Starting this module was quite nerve wrecking because it was all about portfolio, CVs, and placement applications; it felt as though I was taking my first step into my career. In today’s class we got a brief knowledge of what to expect throughout this term.
This lecture gave me the opportunity to think about what kind of designer I potentially want to be, what kind of work environment I want to be in, and projects I want to work on. We conducted an exercise in class to help us all figure out what it is that we want out of our potential placement opportunities.
Besides this our tutor spoke to us about CVs and how we need to start working on them becasue placement offers can get quite competitive. He laid things out in an orderly manner and I understood it all rather easily than I expected. Having CV advisors to look forward to gave me hope because I realised how resourceful and helpful the university is when it comes to pushing their pupil into the real world.
I decided to look at some digital design portfolios out there to better calculate the task ahead of me.
After looking at some portfolios I gathered a few that stood out to me. Especially Tamera’s portfolio which is the bottom image; what liked about it is how easy it is to read through and it is very easy to know at what stage of the design process you’re observing. I also liked how you can even scroll on her mid-fidelity wireframe mock-ups. It is a well rounded portfolio that is easily navigable and that is something I intend to create.
Another interesting topic discussed today was the future of UX design. These changes intrigued me so much that I did some research to discover what experts predict for UX in the next decade.
The future of UX design is expected to evolve a lot, with several key trends shaping its direction:
1. Data-Driven Design: Data will help designers to create more personalized and human-cantered experiences. Continuous testing and iteration with users will ensure
2. Accessibility and Inclusivity: Designing for accessibility will become imperative. Data-driven insights can determine where users with disabilities might struggle, henceforth allowing designers to create more inclusive products.
3. Integration of AI and Machine Learning: The incorporation of AI and machine learning will transform user experience with increasingly personalized, time-efficient, and intuitive experiences. These technologies can analyse user behaviour to offer tailored content and predict user needs, enhancing overall engagement.
In summary, the UX design landscape is rapidly evolving, with a strong emphasis on data-driven approaches, accessibility, AI integration, and ethical design. Staying informed about these trends and continuously developing relevant skills will be essential for success in this dynamic field.
The Future of UX Design in 2035
The Future of UX Design: How AI and Machine Learning Are Changing the Way We Design