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— 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.

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Innovation

AI Tools for Visual Creativity: From Pixels to Art (Part 1)

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The number of AI tools is growing every week, and this trend is unlikely to change any time soon. Rather, we expect the use of AI algorithms and models to trend even further. The creators of almost every application we know are trying to use AI in their products in one way or another and not be left behind in this crazy technological race.

Today, practically every tool used for editing photos or videos can boast that it allows retouching or background removal with just one click. Almost every text editor allows for content generation based on a typed prompt. We can generate ideas, summarize articles, or write them in full by entering only a simple instruction. Tools from Microsoft or Google use AI models for data analysis, creating summaries, charts, and suggesting various solutions. Browser plugins allow for automatic email responses, or analyzing a page for SEO or conversion purposes. It's easy to create a video where we can speak in any foreign language, and no one will even realize that we don't know that language. People in business, marketing, creative fields, bloggers, artists, writers, data analysts, literally everyone can speed up their work today by taking advantage of AI benefits.

However, because there is so much choice, it's easy to become simply overwhelmed by it all. In the end, instead of speeding up our work and being like all those super-productive people who flood us with posts on LinkedIn or X (formerly Twitter), we don't know where to start and what tool to choose. We don't know what is actually worth attention and what should be avoided. I think it's obvious that if everyone started implementing AI in the solutions they offer, among the quite large number of great tools we will also find those that are still a long way from actually helping us. Many tools available on the Internet are still just cool toys, but when it comes down to it, unfortunately, we wouldn't want to use their results in our business.

Sure, there are a few tools that everyone talks about, tools that are currently enjoying a triumph of popularity, and therefore they must be the best. To a large extent, it's hard to disagree, but even these theoretically best tools have their drawbacks and won't always be suitable for what we specifically want to do. Additionally, there's the issue of cost, or what the entry threshold is to achieve really solid results. Besides, if we dig a little deeper, we'll find a range of products that are really quite good and often allow for quick completion of a specific task for free.

For the purposes of this article, we tested several dozen different AI tools ourselves and chose those that, in our opinion, really do the job or are simply worth keeping an eye on because they are developing in an interesting direction.

We decided to split the article into two parts. Firstly, to examine the recommended tools more closely and discuss, in our opinion, all the essential aspects. Secondly, to avoid boring you and not take up too much of your time. Shorter content will be easier to digest. So, in the first part, which you are reading now, we will present the first 5 tools. The next 5 will be in the second part. We recommend reading both, as it is in the second part that we will describe the less obvious tools.

Additionally, both parts will primarily focus on tools that specialize in working with images and videos. Topics like working with text, music, or enhancements in AI for productivity will be addressed in separate posts.

We will start with 3 well-known and recognizable tools that, in the context of generating and editing images, have recently become what ChatGPT is in the context of generating text. Even though probably everyone knows or is familiar with how they work, we believe that a post about AI tools omitting the most important players would simply be incomplete. Setting aside the various downsides of each tool, this trio really deserves special recognition!

Midjourney

If we talk about generating images using AI, one of the first names that comes to mind is indeed Midjourney. Not without reason, as it is currently one of the best tools for creating images based on a typed prompt.

Currently, the most advanced and latest version is Midjourney V5.2 released in June 2023. However, it's worth keeping your finger on the pulse because it has just been announced that Midjourney V6 will see the light of day before Christmas 2023... we can't wait to see what the creators have prepared for us this time!

Midjourney, in addition to standard image generation, offers a bunch of interesting functionalities that diversify and improve the target results, namely:

  • Additional parameters - we have at our disposal a large number of various parameters that we can add to the prompt, thereby deciding, for example, what proportions the generated image should have, what elements it should not contain, what the image quality should be, or how much we want to deviate from the prompt and rely on the tool's creativity (level of artistry and abstraction).
  • Zoom Out - a feature that allows you to generate content around an existing image without changing the original. We can understand this as a literal zooming out, seeing what is beyond our frame - the tool enlarges the area/canvas of our photo and in a sense 'draws in' what is not visible. It works extremely well. I think many of us have taken a photo where a key part of the frame was accidentally cut off - now we can fix that!
  • Pan - similar to Zoom Out, but this time we can ask to generate a fragment of the image only in a specific direction.
  • Upscaler - the ability to enlarge a photo without losing quality.
  • Vary - the ability to generate new suggestions only for a given part of the image based on our selection. We can, for example, generate a robot and then select only its head and replace it with something else.
  • Video generation - in our opinion, some time is needed to refine this function, perhaps it will work much better in Midjourney V6. At this point, we have many tools that simply do it better.

What distinguishes Midjourney from the competition is primarily realism, refined compositions, attention to detail, and high-quality generated images.

However, Midjourney also has its disadvantages, and we are not talking about the price.

  • Reduced precision - in contrast to, for example, DALL-E 3 (which I'll discuss in a moment), Midjourney does not always adhere to the user's instructions and intentions. Sometimes the generated images significantly deviate from what we entered in the prompt. The tool allows for quite a bit of creative freedom.
  • Problem with generating text in images - this may be a limitation for some users, instead of text we often get some random shapes and smears.
  • Limited availability - the tool operates through Discord, which is not a major issue, but we realize that this may discourage some people. But, according to the latest news, it will change soon. 7 days ago Midjourney has begun testing an “alpha” version of its new website which includes image creation. For now, it’s accessible only for users who have generated 10000+ images.
  • Content Censorship - Midjourney implements content censorship that may be restrictive for users seeking complete creative freedom.
Cost

From $96 to $1152 per year (depending on the chosen subscription plan).

DALL-E 3

A product from OpenAI, which until recently couldn't really compare to what Midjourney offers. However, everything changed with version 3, namely DALL-E 3.

The tool is available as part of a ChatGPT Plus subscription or for free as part of Bing's Copilot service from Microsoft. It can be said that the fact that we can generate images completely free of charge is a huge advantage, but DALLE-3 also deserves recognition for several other reasons:

  • High quality of generated images - it's not yet the realism and attention to detail as seen in Midjourney, but the results are really impressive.
  • Precision - DALLE-3 is great at interpreting user intentions and reproducing entered prompts. Here it fares much better than Midjourney, offering a high degree of accuracy in realizing the users' vision.
  • Ability to generate text on images - unlike the competition, DALL-E 3 easily incorporates text into its graphic creations.
  • Ease of use - unlike traditional image generators that require specific prompts or instructions, DALL-E 3 allows users to interact through conversation, making it more accessible and intuitive.

The main downside of DALL-E 3, in our opinion, remains a certain limitation in generating realistic creations. Images generated using DALLE-3 have a specific style, and despite their excellent quality, it is often easy to notice that a given graphic was generated by AI.

In addition, our editing options are quite limited, i.e. we cannot, for example, correct a fragment of the generated photo. In this case, you need to regenerate the entire image and hope that the model goes in the right direction.As with Midjourney, DALL-E 3 is quite a heavily censored image generator, especially when used inside ChatGPT.

Cost

$20 per month, included in ChatGPT Plus. Free in Bing's Copilot.

Adobe Firefly

Adobe probably needs no introduction and it is also easy to guess that this technological giant has not been left behind in this race.

Adobe Firefly is actually a family of generative artificial intelligence models, offered as a separate product on the website https://firefly.adobe.com or in the form of functionalities integrated into various Adobe applications.

By entering the mentioned website, we currently have the following features available:

  • Text to image - a classic image generator, based on a typed prompt, similar to DALL-E 3 and Midjourney. However, what sets Adobe's approach apart is the remarkable simplicity of the tool. Initially, we get a simple text field to enter our instructions - there are no options for entering parameters, uploading files, etc. After generating images, we do receive an intuitive editing panel, where we can adjust our results. Besides numerous sliders, we get many predefined options that allow for adding specific effects, setting lighting, composition, color scheme, choosing between a more artistic approach and realism. We can also upload an image as a reference, then the algorithm will adjust subsequent results to the style of our reference.
  • Generative fill - this tool allows for modifying images using brushes and selection tools. We can remove objects from an image, generate new elements in the selected area, remove the background, etc. Image editing enters a completely new dimension, namely, for example, in a few seconds we can remove someone who accidentally appeared in the frame, or add sunglasses that we forgot to wear. In our opinion, it is better to use this functionality directly in Adobe Photoshop, where it offers much more.
  • Generative recolor - the tool allows you to automatically recolor vector images based on the entered prompt. Thanks to this, we can adapt the illustration to, for example, match a specific mood or theme.
  • Text effects - allows you to generate text with a specific visual effect, e.g. you can enter "Hello, my name is Stephany" and ask for the letters to be covered with eucalyptus leaves or to look like they are embroidered. In our opinion, it's still just a cool toy and not something we want to use every day.

What is fantastic about Adobe's solutions is that AI functionalities are also available directly in their applications.

In Adobe Photoshop, we have access to the already mentioned Generative fill with some enhancements. Specifically, we can use options like expand. Similar to the zoom-out and pan functions in Midjourney, here we can also generate something beyond the canvas area, allowing us to freely 'expand' our images.

In Adobe Illustrator, the most interesting option is generating vector illustrations using a prompt. This is a revolutionary approach to graphic design. We no longer need to know how to draw to prepare a beautiful illustration for a website or a book.

Additionally, there are also AI enhancements in Adobe Premiere Pro and Adobe Express, but we won't elaborate on that here.

What also deserves attention is the issue of ethics and copyright. Adobe trains its models based on licensed content from Adobe Stock and public domain content, where the copyright has expired. This means that everything we generate is based on data sets collected in a fully ethical manner, and the complete copyright of the produced image belongs to the generator.

In conclusion, Adobe offers its users a lot. After testing all the AI features, we can confidently say that the quality and results are really good, and this is complemented by ease of use and integration within Adobe's flagship applications.

Downsides? At this moment, we can point out three things that may discourage potential users, namely:

  • Although the generated images are really good, they still are not at the level of Midjourney. Adobe is characterized by a certain style, and this is often visible in the generated creations. Often, the results can seem too 'candy-like'.
  • In the case of Midjourney and DALL-E 3 within ChatGPT, we deal with quite strong censorship. However, it seems that Adobe Firefly leads in this regard. The censorship from Adobe is really significant and can often be a limitation. For example, attempts to generate creations using words like 'soldier' or 'bikini' are futile.
  • Adobe Firefly operates on a generative credits system, providing users with a set amount of image generations and edits. This means that users have a limited number of uses. Of course, additional credits can be purchased, but in our opinion, this could ultimately be more expensive than, for example, a Midjourney subscription. If someone is already paying for a Creative Cloud subscription, they are allotted a certain number of credits.
Cost

Varies according to the country. Has a free tier.

Leonardo.Ai

Another fantastic and rapidly developing tool is Leonardo.Ai. It is essentially a web application (along with an API) created by independent creators and based on Stable Diffusion models. Similar to the previous three applications, it allows for image generation and editing.

What characterizes this application is the ability to change the model used to generate our images. At the moment, we have access to dozens of models - some of them simply differ in version (older, newer), but others are models specifically trained for generating images with certain characteristics. For example, we can choose a model tailored for generating photorealistic images or a model that generates isometric views.

At the moment, among the most important functionalities of Leonardo.Ai we can distinguish:

  • Image Generation - generating images based on a textual prompt. Similar to Adobe, we have an intuitive panel with a range of additional options to customize our instructions.
  • Live Canvas - an interesting feature that allows for generating an image in real time based on what we are currently drawing. Of course, we can fully edit everything, determine the level of consistency with our sketch, and so on. At the moment, it's more like a toy, but it's developing in a very good direction.
  • Canvas Editor - an extensive editing environment that allows you to manipulate imported images. Removing unwanted objects from the photo, generating image fragments, adjusting the proportions, etc.
  • 3D Texture Generation - generating and modifying textures based on imported OBJ files. It can help, for example, in preparing game assets.
  • Motion - generating videos based on a textual prompt, the functionality is expected to be available in the near future.

The main drawback is that most of the features is locked in the free version of the tool. However, the tool itself, although heavily limited, remains available without the need to purchase a subscription. Every day, we have access to a total of 150 tokens, which we use to perform various actions in Leonardo.Ai. Not all actions consume the same number of tokens, e.g. high-resolution images cost more.

Cost

From $12 to $60 per month. Has a free tier.

HeyGen

Have you ever wondered what it would be like to speak fluently in dozens or even hundreds of foreign languages? HeyGen is a tool that won't teach you to speak these languages, but it will create the impression that you are using them perfectly.

HeyGen is currently one of the most popular and best-known tools for creating video avatars. We have quite a few interesting features at our disposal, allowing us to create professional videos based on a clip recorded by us, written text, and/or recorded audio. There are several combinations, including:

  • Creating a video avatar based on one of over a hundred available avatars and your own text or audio file.
  • Creating a completely custom avatar based on a provided video clip and your own text or audio file.
  • Translating a provided video into over 40 available foreign languages with lip-sync technology. The final result looks very natural.
  • Changing or improving your voice or generating audio for the entered text.

The tool has incredible potential in the field of marketing, promoting products, preparing offers, or training materials. From now on, you can, for example, put a video on your website where you talk about your product in Korean. The applications are enormous.

Cost

From $29 per month. Free plan for 1-min max duration video per month.

That's all the tools in this part. To read about the remaining 5, please visit the second part.

Besides, stay tuned and remember that these are still just tools. How we use them and whether they benefit us depends entirely on us. Thankfully, as of now, the most powerful tool at our disposal remains the human mind.

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5 min

UX in B2B Products – How to Measure Its Impact on Sales and Retention

In the B2B world, where purchasing decisions are more complex and sales cycles significantly longer than in B2C, UX investments can be difficult to justify. After all, a “nice interface” doesn’t close a deal. But the truth is different — well-designed UX in B2B products has a measurable impact on both sales and customer retention. The key is knowing how to measure that impact and translate it into actionable business metrics.

UX in B2B as a Sales Lever

Unlike consumer products, B2B solutions are often complex, involve multiple stakeholders, and require longer implementation periods. And yet — or perhaps because of that — good UX can accelerate purchasing decisions and reduce customer acquisition costs. Here's how:

  • Streamlined user journeys and clear information architecture help prospects quickly understand the product's value.
  • Self-service product exploration reduces the burden on sales teams — according to Forrester, 60% of B2B buyers prefer doing their own research over speaking with a salesperson
  • A polished, professional user experience increases trust in the product, a key decision factor in B2B deals.

Take Salesforce as an example — after redesigning their reporting interface, the adoption rate for the feature increased by over 30% in a single quarter, directly impacting upsell revenue.

UX Has a Strong Influence on Retention

Customer churn is a major concern for many B2B products. And often, the reason isn’t clearly visible. Users don’t always report their issues — they just stop using the product. That’s why poor UX is often a silent churn driver.

Conversely, features designed around actual user workflows become essential tools. The easier it is to accomplish everyday tasks, the more likely users are to stick around.

In SaaS, where long-term customer relationships drive profitability, retention can yield higher returns than new acquisition.

How to Measure UX Impact on Sales and Retention

While UX is often viewed as a “soft” discipline, its outcomes can — and should — be tied to hard metrics. Here's how you can break it down:

🔹 Metrics Linking UX to Sales:

  • Trial-to-paid conversion rate – improved onboarding increases perceived value faster.
  • Abandonment rate in purchasing funnels or sign-up flows – indicates UX friction points.
  • Sales cycle length – shorter decision timelines can point to clearer UX.
  • Demo/self-service lead volume – a UX that enables self-selling supports the sales pipeline

🔹 Metrics Linking UX to Retention:

  • Net Promoter Score (NPS) – gauges long-term user loyalty; UX has a strong influence.
  • Customer Satisfaction Score (CSAT) – short-term satisfaction after key interactions.
  • Feature adoption rate – shows which features users actually engage with. Low usage often signals UX barriers.
  • Churn rate correlated with usage activity – users abandon products when the experience gets in the way .

Implementing UX Measurement in Practice

Measurement is only useful when it informs action. Here’s how to implement UX measurement in your organization:

  1. Foster collaboration between UX, product, sales, and customer success – UX needs to align with business goals.
  2. Use analytics tools like Hotjar, Fullstory, or Pendo – they allow you to capture user behavior and identify friction.
  3. Establish benchmarks and run experiments – A/B tests and UX iterations help validate changes.

What’s Next?

Rather than viewing UX as a cost, treat it as a strategic growth driver. If you have a B2B product and you can’t answer the question “how is UX impacting my revenue?” — it’s time to start tracking the right data.

At UX GIRL, we help B2B companies measure and improve their product UX to directly support conversion and retention. Whether it’s audits, onboarding redesigns, or analytics setup — we translate UX improvements into business results.

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5 min

UX and AI Ethics: How to Build Interfaces with Responsible Trust

Do your users trust your AI?
In a world filled with chatbots, predictive engines, and recommendation systems, simply having AI is no longer enough. What truly matters now is trust—not blind trust, but responsible trust built on clarity, transparency, and control.

For Product Owners, Project Managers, CTOs, and team leaders, this means one thing: UX must align with AI ethics. Why? Because poor design choices in AI experiences don’t just harm usability—they erode brand trust and can directly impact user retention and conversion.

Responsible Trust – The New UX Imperative

AI increasingly operates behind the scenes—suggesting, sorting, interpreting, and nudging. But users often don’t understand how or why these systems make decisions. That’s where responsible trust comes in.

According to the Nielsen Norman Group, responsible trust means designing systems so users clearly understand their purpose and limitations—enabling confidence without false certainty.

In short, it’s about building ethical, transparent AI that earns—not demands—user trust.

The Ethical Pitfalls of AI Interfaces

Many AI-powered interfaces unintentionally fall into problematic patterns that damage trust:

  • The “black box” problem – Users can’t see how AI reaches decisions.
  • Over-anthropomorphizing AI – Interfaces make it seem like AI “understands” or “feels.”
  • Hidden automation – No clear indication when AI is acting on behalf of the user.
  • Data bias – Algorithmic decisions based on skewed or non-representative training data.

These issues may seem subtle, but they deeply affect how much control and confidence users feel when interacting with your product.

6 Principles for Designing Ethical AI Interfaces

To foster responsible trust, teams must intentionally embed ethics into UX decisions. Here are six key principles:

  1. Explainability – Help users understand why AI made a recommendation. Tools like IBM’s AI Explainability 360 support this.
  2. Transparency – Clearly indicate when AI is in use and how it influences outcomes.
  3. Consent and control – Give users options to disable or adjust AI functionality.
  4. Disclose limitations – Be upfront about what AI cannot do or might get wrong.
  5. Avoid manipulation – Don’t use dark patterns that nudge users toward AI-driven decisions.
  6. Contextual sensitivity – Match AI guidance to the level of risk and user expectations (e.g., banking vs. entertainment apps).

Applying these principles shifts the AI-user relationship from passive dependency to informed cooperation.

Case Studies in Responsible UX for AI

Ethical AI design isn’t just theory—some companies are already doing it well.

Google has adopted a set of AI Principles that guide their product and UX decisions, emphasizing transparency and fairness .

Duolingo provides a great example of ethical AI in action. Its chatbot tutor clearly discloses it’s an AI and transparently explains how it generates suggestions—building trust without overpromising.

In contrast, when ChatGPT was initially used for health-related queries without clear disclaimers, it led to serious misunderstandings. OpenAI’s subsequent updates added explicit warnings, underlining the need for transparency in sensitive use cases.

Ethical UX = Smart Business

Responsible AI isn’t just a moral obligation—it’s a strategic advantage.

A 2023 McKinsey report found that organizations applying ethical AI practices see higher user satisfaction and loyalty, especially when users feel in control and informed .

For small and medium agencies, product teams, and tech leaders, investing in ethical UX is an opportunity to stand out—by creating AI that users genuinely trust.

UX and AI Collaboration: A Shared Responsibility

Embedding ethics into AI UX isn’t the job of designers alone. It requires alignment across:

  • UX teams, who identify interaction risks and trust gaps.
  • Data and engineering teams, who expose model limitations and explainability.
  • Product Owners and CTOs, who enforce responsible standards in delivery.

To measure trust effectively, consider tracking UX KPIs like perceived control, user comprehension, and clarity of AI outputs.

What You Can Do Today

Ready to build more trustworthy AI experiences? Start with these five practical steps:

  1. Audit your AI touchpoints – Where is AI active in your product? Do users know?
  2. Identify trust risks – Any hidden automation, unexplained decisions, or black-box moments?
  3. Add layers of explainability and transparency – via tooltips, visual cues, or summary screens.
  4. Train your team – Make sure designers, PMs, and devs understand AI ethics fundamentals.
  5. Test for trust – In usability testing, ask: “Do users feel informed? In control? Safe?”

Conclusion

Designing AI interfaces is not just about function—it’s about responsibility.
Trust doesn't emerge on its own—it must be intentionally designed.

If your goal is to create products that are future-proof, user-friendly, and competitive, then embedding ethical UX practices into your AI features isn’t optional—it’s essential.

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5 min

Gherkin for UX? How Designers and Agile Teams Can Finally Speak the Same Language

In the high-speed world of Agile, where user expectations evolve faster than sprint cycles, clear communication is not just a nice-to-have — it’s critical. Yet even in well-functioning teams, UX designers and developers often struggle to stay perfectly aligned. The result? Beautifully crafted prototypes that don’t quite behave as intended once implemented, or ambiguous flows that leave testers guessing.

Enter Gherkin — a simple, structured language that can help bridge the gap between design, development, and product.

What is Gherkin (and why should UX designers care)?

Gherkin is a structured, plain-language format used to write behavior-driven development (BDD) scenarios, typically used by QA and dev teams to write automated tests. But its value goes far beyond testing.

Its real strength lies in its simplicity — it describes user behavior in a "Given–When–Then" format, making it the perfect candidate for aligning cross-functional teams around how a feature should behave.

Example:

This isn’t code — it’s user intent, written in plain English. And that makes it a powerful communication tool for designers.

How UX Designers Can Use Gherkin to Document Intent

Designers don’t need to become developers to leverage Gherkin. Instead, they can use it to clearly define interaction logic — supplementing wireframes, prototypes, and user flows with behavior-driven context.

By embedding Gherkin-style scenarios into design documentation or user stories, designers ensure that the team understands not just what the interface looks like, but how it should behave.

Here’s a UX-specific example:

This format reduces ambiguity and ensures that design intentions translate into correct implementations.

What’s in it for your team (and your bottom line)?

Introducing Gherkin into the UX process may feel like an extra step, but it pays off. Studies show that reducing ambiguity in handoffs and requirements can lead to major efficiency gains.

  • Fewer misunderstandings: A McKinsey report found that companies improving requirement clarity saw up to a 40% increase in team productivity (Source: McKinsey & Company).

  • Faster onboarding: Gherkin scenarios give new team members immediate context for how the product should behave.

  • Better alignment with business goals: Stakeholders can validate behavioral flows early — even before development starts.

  • Improved testability: QA teams can use Gherkin to write automated or manual tests directly aligned with design.

Gherkin becomes a shared language between design, product, dev, and QA — cutting down feedback loops and minimizing rework.

How to Start Using Gherkin in Your Design Process

You don’t need to overhaul your workflow overnight. Start small:

  1. Pick one key user flow — such as login, checkout, or onboarding.

  2. Write 1–3 scenarios in Given–When–Then format.

  3. Share them during refinement or planning with developers and testers.

  4. Attach the scenarios to your design files or link them in your backlog.

This lightweight addition can dramatically improve alignment — even in teams that already communicate well.

Design Is Behavior — Not Just Visuals

UX is about more than how things look — it's about how they work. While wireframes and prototypes show structure and visuals, they often leave room for interpretation when it comes to logic, rules, and edge cases.

Gherkin helps designers express interaction logic in a way that’s unambiguous and testable. And in an Agile team, that means fewer assumptions, faster delivery, and better user outcomes.

At UX GIRL, we encourage product teams to experiment with Gherkin as a way to reduce misalignment and build stronger bridges between design and development. You don’t need to be technical — you just need to care about clarity.

What’s Next?

Ready to give your design handoffs a boost? Start with a single Gherkin scenario for your next feature. Use it to open a conversation between design, dev, and QA. You might be surprised how quickly your team aligns when you’re finally speaking the same language.

Need help integrating UX practices like Gherkin into your Agile process? Reach out to UX GIRL — we help teams turn design decisions into product clarity.

Begin your design adventure now!
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