“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.

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Innovation

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

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3 min
Author picture
  • Learn how AI is transforming visual creativity.
  • Discover popular AI-powered design tools.
  • Explore opportunities for faster content creation.
  • Understand how AI supports creative professionals.

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.

A digitally rendered image of a diverse group of about fifteen children sitting or standing in a brightly lit, futuristic classroom or science lab. They are gathered in a circle around a glowing, holographic display of a human head with a detailed, illuminated brain inside, representing neuroscience or AI education

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.

A digitally rendered, highly detailed image of various wild animals, including a prominent lion, several tigers, giraffes, and zebras, gathered in a lush, idealized savanna landscape with a small stream, large acacia trees, and mountains in the background, set up as a photo backdrop or mural

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.

A graphic, stylized illustration in warm, muted colors featuring a large tiger with dark purple and pale yellow stripes standing in a savanna landscape. The background includes acacia trees and abstract, orange-and-purple mountainous formations under a muted gray sky

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.

Screenshot of the Leonardo.AI interface for 'AI Image Generation,' showing the prompt 'face builded from rectangles, white background, minimalistic, Picasso style, vivid colors, pink, blue, orange,' and the resulting four generated images of abstract female faces composed of geometric shapes in a Picasso-inspired style

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.

Screenshot of the HeyGen platform interface, specifically the 'Voice' section, showcasing a selection of available AI voices (e.g., Tony - Professional, Jenny - Professional, Sara - Cheerful) categorized by language, gender, and use cases, with the main section encouraging users to 'Let Your Unique Voice Shine Brilliantly

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.

Author picture
He specializes in UX/UI design, interaction design, and scalable design systems. His expertise includes interface architecture, AI-assisted design workflows, and creating intuitive digital products that combine usability with modern technology.
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5 min

Design Debt: When to Redesign vs. When to Iterate

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Over time, digital products accumulate design debt-incremental changes, quick fixes, and legacy decisions that gradually degrade the user experience. This often results in a fragmented, inconsistent interface that frustrates users and complicates workflows. Organizations face a critical dilemma: should they invest in a full redesign or make iterative improvements to refine the existing system?

A complete overhaul can be costly, risky, and disruptive. It requires significant resources, may alienate existing users, and can introduce new usability challenges. On the other hand, continuous iteration allows for gradual refinement but risks perpetuating flawed design foundations. The key to making the right decision lies in assessing the extent of design debt, understanding its impact, and weighing the costs and benefits of each approach.

Understanding Design Debt: The Silent UX Killer

Design debt accumulates in several ways:

  • Quick fixes and workarounds often address immediate needs but create long-term usability issues
  • Legacy design decisions may no longer align with user needs or technological advancements
  • Inconsistent UI patterns emerge when multiple teams contribute without a cohesive design system
  • Lack of user feedback loops results in decision-making based on assumptions rather than data

Ignoring design debt can lead to a frustrating user experience, increased support costs, and lost revenue. Indicators of high design debt include frequent user complaints, declining conversion rates, and significant usability issues that require extensive workarounds.

The Case for Iterative Improvements

When the core UX remains functional but users experience friction in specific areas, iteration is often the best approach. This method allows teams to make targeted enhancements without disrupting familiar workflows. Iteration works well under several conditions:

  • Users struggle with specific pain points that usability testing can pinpoint and address
  • Minor UI inconsistencies create confusion but do not fundamentally hinder functionality
  • Data-driven insights suggest small optimizations can improve engagement and conversions
  • The current system remains scalable and does not impose excessive technical constraints

Successful iteration requires a structured approach-identifying pain points, testing solutions, and continuously refining the design based on real-world feedback.

The Case for a Full Redesign

Sometimes, design debt reaches a point where incremental improvements can no longer salvage the user experience. When usability flaws are deeply embedded in the system, a redesign becomes the only viable option. This is particularly necessary when the product relies on outdated technology that restricts innovation, when maintaining the existing system incurs higher costs than rebuilding, or when competitors offer a far superior UX that threatens market relevance.

However, redesigns come with substantial risks. A poorly executed overhaul can alienate loyal users, disrupt workflows, and lead to significant financial setbacks.

One infamous example is Digg’s 2010 redesign. Digg, once a popular social news aggregator, launched a drastic redesign (Digg v4) that removed key features users loved, such as the ability to view upcoming stories before they became popular. The new version was seen as prioritizing publishers over its core community, leading to a massive user exodus. Within weeks, competitors like Reddit saw an influx of former Digg users, and Digg’s traffic plummeted. This serves as a cautionary tale of how failing to align a redesign with user needs can have catastrophic consequences.

In contrast, Airbnb’s methodical redesign, informed by extensive user research, showcases how a well-planned revamp can drive engagement and growth. In 2014, Airbnb redesigned its search and booking experience to better accommodate user preferences and enhance visual storytelling. The redesign incorporated high-quality photography, improved filters, and a more intuitive booking flow. By leveraging A/B testing and gathering extensive feedback before the full rollout, Airbnb ensured a smooth transition, resulting in increased user satisfaction and higher conversion rates. Their data-driven approach demonstrates how a well-executed redesign can elevate a product without alienating its user base.

Making the Right Call: A Decision Framework

Deciding between iteration and redesign requires a structured evaluation process. Companies should begin with an in-depth usability audit, assessing the severity of design debt through usability scores, conversion rates, churn data, and direct user feedback. Identifying whether the primary issues are surface-level or deeply rooted in the system will clarify whether an iterative approach suffices or a full redesign is necessary.

If usability issues are isolated and correctable through focused adjustments, iteration is likely the better route. Teams should establish clear KPIs and user experience benchmarks to measure the success of iterative changes. Small-scale A/B testing can validate improvements before full implementation, reducing risks and allowing for incremental refinements.

For cases where fundamental usability issues persist, a redesign may be necessary. However, it should be approached methodically—by conducting thorough user research, prototyping potential solutions, and testing new designs before a full-scale launch. A phased rollout can mitigate risk, ensuring that users adapt smoothly and reducing potential backlash from drastic changes.

Beyond usability concerns, business strategy and technical feasibility should guide decision-making. If the current system lacks the flexibility to support long-term innovation, redesigning may be the only viable choice. However, if technical constraints are manageable and the UX can be improved without significant disruption, iteration offers a lower-risk alternative.

Conclusion: Strategic UX Decision-Making

Ultimately, the decision to iterate or redesign depends on the severity of design debt and its impact on users. While iteration allows for gradual enhancements, a full redesign is sometimes the only way to break free from foundational issues. Businesses must take a data-driven approach, leveraging usability testing and user feedback to guide their choices. Regularly auditing design debt ensures that user experience remains a priority and prevents the need for drastic interventions. By making strategic UX decisions, organizations can sustain product growth while maintaining an intuitive, user-friendly interface.

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5 min

How Much Can It Cost to Add a UX and Designer to a Project?

When planning a budget for a new project, we often try to find the right balance between quality and cost. Including UX specialists and designers in the team is sometimes seen as an extra expense, but is it really a cost, or rather an investment? The answer depends on several key factors, which I’ll discuss below.

1. Direct Costs: Salaries

The cost of hiring UX and design specialists varies based on their level of experience and the market they work in. For instance, hiring a less experienced designer typically requires a lower monthly investment, while bringing on a more seasoned professional can significantly increase salary expenses. Freelancers, on the other hand, often charge on a per-project or daily basis, with rates that can fluctuate widely depending on the scope of the work. While these expenses may seem substantial at first glance, they often provide a strong return on investment when considering the overall impact on the design process.

2. Hidden Costs: Problems Without UX and Design

Lack of UX and designers can lead to numerous issues that significantly increase the final project costs:

  • More iterations and revisions: Without clear design that addresses user needs, the project may require multiple changes during development. Each of these iterations means extra time spent on fixes, and time equals money.
  • Poor user experience: A poorly designed interface, unintuitive navigation, or lack of visual consistency can turn users away, leading to low conversion rates, poorer business outcomes, and in extreme cases, the need to redesign the entire project.
  • Inefficient use of resources: Developers might waste valuable time solving problems that stem from a lack of a well-thought-out UX architecture instead of focusing on delivering valuable features.

3. Costs That Save Money in the Long Run

Involving UX and design experts may increase upfront costs, but it prevents much higher expenses down the line. Thoughtful design and optimizing the user journey can minimize the need for future fixes and reduce the cost of technical support.

Additionally, a well-designed product is more likely to succeed in the long term, which means higher revenue and greater customer satisfaction.

4. Example Costs at Different Project Stages

The cost of adding UX and design specialists also depends on the stage of the project:

  • At the beginning: This is when UX and design costs are most efficient. Specialists have an impact on the entire product architecture, preventing many mistakes down the line.
  • During the project: The cost might be higher because fixing design errors once development has started is often more time-consuming.
  • After launch: The highest costs occur when redesigning a product after it’s already live, and users are reporting issues. This is the most expensive scenario and can consume a significant portion of the budget.

5. Is It Worth the Investment?

In summary, adding UX and design specialists to the project is an investment that can save money in the long run. The cost of hiring specialists is significantly lower than the potential losses from lack of UX optimization or the need to redesign the entire system.

With their help, you’ll not only reduce the number of iterations and fixes but also create a product that meets user needs and generates profits for the business.

Panel discussion participants during EX FEST Round Table #1 about the future of design agencies an AI.
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5 min

What We Learned at EX FEST Round Table #1: How Agencies Are Changing the Design Market for Business

The design industry is evolving at an unprecedented pace. Artificial intelligence, changing client expectations, and the growing demand for measurable business outcomes are redefining what it means to be a designer in 2026.

These topics took center stage during Round Table #1: How Agencies Are Changing the Design Market for Business, hosted as part of EX FEST – Experience Festival.

Representing UX GIRL, Magdalena Ostoja-Chyżyńska, CEO & Founder, joined Ilona Skarbowska, Krzysztof Miotk, and Michał Madura for an insightful discussion led by Monika Mikowska on how agencies, design teams, and businesses are adapting to a rapidly changing digital landscape.

Design Is No Longer Just About Great Experiences

One of the strongest messages from the discussion was that design has become a strategic business capability.

While creating intuitive and engaging user experiences remains essential, today’s organizations expect design teams to contribute much more. Designers are increasingly involved in product strategy, business decision-making, customer research, and innovation. Their work is measured not only by usability or visual quality but also by the value it creates for users and the business.

AI Is Reshaping Design Workflows

Artificial intelligence is transforming the way design teams operate.

Rather than replacing designers, AI is becoming a powerful tool that supports ideation, research, content creation, prototyping, and repetitive tasks. This shift enables designers to spend more time solving complex problems, collaborating with stakeholders, and focusing on strategic thinking.

The conversation highlighted that embracing AI is no longer optional—it has become an essential part of modern design workflows.

Why Being “Just a Designer” Is No Longer Enough

The role of designers has expanded significantly over the last few years.

Beyond visual and UX skills, professionals are expected to understand business objectives, communicate effectively with cross-functional teams, facilitate workshops, analyze data, and demonstrate the impact of their decisions.

Today’s most successful designers combine creativity with strategic thinking, adaptability, and a deep understanding of both users and business goals.

Agencies Are Evolving Together with Their Clients

As businesses continue to face new challenges, agencies are evolving alongside them.

Modern design agencies are no longer simply delivering interfaces or visual assets—they are becoming strategic partners that help organizations solve complex business problems, accelerate innovation, and create products that deliver measurable value.

The discussion emphasized that collaboration, flexibility, and continuous learning will define the future of successful design teams.

The Audience Joined the Conversation

One of the highlights of the session was the live Q&A, where attendees had the opportunity to ask questions and share their own perspectives on the future of UX, AI, and product design.

The interactive discussion demonstrated that the design community is eager to exchange knowledge, challenge existing approaches, and learn from one another as the industry continues to evolve.

Thank You, EX FEST

We would like to thank EX FEST – Experience Festival for bringing together industry experts and creating a space for meaningful conversations about the future of design.

A special thank you to everyone who joined the session and contributed to the discussion. Conversations like these inspire new ideas, strengthen the design community, and help shape the future of our industry.

Missed the Live Discussion?

If you couldn’t join us live, you can still catch the full conversation.

Watch Round Table #1: How Agencies Are Changing the Design Market for Business to hear insights from Magdalena Ostoja-Chyżyńska (UX GIRL), Ilona Skarbowska, Krzysztof Miotk, and Michał Madura as they discuss the future of design, the impact of AI, evolving client expectations, and the growing business value of UX.

🎥 Watch the full recording on YouTube:
https://www.youtube.com/live/VDjHm_2RNKI

Begin your design adventure now!

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