UI/UX Articles and Interesting Tidbits of the Week
November//15+22//2024
Here are some interesting finds on UI/UX of the past two weeks!
Following a brief break.
1.
Understanding a Talent Recruiting Process. For those who practice and dive into research endeavors on a recurring basis, it can be a challenge to find a platform or service that consistently delivers a pertinent pool of panelists/interviewees. This article from Luke Friedman for the User Interviews blog, details how the organization has made their qualification process that much more robust, by leveraging AI and LLM for better matches between screeners and the right candidates. It’s also insightful on how the system combats fraudulent or less than truthful data sources (or candidates) in the process. Worth reading through. Highlight of the article includes:
“We’ve recently introduced semantic search, using a Natural Language Processing (NLP) model, as a new factor to determine a participant’s likelihood of passing a screener survey. Semantic search allows us to expand the text in a study’s screener survey and in a participant’s past responses to form more flexible matches. It allows us to identify “needle in a haystack” participants for niche recruits with confidence. Additionally, our fraud prevention system uses Machine Learning models to assess participant trustworthiness, which we do using over 50 indicators . These models help us block the vast majority of likely fraud, and they help us determine which non-fraudulent participants are most trustworthy.”
2.
Alternatives to Technical Illustrations and Data Visualizations. Forewarning: this is a very slight article hailing from The Smashing Magazine and author Thomas Bohm. However even in its slightness, it’s worth browsing through, since it emphasizes the need to leverage powerful data visualizations and infographics to energize whatever storytelling is being told (in whatever format it may be consumed at). The article essentially lists a series of data visualizations that can be a departure from the typical elements that are produced from Microsoft Excel and Powerpoint. Personally and in my opinion, one of the Designers who has demonstrated the monumental power of Infographics is Martin Oberhäuser (check his agency’s website here). So much can be communicated when data visualizations and infographics are properly leveraged. Highlight of the article includes:
“There are many options available, including specialized software like Flourish, Tableau, and Klipfolio; familiar tools like Microsoft Word, Excel, or PowerPoint (with redrawing in software like Adobe Illustrator, Affinity Designer, or CorelDRAW); or learning coding languages such as D3, Three.js, P5.js, WebGL, or the Web Audio API, as Frederick O’Brien discusses in his article “Web Design Done Well: Delightful Data Visualization Examples.””
3.
AI Managing Businesses’ Social Media. Interesting article from Steven Melendez, this article focuses its attention on Aggie, an AI-powered platform which manages any entity’s social media presence. The platform creates content, marketing content, including AI generated imagery, which enables businesses of any nature to stop worrying about the process of coming up with clever posts, enabling for a flow of continued presence and interaction with clients. It’s an example of how a platform with AI capabilities can be an auxiliary force for small businesses. Worth reading through. Highlight of the article includes:
“Realizing that the company had a large selection of data into what sorts of social media posts do well, including information that would-be competitors would find it hard to replicate now that social platforms have locked down access to automated tools, Audience Genomics created Aggie. It’s a one-stop tool that with a few clicks can generate a calendar of social media posts for platforms including Instagram, LinkedIn, X, Facebook, and Threads, allow users to tweak it if they so desire, then schedule it to publish.”
