“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
closeing x icon

Contact us

Please tell us a bit about your project idea and we’ll get back to you as soon as possible.
Tell us about your project idea
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
closeing x icon
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.

Title Image for this blog post

Innovation

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

reading time  - clock - icon
WSTAW

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.

Skipping UX might seem like a cost-saving move, but it often leads to lost users, lower revenue, and expensive fixes. Discover why UX is a smart business investment—not an optional expense.
reading time  - clock - icon
5 min

The cost of not doing UX

Many organizations still view User Experience (UX) research and design as an optional expense rather than a critical investment. This mindset often results in products that frustrate users, leading to lost customers, decreased revenue, and reputational damage. While cutting UX from the budget may seem like a short-term win, the long-term consequences often prove far more costly. In this article, we’ll break down the financial and strategic impact of poor UX and why investing in it is essential for sustainable business growth.

The Illusion of Cost Savings vs. Hidden Expenses

Skipping UX in the early stages of development might seem like an easy way to save money, but this approach typically results in greater costs down the line. Without proper research and user testing, companies risk creating products that are confusing, inefficient, or frustrating to use. As a result, businesses often experience higher customer support demands, as users struggle to complete tasks or encounter roadblocks in the product.

Beyond operational costs, poor UX contributes to higher churn rates, as users abandon difficult-to-navigate platforms in favor of more intuitive alternatives. Additionally, fixing UX issues after a product has launched is significantly more expensive than addressing them in the design phase. Studies have shown that post-launch fixes can cost up to 100 times more than resolving the same issues early in development (source UXPA). A weak UX strategy not only drains resources but also weakens customer trust, making long-term success harder to achieve.

The Cost of Poor UX: Breaking It Down

Failing to invest in UX doesn’t just affect a product’s usability—it impacts nearly every aspect of a business. Here are some of the most critical ways that poor UX damages growth and profitability:

  • User Abandonment & Churn – When users struggle to complete tasks or navigate an interface, they leave. Research suggests that nearly 88% of online consumers are unlikely to return after a frustrating experience.
  • Lost Revenue Potential – A seamless, user-friendly experience can significantly boost conversions. Some studies estimate that optimizing UX can improve conversion rates by as much as 400%, directly impacting sales and sign-ups.
  • Brand Reputation Damage – Poor experiences don’t go unnoticed. Negative interactions drive customers to share complaints online and with their networks, making it harder to attract new users. Studies indicate that unhappy users share bad experiences with others at a much higher rate than those who have positive experiences.
  • Increased Development & Support Costs – The longer UX issues go unresolved, the more expensive they become. Fixing usability flaws during development is far cheaper than correcting them after launch, where rework costs can multiply dramatically. Additionally, poor UX leads to more customer service inquiries, increasing operational expenses.
  • Inefficient Internal Processes – A lack of UX planning can create bottlenecks in development, requiring teams to scramble to fix usability problems instead of focusing on innovation and growth.

Why Investing in UX Pays Off

Prioritizing UX isn't just about making a product look good—it’s a strategic decision that directly impacts the bottom line. Research indicates that companies that invest in UX enjoy a significant return on investment, with some reports estimating an ROI of $100 for every $1 spent.

Beyond revenue, good UX minimizes operational costs by reducing the need for excessive customer support and costly redesigns. Companies that incorporate UX early in the development process save time and money while ensuring a better product-market fit.

Furthermore, UX-driven companies consistently outperform their competition. Studies have shown that businesses that focus on design and usability outperform industry averages and experience stronger long-term growth. Additionally, consumers increasingly value great user experiences, with a significant percentage stating they would be willing to pay more for a seamless and enjoyable digital experience.

Making the Business Case for UX Investment

Convincing leadership to prioritize UX requires shifting the conversation from design aesthetics to measurable business value. Here’s how to make a persuasive case:

  • Speak in Business Terms – Explain how UX improvements translate to higher revenue, improved retention, and reduced operational costs. Decision-makers respond best to data-driven arguments.
  • Demonstrate Small Wins – Start with minor UX optimizations that yield immediate results, such as reducing form fields on a sign-up page or improving a checkout flow. Small but impactful improvements can showcase the value of UX without requiring major investment upfront.
  • Use Data to Support Your Argument – Leverage A/B testing, heatmaps, and analytics to show how UX changes impact user behavior and key performance indicators like conversion rates and engagement.
  • Compare Against Competitors – Show how industry leaders have used UX to gain a competitive edge. Highlight case studies of companies that improved user experience and saw measurable business growth.
  • Tie UX to Key Business Metrics – Connect UX investments to essential KPIs, such as customer lifetime value (CLV), net promoter score (NPS), and overall conversion rates. When UX improvements are directly linked to business success, stakeholders are more likely to support them.

UX as a Competitive Advantage

In today’s digital landscape, businesses that prioritize UX set themselves apart from the competition. A strong user experience isn’t just about usability—it’s about delivering value, improving customer satisfaction, and driving sustainable business growth. Investing in UX isn’t a luxury; it’s a necessity for any company looking to remain competitive and profitable in an increasingly user-driven market.

adobe
reading time  - clock - icon
5 min

How to Add Adobe Fonts to Webflow: A Quick & Easy Guide

Typography plays a crucial role in web design, setting the tone for your brand and enhancing readability. If you’re using Adobe Fonts and want to integrate them into Webflow, you can do so easily with Webflow’s built-in Adobe Fonts integration. In this guide, we’ll walk you through the process step by step.

Why Use Adobe Fonts in Webflow?

Adobe Fonts offers a vast selection of high-quality typefaces, making it an excellent choice for designers who want unique and professional typography. Unlike Google Fonts, Adobe Fonts come with Creative Cloud subscriptions, ensuring premium font choices without additional licensing concerns.  

Step 1: Get Your Adobe Fonts API Token

Before you can add Adobe Fonts to Webflow, you’ll need an API token:

  1. Log into Adobe Fonts and sign in with your Adobe Creative Cloud account.
  2. Search for the fonts you want to use.
  1. Click on a font, then select “Add to Web Project” and give your project a name (e.g., "My Webflow Site").
  1. Copy Your API Token from the Adobe Account Settings > API Tokens section.

Step 2: Connect Adobe Fonts to Webflow

Once you have your API token, follow these steps:  

  1. Go to Webflow Site settings and navigate to the Fonts section.
  1.  Paste the API Token into the Adobe Fonts Integration field
  1. Click "Save & Refresh Fonts to sync your Adobe Fonts with Webflow.

Step 3: Apply Adobe Fonts in Webflow

Now that your fonts are linked, you can use them in your Webflow project:  

1. Open the Webflow Designer and select any text element.  

2. Choose your newly imported Adobe Font in the Typography settings.

3. Apply the font to the text  elements or set it globally for consistency.  

Step 4: Publish and Test

Once your fonts are applied, **preview your site**, publish it, and check that the fonts display correctly. If they don’t appear, try refreshing your Webflow project or clearing your browser cache.

Conclusion 

Integrating Adobe Fonts with Webflow allows you to create a polished, professional look for your website. By following these simple steps, you can ensure seamless typography that enhances your design.  

plus
reading time  - clock - icon
5 min

Forms of Collaboration Between Development Agencies and Designers – Pros and Cons of Each Model

Collaboration between development agencies and designers is crucial for creating modern, functional digital products. Whether it’s websites, mobile apps, or e-commerce systems, design plays a significant role in the success of the final product. Depending on the project's needs and the agency's specifics, there are several models of working with designers. Each has its own pros and cons, which are worth considering before making a decision.

1. In-House Designer

Many developers prefer hiring designers as full-time employees. This form of collaboration ensures a constant presence of UX/UI specialists within the company, facilitating project implementation and communication.

Pros:

  • Consistent Collaboration: The designer is always available and engaged in projects from start to finish, which fosters better team integration, a deeper understanding of client needs, and greater control over the entire process.
  • Knowledge of Company Specifics: An in-house designer is more familiar with the company culture, processes, and technological preferences, which can lead to faster and more efficient project execution.
  • Better Team Synchronization: An in-house designer works closely with the development team, allowing for easier communication and faster problem-solving.

Cons:

  • Cost: Hiring a full-time designer comes with additional costs such as salary, benefits, and training, which can be burdensome for smaller companies without a steady flow of projects.
  • Limited Variety: A designer working exclusively for one agency may, over time, stop seeking innovative solutions, becoming less attuned to emerging industry trends.

2. Freelancers

Freelancers are independent professionals who offer their services on a project-by-project basis. This is a popular form of collaboration, especially for shorter and more flexible projects.

Pros:

  • Flexibility: You can hire a freelancer for a specific project, offering great flexibility. The collaboration can be tailored to current needs without long-term commitments.
  • Access to Diverse Talent: Freelancers often work with various clients, allowing them to gain broad experience and stay up to date with new trends.
  • Lower Costs: Compared to hiring a full-time designer, working with a freelancer can be more cost-effective, as you only pay for the completed task without needing to cover benefits.

Cons:

  • Lack of Availability: Freelancers may be juggling multiple projects at once, leading to delays in communication or task completion.
  • More Challenging Communication: Remote collaboration can pose communication challenges, especially if the freelancer operates in a different time zone. This requires good planning and work organization.
  • Less Engagement: Freelancers may not be as deeply invested in the project as a full-time designer, which can affect the quality of the work delivered.

3. Outsourcing to a Design Agency

Outsourcing design to an external agency is a popular option, especially for companies that need comprehensive design services on a larger scale. Design agencies can take full responsibility for the visual aspects of a project.

Pros:

  • Comprehensive Services: Design agencies typically offer a wide range of services – from UX research, wireframes, to final mockups and prototypes, allowing for high-quality project execution.
  • Experts in the Field: Specialized design agencies employ top-tier professionals who stay updated on trends and technologies, translating into high-quality projects.
  • Project Management: In outsourcing, the design agency manages the entire project process, which can relieve the development agency and allow it to focus on programming.

Cons:

  • Higher Costs: Working with an external design agency can be expensive, especially for small companies. Design agencies often charge higher rates for their services.
  • Less Control: External agencies work independently, which may limit the ability to closely monitor the project. Communication issues can affect the alignment of the final result with the client’s expectations.
  • Longer Response Times: External agencies may have different priorities or workloads, potentially leading to project delays.

4. Hybrid Collaboration

The hybrid model combines different forms of collaboration, such as a development agency employing a designer part-time while hiring freelancers or design agencies for larger projects.

Pros:

  • Flexibility and Availability: It allows for adjusting design resources according to the current needs. For more complex projects, additional freelancers or design agencies can be brought in.
  • Cost Optimization: The agency can manage costs effectively by combining steady collaboration with flexible contracts. There’s no need to maintain a large full-time design team.
  • Access to a Wide Range of Talent: Collaborating with freelancers and external agencies provides access to different specialists depending on the project’s needs.

Cons:

  • Team Management: The hybrid model can be more challenging to manage, especially when working with multiple people simultaneously. This requires good organization and communication skills.
  • Varying Quality: Working with multiple designers can lead to inconsistencies in the projects. Each designer may have a different working style, which can affect the final visual outcome.

Conclusion

Choosing the right model for collaborating with designers depends on several factors, such as the size of the agency, the number of projects, the budget, and the nature of the work. Each of the above models has its advantages and disadvantages, which should be carefully considered before making a decision. The key is to match the form of collaboration with current needs and business goals to achieve the best results.

Begin your design adventure now!
Contact us