Written By Jess Feldman
Edited By Liz Eggleston
Course Report strives to create the most trust-worthy content about coding bootcamps. Read more about Course Report’s Editorial Policy and How We Make Money.
Course Report strives to create the most trust-worthy content about coding bootcamps. Read more about Course Report’s Editorial Policy and How We Make Money.
User Experience (UX) design is where creativity meets technology, and with the rise of Artificial Intelligence (AI), UX designers are discovering new tools to revolutionize how they craft digital experiences. From image and prompt generators to enhancing wireframing and collaboration, learn about the seven, most commonly used AI tools in UX design today. Plus, we’re weighing the benefits and challenges of implementing AI into the UX design process with some expert insights from bootcamp alumni.
The short answer is: no! While AI tools may be quickly advancing, they still require active human involvement and discretion. “Our relationship to our tools will always be co-determetive,” explains Lead Designer and General Assembly alumni Jeff Appel, “Always look at AI as a supplement, something that can push you a bit more as well. Our tools are growing as we grow and become something else… Work in conjunction with it, and you’ll see creative growth.”
Pros |
Cons |
Increases efficiency |
Limits creativity |
Quickly identifies possible enhancements |
Heavily depends on data |
Creates highly personalized design |
Ethical concerns |
Many technologists and employers are looking to AI tools to increase their team’s efficiency. In addition to quickly completing tasks, AI tools can identify areas of improvement within designs. AI tools may hone in on overlooked patterns of user behavior, and share design suggestions to improve usability. UX designers are also excited about how AI tools help create highly personalized designs. Through data collection and analysis, AI tools can be adept at delivering recommendations that are specific to the unique behaviors of users.
That said, solely relying on AI tools is not recommended! AI tools may limit a designer's creativity because they may create designs that look similar to what is already out in the market. AI tools heavily depend on data, so if the data is faulty, the designs or recommendations may be suspect. There are also ethical concerns when using AI for design. AI systems trained on biased data have been known to perpetuate bias in its designs.
How DALL-E 2 is used by designers: DALL-E 2 by OpenAI creates realistic images and artwork from text prompts. Designers can describe the image they would like, and DALL-E creates it in a matter of seconds. While DALL-E 2 is popular for its ease of use, designers may prefer the AI image generator, Midjourney, if they’re looking for more control over the image.
How Uizard is used by designers: Uizard is a powerful AI design tool that generates mockups. This AI tool is capable of transforming hand-drawn wireframes into digital designs.
How ChatGPT is used by designers: Need some creative inspiration or placeholder text? ChatGPT can be used as an effective tool for Loren Ipsum replacement. In Course Report’s recent Live Q&A with bootcamp alumni working in AI, Jeff Appel explained that his team trained ChatGPT on different science and reading standards so it could generate a certain text at differentiated reading levels.
How Miro Assist used by designers: Miro is a commonly used productivity tool by UX designers, so its new AI “Assist” feature enhances its collaborative brainstorming power. Miro Assist can help teams with ideation, image generation, and code generation.
How Visily is used by designers: Visily is a free, AI-powered tool for wireframing. Designers can use Visily to create wireframes, mockups, and prototypes.
How Monterey AI is used by designers: With Monterey AI, data is processed to give designers insights and predictions into user behavior. Designers can look to Monterey AI to help their teams shape UX strategy.
How Galileo AI is used by designers: Galileo AI uses text prompts to generate UI designs. This tool can suggest design elements and layouts tailored to users' preferences and industry trends.
Jess Feldman is an accomplished writer and the Content Manager at Course Report, the leading platform for career changers who are exploring coding bootcamps. With a background in writing, teaching, and social media management, Jess plays a pivotal role in helping Course Report readers make informed decisions about their educational journey.
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