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

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

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

What Are ChatGPT Apps and the Apps SDK?

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

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

The Core Design Principles from OpenAI

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

Clarity is key

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

Respect the user’s intent

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

Make progress visible

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

Minimize user effort

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

Be consistent

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

Fail gracefully

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

How Product Teams Can Apply These Guidelines

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

1. UX-aligned development workflow:

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

2. UX checklist for Product Owners:

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

The Unique UX Challenges of Designing Inside a Chat Interface

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

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

Final Takeaways

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

At UX GIRL, we recommend:

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

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

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

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

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

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

User Testing: The Sanity Check

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

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

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

Finding the Balance: The Optimal Approach

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

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

The Takeaway

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

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Midjourney is an innovative tool based on diffusion technology that allows you to generate images using artificial intelligence from descriptive text inputs, also known as prompts. This tool makes it possible to bring nearly any creative vision to life on screen.

In addition to creating images, Midjourney serves as a great source of inspiration for further creative work. However, to use it effectively, it’s important to understand how to craft prompts and make the most of its features.

How to Write an Effective Prompt?

A prompt is a text description that Midjourney uses to generate an image. Here are a few key guidelines to help you craft the perfect prompt:

1. Be Specific

Describe exactly what you want to see. Avoid vague language or ambiguous terms. Instead of writing "cats," try something more detailed, like: "Photorealistic portrait of three Persian cats with blue eyes."

2. Use Keywords

Incorporate keywords relevant to the effect you want to achieve, such as realistic, moody, minimalistic.

3. Effective Descriptions

Terms like "dreamy," "realistic," or "painterly" can significantly influence the style of the generated image. However, don’t overuse descriptive terms to avoid overwhelming the final output.

4. Context, Not Instructions

Focus on describing the context of the scene (e.g., sunset over a lake) rather than technical instructions. Concentrate on atmosphere, composition, and mood rather than creating overly complex command sequences.

5. Experiment

Small changes in the prompt can greatly affect the result. Gradually adjust single elements to better understand how each change impacts the final image.

What to Include in Your Prompt?

When creating a prompt, consider including the following elements to precisely define your expectations:

Subject: person, animal, character, object

Medium: photo, painting, illustration, sculpture

Scenery: indoors, outdoors, underwater, urban setting

Lighting: ambient, neon, overcast, studio lights

Mood: calm, energetic, nostalgic

Composition: portrait, close-up, bird's-eye view, detailed shot

Midjourney Parameters — The Key to Greater Control

Aspect Ratio --ar

The default aspect ratio for images is 1:1. If you need different proportions, use the --ar parameter, e.g., --ar 16:9 for a widescreen format.

Stylize --s (0-1000)

The --s parameter controls the level of stylization. A higher value allows Midjourney to add more creative interpretation to your prompt. At a higher setting, you may see intricate details like reflections, fireflies, or embellishments.

Note: Stylize is not the same as Style!

‍Chaos --c (0-100)‍

The chaos parameter generates varied interpretations of the prompt. A value of 100 produces very different versions of the image, which can be useful for brainstorming and exploring different concepts.

Weird --w (0-3000)

This parameter generates unusual and unexpected interpretations of your prompt. It’s ideal for creating unconventional and avant-garde visuals.

Style --style

The --style option allows you to select a specific style mode. The "raw" style generates unembellished images closely matching the prompt, while the "niji" style is ideal for anime and comic-inspired visuals.

Speeding Up Your Midjourney Workflow — Functional Parameters

Repeat --repeat

This parameter allows you to generate multiple images based on the same prompt in one go, - - repeat 3 allows you to create 12 images. 

Permutations {}

Permutations allow you to generate multiple variations of a prompt at once. By listing options in curly brackets, such as Spring {morning, sunset, night}, you will receive images corresponding to each variant.

Tile --tile

The --tile parameter creates seamless, repeating patterns. Make sure that the design elements in your prompt can form a cohesive pattern.

No --no

If Midjourney persistently adds an unwanted element to your image, you can use the --no parameter to exclude it, e.g., --no text to remove text overlays.

Conclusion

Midjourney offers virtually limitless creative possibilities — from simple illustrations to intricate and inspiring artwork. The key to success lies in experimenting with prompts and parameters. The more familiar you become with the tool’s features, the more control you will have over the final output. Let your creativity flow and have fun creating images that match your vision!