles. Yes, you can use AI tools like this to generate benchmarks or even the visual assets you need for your project with ease.

But remember—UI is not UX. A visually impressive interface won’t save a poorly designed experience. If the entire user journey isn’t thoughtfully crafted, with all edge cases considered, you’ll likely run into serious user retention issues down the line. A beautiful UI means nothing if users get frustrated and leave.

A dark-themed AI interface showing a welcome screen with a colorful 3D brain illustration on the right. The left side includes the text ‘Welcome to AI,’ a prompt input field, and a blue ‘Generate’ button. Below are three feature cards labeled Chat, Images, and Documents.
Super quick presentation of ChatGPT "generate a beautiful UI for an AI product" output, but what is the product about?

Introducing AI features for Fintech and Health care

Some industries require extreme precision in user input and output, meaning they might not benefit from AI-driven features as much as others. Imagine you're planning a detailed travel itinerary for clients in a city you know nothing about. You could spend hours researching, or you could use an AI writing tool to generate ideas you might never have thought of on your own. In this case, AI is a helpful assistant.

Now, imagine using the same AI-generated interface to initiate a bank transaction or transfer money to another person or institution. The potential for errors is enormous—and the consequences could be serious. That’s why industries that rely on precision, like healthcare and fintech, will integrate AI carefully and sparingly. Many of the interfaces we use today in these fields will likely remain unchanged, even after the AI revolution.

If you're building an AI product in fintech or healthcare, it’s critical to carefully plan functionalities with a dedicated UX designer—ideally, one who specializes in the industry. At UX GIRL, fintech is one of our core specialties. We’ve honed our skills through years of experience and have mastered the craft of creating highly usable fintech interfaces.

Slide titled ‘Use cases for AI in fintech’ listing examples including credit risk assessment, fraud detection, virtual assistants, AI-based personal finance tools, and algorithmic trading and portfolio management
IBM Research proposes following use cases for fintech to use AI

Focus on Your User—Who Is Still Human

The tools might be evolving, but remember—you’re still designing for human beings, and not everyone effortlessly navigates the ever-changing world of new tech. Sometimes, it’s better to stick with familiar interaction patterns rather than reinvent the wheel.

Take Windows ME, for example. Microsoft tried to revolutionize the operating system world, but instead of being embraced, it became one of the most infamous failures in tech history. Users found it confusing, buggy, and unintuitive, leading many to downgrade to older versions or simply wait for a completely new release rather than adapt to it. The lesson? No matter how advanced your AI product is, if the user experience isn’t intuitive and user-friendly, people won’t hesitate to abandon it.

So maybe it’s best to hire another human to design for a human—not a machine.

A man working on a laptop in a bright, modern office filled with plants. Another person works at a desk in the background, and a large monitor displaying design software is visible on the right

Afterword: The AI Revolution Needs Great UX—And So Do You

AI is changing the way we build products, but one thing remains the same—your users are still human. No matter how advanced your AI tool is, if people can’t navigate it easily, trust it, or see its full potential, they won’t use it.

That’s why great UX design isn’t optional—it’s essential. From crafting seamless user journeys to designing intuitive interactions, a skilled UX designer ensures that your AI product isn’t just powerful but also usable and profitable.

At UX GIRL, we specialize in creating AI-friendly, user-first designs, particularly in high-stakes industries like fintech and healthcare. Whether you're building a cutting-edge AI tool or enhancing an existing product, we can help you design experiences that delight users and drive business success.

Need a UX designer for your AI product? Let’s talk. Get in touch with UX GIRL today and let’s build something great together!

Begin your design adventure now!
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