“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 designer and client collaborating on a design together

Innovation

Building an AI Product? Here’s Why You Can’t Ignore UX Design

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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 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.

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.

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.

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.

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!

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5 min

How to Design Apps with OpenAI Apps SDK: UX Guidelines for Product Teams

Conversational AI has changed the rules of user experience. With OpenAI Apps SDK, teams can now create embedded applications that live directly inside ChatGPT — offering users seamless, intelligent, and contextual support.

But building these apps isn't just about writing smart code. It's about designing meaningful, intuitive interactions. That’s why OpenAI published official design guidelines — and why UX GIRL is here to help you translate them into real results.

What Are ChatGPT Apps and the Apps SDK?

ChatGPT apps are mini-tools that users can access directly in the ChatGPT interface. They allow users to perform tasks, analyze data, create documents, fetch information from external sources, and more — all within the flow of conversation.

The Apps SDK lets developers define these app interactions using JavaScript while maintaining full compatibility with the ChatGPT interface. But to deliver real value, apps need to feel intuitive — and that’s where UX comes in.

The Core Design Principles from OpenAI

OpenAI’s UX guidelines are built on six core principles. Here’s what they mean in practice, with insights from the UX GIRL team:

Clarity is key

Your app’s interface must clearly communicate what it does, how it works, and what users can expect. Avoid vague labels or overloaded screens. Guide users with simple language and clean layout.

Respect the user’s intent

Let users take the lead. Your app should support user goals, not hijack the conversation. Avoid aggressive prompts or forced flows.

Make progress visible

Users need feedback. Loading indicators, success confirmations, and microinteractions help users trust the process — especially in a conversational UI.

Minimize user effort

Reduce friction wherever possible. Use smart defaults, context-aware suggestions, and auto-filled values to streamline user input.

Be consistent

ChatGPT has a defined look and tone — follow it. Use system UI components and maintain consistency in voice, spacing, and layout.

Fail gracefully

Errors are inevitable. Design them to be informative and friendly. Offer users clear explanations and next steps without making them feel lost.

How Product Teams Can Apply These Guidelines

Following these principles doesn’t require a full UX overhaul — but it does require strategic thinking. Here are two practical ways your team can implement them:

1. UX-aligned development workflow:

  • Define realistic user conversations and app responses early.
  • Prototype conversations using mock UIs or prompt flows.
  • Test early and often — even with basic, Wizard-of-Oz style setups.
  • Build in real-time feedback elements (confirmation messages, visual states).

2. UX checklist for Product Owners:

  • Does the user always know what they can do next?
  • Are all actions and outcomes clearly explained?
  • Is app progress or system state visible?
  • Is tone and layout consistent with ChatGPT?
  • Do error messages guide users constructively?

The Unique UX Challenges of Designing Inside a Chat Interface

Unlike traditional apps, ChatGPT apps don't rely on menus, tabs, or visual hierarchies. Users interact through text — with fluid, nonlinear intent. This makes context one of the biggest UX challenges.

Small design gaps (e.g., unclear responses or missing context) can lead to confusion. That’s why good conversational design includes scenario testing, intelligent defaults, and visible state changes — even without a traditional UI.

Final Takeaways

Designing inside ChatGPT isn’t just about building functionality — it’s about earning user trust through clarity, empathy, and consistency.

At UX GIRL, we recommend:

  • Start with a small MVP to test a focused user goal.
  • Use OpenAI’s design principles as a design audit tool.
  • Involve UX early — especially for dialogue design and testing.
  • Don’t rely on AI to do everything. Guide the user intentionally.

Building with Apps SDK? Let UX GIRL help you design AI-powered experiences that convert, engage, and delight.

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UX/UI Trends to Implement in 2025: Driving Results Through Innovation

In today’s fast-paced digital world, UX/UI isn’t just about aesthetics—it’s a strategic differentiator. Implementing cutting-edge design trends in 2025 can boost user satisfaction, drive conversions, and deliver measurable ROI.

1. AI‑Powered Hyper‑Personalization

Adaptive interfaces fueled by AI analyze user behavior, context, and preferences in real time—adjusting layouts, content, and navigation dynamically. Studies show 80% of consumers are more likely to purchase when they receive personalized experiences. Examples like Netflix and Spotify reinforce this trend, tailoring content and design to individual users .

2. Advanced Micro‑Interactions

What were once simple hover effects evolve into context-aware, AI-driven feedback loops—and even haptics and sound cues—that guide user flows, reduce cognitive load, and add delight. Research shows thoughtful micro‑interactions correlate with higher engagement and retention.

3. Voice & Conversational Interfaces

Voice UIs and chatbots are becoming mainstream. By 2025, over half of households are expected to have a smart speaker. Designing voice-first experiences requires accounting for diverse speech patterns, context switching, and cultural nuances .

4. Inclusive & Accessible Design

Inclusive design goes beyond compliance; it centers diverse user needs—from visual and cognitive to situational constraints. Brands that prioritize accessibility gain all users—not just those with disabilities:

  • Accessible design has yielded a 58% conversion uplift for some major retail clients
  • Forrester found a remarkable $100 ROI for every $1 spent on accessibility
  • Companies adopting inclusive design practices report 1.6× more revenue and 2.6× higher net profit

5. UX for AI‑First Products

As AI-powered tools become ubiquitous, UX must enable transparency, overview, and control. Research highlights AI as a creative partner—supporting ideation and iterative design workflows . Additionally, generative AI enables multimodal interfaces—integrating voice, visuals, and text for seamless cross-platform experiences.

How to Implement These Trends Without Breaking the Bank

To integrate these innovations efficiently:

  1. Begin with accessibility audits and low-cost improvements (e.g., alt text, color contrast).
  2. Launch pilot personalization features on high-impact pages (e.g., product pages, onboarding).
  3. Add select micro‑interactions on critical user flows (e.g., form submission buttons, success screens).
  4. Prototype a minimal voice or chatbot interaction for common tasks (e.g., search, FAQs), and test with real users.
  5. Apply AI tools to assist designers—generating layout variations, content suggestions, and micro‑interaction options that accelerate iteration.

Conclusion & Next Steps with UX GIRL

Embracing AI-driven personalization, thoughtful micro‑interactions, conversational interfaces, inclusive design, and AI-first UX supports both user satisfaction and tangible business gains.

Next steps:

  • Conduct a single-page audit to identify low-hanging UX wins.
  • Run small-scale pilots (e.g., personalized hero banners, chatbot interfaces).
  • Measure impact on key KPIs: engagement, conversion, retention, and accessibility compliance.

At UX GIRL, we help teams, from Product Owners to CTOs, implement these strategies with rigorous UX research, rapid prototyping, and data-backed iteration. Together, we’ll make 2025 the year your UX truly delivers business results.

Let’s talk about your UX roadmap for next year—reach out to UX GIRL to explore tailored strategies.

Is it possible to move fast without sacrificing user experience? Learn how to balance speed and user testing through smart strategies that help teams build better products—faster and more thoughtfully.
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"Move Fast" Culture vs. Thorough User Testing

We’ve all been there: the pressure to launch, the push to get a product out the door, and the ever-present question of "how fast can we make this happen?" In today's fast-paced market, the pressure to "move fast" is immense. We understand the drive to launch quickly and iterate rapidly. However, at UX GIRL, we believe that speed shouldn't come at the expense of user experience. The question isn't speed versus quality, but rather how to achieve both.

The "Move Fast" Mindset: A Double-Edged Sword

The "move fast" approach offers undeniable advantages. Speed is a crucial asset, as rapid development enables companies to respond quickly to market changes and gain a competitive edge. It also fosters continuous improvement, allowing teams to release products quickly and refine them based on user feedback and data insights. Additionally, adaptability is a key benefit, as an agile development process allows for quick adjustments to shifting market demands and user needs. Moreover, launching early provides an opportunity for rapid validation, enabling companies to test ideas in real-world scenarios and iterate efficiently.

However, if not carefully managed, this approach can lead to significant pitfalls. Rushed development often results in buggy products, which can damage a brand’s reputation and frustrate users. A lack of user research increases the risk of missing the mark, leading to products that fail to meet user expectations or solve real problems. Decision-making bias can also become a challenge, as relying solely on a team’s instincts—without validating ideas through user testing—can result in poor product decisions. Furthermore, a culture that prioritizes speed above all else may inadvertently devalue user research, causing teams to overlook critical insights that could enhance the user experience.

User Testing: The Sanity Check

On the other side of the coin is user testing—the practice of ensuring that real people can effectively use a product. When done correctly, user testing leads to happier users by making sure products are intuitive, meet expectations, and solve real problems. It also provides invaluable insights, uncovering usability issues that may not be apparent to the development team. By identifying potential roadblocks early, user testing helps save both time and money, preventing costly redesigns and delays.

Beyond cost savings, user testing fosters a deeper understanding of user behavior and preferences, giving teams the data they need to make informed decisions. A well-tested product results in an improved user experience, which in turn boosts conversion rates and overall satisfaction. 

On the other hand, mid-size user studies involving 10 to 20 participants can take anywhere from a few weeks to several months to complete. The process requires careful planning, participant recruitment, test execution, and analysis, leading to substantial financial investments. While the upfront cost may seem high, the cost of skipping it is far greater. In 2020 alone, poor software quality cost U.S. companies an estimated $2.08 trillion, according to a CISQ report. Fixing bugs post-release is not only significantly more expensive but also more time-consuming, making proactive user testing an essential investment.

Finding the Balance: The Optimal Approach

So, which approach should you take? The truth is, it’s not an either/or situation. The best strategy is to find a way to balance the need for speed with the necessity of user-centered design. Here’s how we can do it:

  • Rapid User Testing: Consider different levels of service to meet different project needs, like support evaluations, consultant interviews, and one-day sprints. Incorporate RITE (Rapid Iterative Testing and Evaluation) testing, which involves quick cycles of testing, making changes, and re-testing. This approach lets you address issues as they appear and iterate quickly
  • Prioritization is King: Focus testing on critical features, aligning with business objectives, and deadlines. Use tools like impact-effort matrices or RICE scoring.Use tools like the impact-effort matrix, RICE method, or MoSCoW analysis to help you prioritize
  • Mix it Up: Combine qualitative and quantitative methods for a holistic understanding. Qualitative testing provides insight into user emotions and experiences, while quantitative data tracks task completion rates and error frequencies.
  • Test Early, Test Often: The best thing to do is to gather feedback throughout the design process. Consider conducting ethnographic research to understand user needs before beginning any design work
  • Debrief and Document: Hold post-testing debriefs and document findings for the entire team

The Takeaway

The "move fast" culture and user testing don’t have to be enemies. By integrating rapid user testing methods, prioritizing initiatives, and using a mixture of qualitative and quantitative feedback, you can be fast and user-centric. This approach helps to avoid expensive errors and ensures that you build products that people actually want to use. It’s all about working smarter, not just faster. And remember, there’s always room to grow!

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