A UI/UX design agency is basically a team of experts who research, design, and test digital products to actually get them working for real people. They cost between $10k and $500k+ depending on what you need, and 2-12 weeks for most projects, and choosing the right one can make or break your product’s success.
(more…)Author: Kenny Amaro
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Visual Communication vs UI/UX Masters in 2025
The other day while talking with a fellow designer, I just asked him, if you had the chance to choose right now between Visual Communication vs UI/UX masters, which would you choose?
His answer was that the only smart move now is going for UI/UX master degree, he also told me “UX designers are more demanded right now and well paid”…
I disagree, not from an economic stand point, but because I don’t think you should be looking for a degree basing solely on money, you could become a frustrated professional if you think like that, in fact; I was that frustrated professional when I start working as a designer (that story deserves another article).
While the balance is inclined for UX in terms of Salary, there is plenty of opportunities out there for both master degree graduates, In this article I will be trying to cover everything from:
- The different between both degrees
- Curriculums
- Real economy impact for both
- Salaries
and my experience as an employee for both.
Before diving into the differences, I will go with a more personal question
Who are you as a person?
ok, I admit that’s deep, that question usually divides into some others:
- What are your main values?
- What set of skills do you have?
- How do you see yourself in the coming years?
All of those questions will help A LOT to decide whether to choose one or the other.
Once you have that solved, then the natural coming question is how that answer is aligned with the career path you are choosing. If you are gonna be an Engineer you need to have a specific set of values like honesty, discipline or teamwork, oppositely if you are gonna be a lawyer you need to have justice, integrity or courage. As you see, both are different. Something as simple as knowing your values makes the whole difference, for that reason my first advice:
Know yourself.
The decision between these two career paths represents more than just academic programs.
They are two different philosophies of design, on one hand, Visual Communication is all about the art of the message, while UI/UX focus on the science of the experience
Right now, both are growing fields, with Visual Communication Design Services projected to grow at 7% through 2033, and UX Designer positions with salaries of more than $90k (see sources at the end of this article)
As you see, both good opportunities for a career, now let’s dive deeply in into the differences:
Understanding the Fundamental Difference: Art vs Science of Design
While I was researching for this article, I realized universities usually don’t care about a congruent career path, I mean, it is not like all the curriculum will be perfectly structured, sometimes they fall into the “trendy” area, they just insert subjects to grab attention which leads to graduate testimonials like,
“The course was too vague”
This Visual Communication vs UI/UX Masters comparison becomes even more important when universities don’t always provide clear career paths. In my opinion it all depends on the university, some offer a social impact output, others strategic and business thinking and others advanced graphic design skills and tools.
But regardless of the university they all share common values (which obviously may vary depending on the output). To make your life easier, I just created a list of values for both graduates. I know this is useful because if I only had this list when I graduated, I would probably choose UX 🙂.

🎨 Values of a Visual Communication Master Graduate
- Creativity → if you are that friend that always have an idea.
- Aesthetics & beauty → if you feel uncomfortable after looking for a terrible restaurant menu.
- Clarity → if this sentence resonates with you “ok, let me explain you”
- Cultural sensitivity → You basically care about cultural stuff people usually don’t notice.
- Expression → If you truly think that there is a value in expressing your real self.
- Storytelling → if you are telling a story but you value every step (for those whom intros are longest than the story itself LOL)
🖥️ Values of a UI/UX Master Graduate
- Empathy → if you actually feel and understand other people feelings and needs
- Accessibility & inclusion → if you care that everyone deserves the same amount of spaghetti
- Functionality → if you complain because movie theaters don’t have an armrest per sit (if you know what I’m talking about)
- Simplicity → the word is already saying it…
- Iterative improvement → if you rewrite the same text message three times before sending it.
- Problem-solving → if you used to solve your friend problems (and you were good at it)
This saves time but is not enough, let’s now be more specific about the skills you will be developing.
Visual Communication skills
In short: the skills you will develop depends on the university, as I said before they can offer different outputs, regardless of that I can tell you a range:
- Advanced graphic design skills
- Typography and layout
- Editorial design (print and digital)
- Branding and motion graphics
- Visual Storytelling
- Critical analysis
- Project management
- Strategic thinking
- Creative direction
- Methodologies
- Academic Research
- Art direction
- Video and Photography
As you see, by doing a master in this field you will be developing a broad skill set. My advice is to always try to look for advice, if the university is on the same country, try to visit, understand what is the offer, what current students are thinking about the career, download or check for master curriculums and go to forums to read for graduate opinions this will help you understand the MA focus.
UI/UX design skills
In contrast, the skills you will develop while coursing a UI/UX master are not that wide and focus on usability and problem-solving. The entire field is built on User-Centered Design (UCD) created by Don Norman which is like the father of UX. It is basically a framework that puts its attention on user goals, user journey and solutions on every step of its journey.
So, a UI/UX masters program typically covers:
- Product strategy
- User Research Methodologies
- Data Analysis
- Information Architecture
- Design Thinking Frameworks to design creative solutions
- Wireframing and Prototyping (Creating testable design concepts before full implementation)
- Visual Design (for interfaces)
- Interaction Design (Designing systems to be experienced over time)
- Usability testing (to iterate on designs)
Ok, so we have covered values and skills, let me ask you: until now, do you notice any difference? simple:
Visual communicators create stuff to be consumed
UI/UX designers create to be experienced.
But here’s a fact, good visual communicators create products to be well experienced, and good UI/UX designers are the bridge between business and user, which means they also have to think and create products to be consumed.
Now that we have this clear let’s dive into the curriculum for both masters, which are a little bit complex
Visual Communication vs UI/UX Masters: Curriculum Face-Off Explained
Let me break down for you what you’ll actually be learning in each program.
First of all, it wasn’t an easy task, universities do a good job hiding their program information behind a form submission or several pages of information.
So, if you had the same experience as me, I got you…finding the nuances is not that simple.
Visual Communication Curriculum
An actual VC curriculum is not a fixed set of subjects, universities have different ways to approach a VC, ohio university for example have 4 different kind of VC base on the output, others have one kind but with a broad set of subjects. I will try to give you at least core components that all may have.
Core Academic Components:
- Design Theory and History: You will dive into deep design concepts, art history, and critical studies that will provide you with cultural context for your work
- Advanced Media Skills: you will send your current design skills to the next level (if you come from an artistic or graphic design career): digital fabrication, video art, printmaking and illustration
- Strategic Design: Combining a little bit of business and managing brand experiences
Project-Based Learning: As a student, you will develop a professional portfolio or an academic report through a “special project” that often culminates in a design solution with themes like education, health, and social impact.
UI/UX Core Curriculum
I think these programs follow a more structured approach than the VC one, even though in practice UX/UI can have different curriculums, they are complementary and merged.
Research (Good UX designers have a good research foundation):
- User Research and Analysis: Learning to conduct qualitative and quantitative research, develop personas, and create journey maps
- Usability Testing: Running user tests to validate design decisions with real user data
- Data Driven Decision Making: Converting research insights into design strategies
Technical Implementation:
- Information Architecture: Structuring content and functionality for optimal user navigation
- Interaction Design: Creating intuitive digital interfaces and micro-interactions
- Front-End Collaboration: Some programs include HTML, CSS, and JavaScript fundamentals to improve developer collaboration
Methodology Focus: UI/UX have an iterative approach focusing in design cycles: research & analyze -> design -> test ->improve. So in your day to day as a UX designer you will be basically following that pattern (if you find a good company/team).
Now that we’ve covered the curriculum differences in Visual Communication vs UI/UX Masters, let’s talk about what really matters to most people:
Visual Communication or UI/UX Masters: The Real Career Impact
(Salaries, Growth, and Market Demand)
Okay, let’s be real here. We all wanna know about the money, right? I mean, it’s likely one of the reasons that you’re reading this article. So I’ll give it to you straight regarding what you can expect in terms of salary.

Visual Communication Earning Potential
When I first started my career as a visual designer, I was making much less than what I’m about to tell you. But here’s what Visual Communication graduates can expect these days:
If you go the traditional route:
- Graphic Designer: around $71k (not bad for entry-level)
- Art Director: $95k (now we’re talking)
- Visual Designer: $76k (nice comfortable in-between)
But here comes the cool stuff – the new digital careers:
- Brand Designer: $78k-$95k (my dream job)
- Motion Graphics Designer: $68k-$85k (if you’re an After Effects enthusiast, this is the career for you)
- Creative Director: $110k-$150k+ (the dream career, but years of experience are needed)
The thing is, Visual Communication has such beautiful diversity. You can literally work anywhere – I’ve met VC graduates working in ad agencies (35% of them end up doing that), in-house marketing teams (28%), publishing (18%), entertainment and gaming (12%), and even government jobs (7%).
UI/UX Earning PotentialNow, this is where my designer friend wasn’t wrong about the Visual Communication vs UI/UX Masters salary differences. UI/UX people do make good money, and they make it faster. Look at this:
Entry to Mid-Level:
- UX Designer: $93k-$110k (yep, that’s entry level)
- UI Designer: $85k average (still not bad)
- UX Researcher: $106k (if you enjoy speaking with users)
Senior Level:
- Product Designer: $113k (the holy grail)
- Senior UX Designer: $122k (where experience really pays off)
- Senior Product Designer: $157k (the big leagues)
Leadership Level:
- UX Lead: $179k (leading teams and strategy)
What is interesting is that a little over 28% of UX/UI designers are employed in tech companies, 12% in finance, and 10% in consulting. It’s as if the entire world starting needed good user experience the last decade, and indeed it was like that, UI/UX is new, norman nielsen introduced the UX concept first time in the 90s so this is a 30 years old field, there is still enough time for this field to grow.
Where You’ll Actually Work (The Real Industry Breakdown)
VC graduates possess this amazing versatility. You can literally work anywhere:
Visual Communication Industries:
- Advertising and Marketing: This is where I began, designing campaigns that actually get people to stop scrolling (harder than it seems)
- Publishing and Media: If you’re that one person who gets frustrated by poor magazine layouts, this could be your calling
- Entertainment: Movie posters, game graphics, all that great stuff that makes you want to play or watch something
- Education: Designing stuff that actually helps people learn (very underappreciated field)
- Fashion and Retail: Building brands and making stores visually appealing (visual merchandising is an art)
UI/UX Industries:
UX people are pretty much everywhere nowadays:
- Technology: Obviously, the biggie here. If you love working with developers and product managers, you’ll be in your element
- E-commerce: Making sure people can actually buy things online without losing their minds (key skill)
- Healthcare: This is exploding. Think of creating apps that actually assist doctors in saving lives
- Financial Services: Banks finally figured out that their apps are awful, so they’re hiring UX folks to make them better
- Government: Believe it or not, governments are attempting to make their websites suck les
But let me share a secret with you: the lines are blurring like crazy. I’ve seen Visual Communication people jump into UX roles, and UX designers who become amazing at visual design.
AI and Emerging Tech: Reshaping Design Roles
Visual communicators and UI/UX designers are using AI as their daily helpers, and they will start using it more frequently, but I don’t expect in the near future to replace us. AI is basically reshaping both fields by transforming designers into a more strategic role. I expect to see more AI design tools that help designers create entire wireframes for example, so you will see designers shape their careers as orchestrators.
What is my honest conclusion about ai in design?: sometimes it produces good results, other times I want to throw my laptop in the trash. Anyway, here’s the short answer: AI is great for research, and good for certain analytical conclusions (if you use a good model). What AI is absolutely awful at: Understanding culture and context, creating emotionally resonant designs and strategic thinking and empathy (of course) I just wrote an article talking about this called “How Has AI Been Affecting UX Design?”
So do either Visual Communication or UI/UX, you’re set. AI can be your sidekick, but it will not be able to replace you in the human insight of what gets people going.
Real People, Real Stories (Because Examples Matter)
Visual Communication Success Stories:
- My friend Sarah made the switch from graphic design to Chief Creative Officer at a big tech company (it took her 8 years, but she achieved it)
- Another friend I know of continued to become Creative Director at a big ad agency and now leads campaigns for Fortune 500 companies
- One of my favorite success stories is someone who went on to become a Brand Strategy Consultant and works with huge brands
UI/UX Success Stories:
- There is this one guy who went on to be an Interaction Designer at Google (he just did the google UX design coursera certification, now leads teams)
- Somebody I am linked with on LinkedIn switched from junior UX to heading UX for government services
- A friend from a prior cohort now designs for a major ecommerce platform (amazon)
The thing is: both paths can have amazing careers. It’s a matter of what kind of impact you want to make.
So, How Do You Actually Decide?
Here’s where we get real. The Visual Communication vs UI/UX Masters decision ultimately comes down to self knowledge. Put the money aside for a second.

Ask Yourself These Questions:
When you see a terrible design, what bothers you more?
- That it’s ugly and doesn’t convey the message well? → You might be a Visual Communication person
- That it’s complicated and hard to use? → You might be a UX person
What makes you more enthusiastic?
- Creating something beautiful that conveys a message
- Solving problems that make people’s lives easier
How do you prefer to work?
- On your creative gut and sense of aesthetics
- Grounded in research and data to tell you what to decide
I wish someone would have asked me these questions when I was deciding. It would have spared a great deal of confusion early in my career.
The Future (And Why Both Paths Are Smart Decisions)
Here’s what I think will happen (based on what I’m seeing in the industry):
Visual Communication is becoming:
- Creative Strategy (AI can’t grok culture like humans do)
- Cross-platform storytelling (way more complex than it sounds)
- Brand experience design (visual and experiential thinking integrated)
UI/UX is becoming:
- Research leadership (guiding entire product strategies)
- Systems design (designing for complex, interconnected experiences)
- Ethical technology design (ensuring tech doesn’t harm people)
But the true secret is this: the future is hybrid designers. Visual Communication people who understand users, and UX people who can create beautiful, emotionally resonant interfaces.
The new opportunities I’m excited about:
- AR/VR design (needs both visual storytelling AND interaction design)
- AI-assisted design (someone needs to operate all these tools)
- Sustainable design (blending ethics with clear communication or user experience)
Visual Communication vs UI/UX Masters: my Final Thoughts my Final Thoughts
After writing all this out, here is what I want you to take away:
There are no good or bad choices here, both degrees are solid choices. Visual Communication gives you creative freedom and diverse opportunities. UI/UX gives you methodical problem-solving skills and (let’s be real) better starting salaries.
But the question is not so much which one is more secure or which one pays better. The question is: which one is more you?
If you’re still uncertain, here’s my advice: talk to people who do both jobs. LinkedIn reach-outs, coffee meetings for 15 minutes, shadow for a day if possible. The best career decision is an informed one.
And remember, whatever you choose, you’re not committed forever. I’ve changed directions multiple times in my career, and each twist and turn taught me something useful.
Most importantly? Start somewhere. Both paths will teach you skills that AI can augment but never replace: creativity, empathy, and strategic thinking.
Thanks for sticking with me through this comprehensive Visual Communication vs UI/UX Masters guide! I hope it clarified things for you.
FAQ (The Questions I Always Get)
Can I transition from Visual Communication into UI/UX later?Yes! I know many people who made this transition. Your design background actually gives you a huge advantage in understanding visual hierarchy and interface aesthetics.
Which is safer from AI takeover?Both are safe because they both require human skills AI cannot replicate. The key is to become a strategic thinker, not a task doer.
What about ROI? How soon will I get a return on my investment?UX people tend to have shorter returns (2-3 years), Visual Communication would be 3-5 years, but you have more career flexibility.
Why not just do a bootcamp?Bootcamps are great for getting job-ready fast, but master’s degrees give you the strategic thinking skills you’ll need for leadership roles in the future
Is remote work possible in both fields?Yes! Both careers adapted super well to working from home. UX maybe has a little more remote work since everything is digital anyway.
Sources & References
Salary Data & Industry Statistics:
- U.S. Bureau of Labor Statistics – Occupational Employment and Wage Statistics
- Built In – 2025 UX Designer Salary in US
- Glassdoor Salary Reports – Design Salaries 2025
- Archive Market Research – Visual Communication Design Services 2025-2033 Analysis
- Indeed Career Guide – Visual Communication Designer SalaryPayScale – UX Designer Salary Report
Academic Program Information (Visual Communication):
- Kent State University – Visual Communication Design MFA
- Rochester Institute of Technology – Visual Communication Design MFA
- Rhode Island School of Design – Graphic Design Master’s Programs
- University of Texas at Austin – MFA Curriculum & Courses
- Liberty University – Online MA in Visual Communication Design
Academic Program Information (UI/UX):
- University of Michigan-Flint – Master’s in Human-Centered UX Design
- Touro GST – M.S. in UX/UI and Interaction Design
- ArtCenter College of Design – Master of Design in Interaction Design
- University of New Haven – Master of Professional Studies in UX Design
Design Industry Research & Theory:
- LogRocket Blog – Visual Communication vs. UI/UX Design
- Scalability – Visual Communication vs. UI/UX: What’s the Real Difference?
- Interaction Design Foundation – What is User Centered Design (UCD)?
- Wikipedia – User-centered design
Career & Industry Insights:
- Noble Desktop – What Industries Are Hiring UX/UI Designers?
- Coursera – What Jobs Can I Get with a Graphic Communication Degree?
- Medium – The Future of Interaction, UX, and CX Design Jobs (2025-2030)
- UX Design Institute – Is the UX job market oversaturated? Outlook for 2024
AI in Design (Yeah, I Had to Include This):
- Coursera – How Has AI Been Affecting UX Design?
- My own previous research and industry observations
Graduate Education Resources:
- Designlab – Top UX Design Masters Programs to Elevate Your Career
- PageOn.AI – Is a Master’s in Visual Communication or UI UX Better?
- Kent State University – Thesis Projects
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How Has AI Been Affecting UX Design?
AI is changing UX, augmenting but not replacing designers
I’ve been working with AI for a while, sometimes It gives me really good stuff and some others I wanna send my laptop to the trash, neither way, here’s a short answer: good for research studies (good, not great, not excellent), nice for wireframing, and great for some kind of analytics conclusions. Unfortunately, it can also push teams toward look-alike interfaces and shallow decisions if you don’t rely on your own judgment to question AI outputs.
I use AI daily to draft personas, convert paper sketches into low-fi wireframes, export Google Analytics docs to have preliminary quick insights or even to some basic heuristic analysis. But no matter what, I always end up customizing and changing everything.
Our goal as UX designers HAS NOT changed: empathy, creativity, and ethical judgment is still part of our job and what make us human.
For me is simple: treat AI as a tool, be the orchestrator, and keep users at the center. My question for you is:
can AI actually understand complex human behavior/emotions?
What “AI in UX” really means in 2025 (and what it doesn’t)
I think AI touch three different points in UX
- Generative design support: writing, UI suggestions, wireframe starters, content variations, microcopy drafts.
- Decision support: summarizing qualitative research, clustering feedback, finding anomalies in event data, and early predictive signals.
- Experience delivery: personalization, recommendations, smart assistance, accessibility boosters (e.g., alt-text drafts, captions).
In short, AI deliverables are mainly drafts and by the time I’m writing this article, AI hasn’t being able to replace product thinking. I’ve tried “design from scratch” features and I can say they are useful to kick off but not to finish. AI Models tend to remix what already exists, so if you are looking for innovation you will have to watch again “Rugrats” Tommy’s father (notice my 90’s reference :D)
How I explain it to stakeholders: AI shrinks the time from question to a credible draft. It doesn’t shrink the time needed for validation, ethical review, or crafting a design that earns trust.
Where AI helps most today — how has ai been affecting ux design in practice
User research at scale
I add interview notes or survey comments into chatgpt so It can cluster themes for me and surface contradictions. It’s fast at “first-pass sense-making,” especially when I ask it to list evidence for and against a hypothesis. Buuuut, I still have to run a human pass to check for bias and missing voices, neither way I save hours of tedious sorting.
Low-fi to wireframe
This is my favorite: I sketch on paper, take a photo with my phone, and ask gemini to produce a basic wireframe that respects my hierarchy. I’ve done this with general LLMs and, with Figma’s AI features it’s a little bit complex, you have to give it a good prompt in order to work; both give me a bare-bones layout that I then refine, the benefit with Figma is that I can edit it. The key is starting from your own structure, not a model’s generic template.
If you ask me how this will escalate in the near future, I think we are moving into a mid fidelity wireframing, AI tools will be able to create more accurate wireframes based on our prompts.
Fast user test – AI feedback
For usability sessions, AI helps me condense all my notes into findings sort by task, quotes tagged by severity, and recommendations. But as AI can be biased, I always ask for a counter example so I don’t get a one sided story.
I take all this as a fast draft and not my final report, it helps me dealing with the blank page.
Time saving AI analysis
I export Google Analytics (or product event data) to Sheets/CSV and drop it into an AI assistant to generate hypotheses: “Which paths correlate with abandonment?” “What changed week over week after a release?” In more than minutes I can surface “hidden patterns,” then I verify with proper segmentation and sanity checks.
Accessibility boosters
AI is also nice for drafting alt text, summarizing long content, and proposing reading-level adjustments. Neither way I still do manual checks and of course where possible my recommendation is to do usability testing with assistive tech users because they are the final users.
Workflow examples you can copy (personas, paper-to-wireframe, GA→Sheets→Insights)
Persona draft prompts — how has ai been affecting ux design for research
AI is usually good for drafting personas and it can speed up your workflow, but you have to customize it with real data if you don’t want to end up having the same persona than Walmart.
Prompt pattern:
“Create 3 provisional personas for (whatever you need) for this specific audience: (explain a bit your audience). Use only the following documents as source of truth (upload research docs, transcriptions or online links). For each persona draft: goals, pain points, context of use, success metrics, and accessibility considerations. Flag assumptions you made. Also, please add 5 interview questions I should ask to validate.”I always end up rewriting names, challenging stereotypes, and creating real quotes. After all the benefit here is more time to focus in other stuff, remember, responsibility is always yours.
Paper sketch → AI wireframe → human iteration
This is specially useful If you need a generate ideas faster, e.g. a crazy 8’s session with your team (online)
- Paper sketch with labeled sections and priority.
- Google Gemini Prompt (faster with nano banana): “Convert this sketch to low-fi wireframe” Result:
- Upload to figjam and start voting
Paper sketch:

Result:

Image made with Google Nano Banana GA exports → quick wins
- Export key events and funnel data to Sheets.
- CHATGPT or Kimi: “Find segments with abnormal drop offs in the last 30 days; propose 3 hypotheses each; list needed follow-up analyses.”
- Validate with filters, compare against control periods, and check for tracking glitches.
- Turn only the validated insights into backlog items.
Be careful, due to models context window, AI tools not only do a good job in this task, so you can have to keep an eye on insights provided all the time.
Risks to look: hallucinations, bias, and the great UI look-alike problem
I witness how AI can reinforce stereotypes and start hallucinating from time to time. Is our responsibility as designers to not accept model defaults, to personalize your own experience with the model becasue homogenization is our antagonist and have the biggest risk to UX teams. ¿Interfaces that all look and feel the same? no thanks…
Anti-homogenization checklist
- Before even start prompting plan your own narrative (jobs to be done, constraints, brand voice).
- Try to search and look the best model for the task you want to accomplish.
- Force model “creativity”: ask for 3–5 distinct patterns and choose intentionally.
- Ban generic copy: replace placeholder microcopy with real voice and domain terms.
- Remember to all have a periodic bias audit: sample outputs for stereotypes, exclusionary language, and skewed defaults.
If my designs begin to “blend in” and AI start affecting the experience, I try to stop, take a rest and revisit my research artifacts because as designers we can get overwhelmed and start seeing good stuff where it isn’t
The UX Orchestrator: skills to build (AI literacy, prompts, data sense, ethics)
I know this will be hard to believe but our future is shifting from pure maker to orchestrator, AI will become incredibly good at technical stuff but AI will always need us for guidance for more integrated outputs, and to be the intermediary between business and users (as it is today). As you can see we are adding a new actor, the “AI” designer. To deal with all of this I’m actively cultivating the following skills:
- AI literacy: what the tools can and can’t do, and when not to use them.
- Prompt craft: I’m learning to build good prompt structures, constraints, and to refine outputs; trying to turn vague requests into valuable outputs.
- Data interpretation: To read the data with judgement and a little bit of logic, spot what might be skewing it, and know when a pattern you see is just noise, not a real connection.
- Ethics & safety:Learning to reduce bias helps you spot the most subtle ones in AI outputs. We also need to understand the implications of using AI directly on results and on the user, and how we can reduce risks and errors that affect the experience.
- Facilitation: Learning to guide cross-functional teams so they can evaluate AI outputs critically, challenge assumptions, and turn feedback into concrete design decisions, how? Through UX workshops, team meetings, and daily check-ins.
- System thinking: Develop the ability to see the product as a whole: set boundaries so AI-powered features integrate coherently, ensure consistency between them instead of scattered functions without a unified voice, and aim to avoid inconsistent experiences while maintaining a unity across all user journeys.
Finally and In practice, I “talk” to models like junior collaborators: set context, assign roles, ask for alternatives, demand sources, and always validate.
Tooling snapshot: Figma AI, ChatGPT/Gemini, Uizard, Hotjar/Qualtrics AI (when to use what)
Here is a list of tools so you can have a snapshot of AI tools that I use and why:
Use case Good starting tool(s) Why it helps What I still do manually Persona first drafts ChatGPT/Gemini Fast structure from messy notes Remove stereotypes, add quotes, validate with users Paper→low-fi wireframe Figma AI / Uizard / LLM + plugin Converts hierarchy to layout quickly Fix information priority, adjust flows, content strategy Microcopy variations LLMs + style guide Generates voice-consistent options Final tone, legal/compliance, localization Research synthesis LLMs with transcripts Clusters themes, finds contradictions Re-read critical quotes, check sampling Analytics triage GA → Sheets → LLM Surfaces anomalies, suggests hypotheses Verify segmentation, instrument events properly Accessibility boosts LLMs for alt text, summaries Drafts faster Manual testing with assistive-tech users I treat all of the above as assistive, never authoritative.
Measuring Impact (and Why It Matters)
This subject is important because AI integrated in UX isn’t just about speed—it’s about proving real value. That’s why measurement matters: it keeps AI from being just a shiny toy.
So… my suggest, just measure AI:
What to track
- Efficiency: How much time you save on repetitive tasks (summaries, first wireframes, copy drafts). Always compare before/after.
- Effectiveness: Does AI actually help users succeed? Check usability tests: task completion, error rates, time on task.
- Experience: Look at user sentiment (CSAT/NPS) where AI-driven changes go live. Are people happier, more confident, or more frustrated?
Why This Framing Adds Value.
If AI saves hours but doesn’t move success rates, that’s operational efficiency, not user value. Both are worth reporting, but don’t confuse one for the other.
This is what really matters to stakeholders: are we making the team faster, the product better, or both?A Simple Hypothesis Framework
- Hypothesis: “(ai name or tool or integration) (activity) will reduce (time) by X% without hurting (task success).”
- Evidence: Baseline vs. after-AI numbers, with sample size and caveats.
- Decision: Scale up if it works, tweak if mixed, or drop if it fails.
This way, AI measurement becomes part of product strategy in case you haven’t even considered.
Implementation Playbook: how to actually make it work
Prompts you can steal (and adapt)
- Research synthesis → “Group these interview notes into 4–6 themes. Show me quotes for each theme, and also what doesn’t fit or is still unknown.”
- Wireframe from sketch → “Turn this sketch into a mobile-first wireframe. Keep sections A, B, C in priority. Make buttons at least 44px. Export as components I can move in Figma.”
- Microcopy → “Give me 5 button label options in our brand voice. Avoid jargon. Explain why each works and check accessibility contrast.”
- Analytics triage → “From this CSV, flag the top 3 drop-off points this week. Suggest 3 possible reasons for each and the simplest test to confirm.”
Think of these as starter packs—you copy, tweak, and iterate. They save you from blank-page syndrome, not from thinking.
Safeguards (a.k.a. don’t skip this part)
- Always ask AI for its assumptions or sources.
- Check personas and copy for hidden bias.
- Have a rule of “AI off” for sensitive stuff (like consent language or legal text).
Human-in-the-loop (non-negotiable)
- A designer reviews every AI draft.
- PM or legal looks at anything sensitive.
- Researchers validate claims with real users whenever possible.
Because at the end of the day, AI can speed you up, but it can’t own the responsibility, you do.
The road ahead: keeping empathy, creativity, and judgment at the center
I’ve heard the “AI will replace designers” line for years. I don’t buy it. The best work I admire—across product and brand—still comes from human imagination guided by real empathy. AI can shorten the path to a competent draft; it can’t care, it can’t weigh trade-offs with moral judgment, and it doesn’t own the outcomes with users. That’s ultimately how has ai been affecting ux design: it elevates the mundane, but the magic still belongs to us Humans.
Use AI to save time and automate the repetitive bits, prepare to orchestrate, and double down on the human skills that actually differentiate our craft.
FAQs
Will AI replace UX designers?Nope. It handles repetitive tasks but can’t replicate human empathy, creativity, or ethical judgment.
How do I keep designs from looking the same when I use AI?Start with your user research, ask for varied options, and customize with your brand’s voice. Test against human designs.
Can I generate a full interface from scratch?It can give you a starting point, but great designs need human refinement and user testing.
How can I use AI with Google Analytics or Sheets?Export data to a spreadsheet, ask AI to spot trends or drop-offs, then verify with proper checks before acting.
What new skills should I build?Focus on AI literacy, prompt crafting, data analysis, ethics, and team facilitation, alongside core UX skills.

