# Interaction Design Interaction design is the design of interactions between users and products, most often software products such as apps or websites. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Expert Evaluation: Identify Problems Before You Recruit Users DevFeed: [Expert Evaluation: Identify Problems Before You Recruit Users]() Original publisher: [Read original article]() Author: William Hudson Published: 2026-09-03T00:00:00Z Content type: article Language: en Sources: [UX Daily - User Experience Daily]() Topics: [Usability](), [User experience (UX)](), [User interface design](), [Interaction Design](), [benchmarking](), [Artificial Intelligence]() Tags: [ai](), [benchmarking](), [cost](), [evaluation](), [interaction-design](), [testing](), [usability](), [ux]() ### AI overview This article explains expert, or heuristic, evaluation as a cost-effective way to identify usability problems before recruiting users. It describes using structured guidelines such as Nielsen's heuristics, extending the method to benchmarking, and treating AI-generated critiques as preliminary input that requires expert review. ### Source excerpt Before you have a single real user in a testing session, you can already find a significant proportion of the usability problems in a design. Expert evaluation, also known as heuristic evaluation, is one of the most cost-effective methods available to UX practitioners. It requires no recruitment, facilities, or scheduling. What it does require is expertise, judgment, and a structured set of guidelines to work from.Here we show how expert evaluation works, walk through Nielsen's widely used set of 10 heuristics, and explain how the same principles can be extended to benchmarking: a more formal process of scoring designs against detailed criteria and comparing performance across sites or over... ## Community visions for more human ways to interact with AI-enabled software DevFeed: [Community visions for more human ways to interact with AI-enabled software]() Original publisher: [Read original article]() Author: Jenny Xie Published: 2026-06-24T12:00:00Z Content type: opinion Language: en Sources: [Figma Blog]() Topics: [Interaction Design](), [Artificial Intelligence](), [User interface design]() Tags: [ai](), [design](), [figma](), [future-of-software](), [interaction-design](), [software]() ### AI overview This opinion article presents community ideas about how AI could make software interactions more human and context-aware. Examples include controls that appear only when relevant and tools that combine voice, gestures, and cursor movement to support creative work. ### Source excerpt Our community imagines how AI might bring about more human ways to interact with software. ## How Ben McCarthy is bringing Obscura's vision to photo editing DevFeed: [How Ben McCarthy is bringing Obscura's vision to photo editing]() Original publisher: [Read original article]() Author: Ale Cubero Published: 2025-09-01T09:46:00Z Content type: article Language: en Sources: [Sketch Blog]() Topics: [Sketch](), [User interface design](), [Interaction Design](), [iphone](), [Development](), [iOS]() Tags: [app-development](), [apple](), [interaction-design](), [interface-design](), [ios](), [iphone](), [library](), [made-with-sketch](), [product]() ### AI overview An interview with Obscura creator Ben McCarthy about Obscura Studio, a standalone photo editor built entirely in Sketch. McCarthy explains how Apple's Lock Screen Camera extension requirements influenced the app's architecture, and how a filter-tuning tool evolved into a photo-editing product designed around simplicity. ### Source excerpt We spoke with Obscura Studio's creator, Ben McCarthy, to learn how their new app strips photo editing down to the essentials -- and why thoughtful design sometimes means doing less. ## Trust Calibration for AI Software Builders DevFeed: [Trust Calibration for AI Software Builders]() Original publisher: [Read original article]() Published: 2025-08-18T00:00:00Z Content type: article Language: en Sources: [The Fly Blog]() Topics: [Interaction Design](), [Artificial Intelligence](), [cursor](), [Software](), [Code]() Tags: [ai](), [article](), [cdn](), [close-to-users](), [code](), [cursor](), [deploy-app-servers](), [docker](), [elixir](), [fly](), [fly-io](), [heroku-alternative](), [heroku-competitor](), [hosting](), [i](), [interaction-design](), [mental-models](), [networking](), [postgresql-clusters](), [servers](), [software]() ### AI overview The article explains trust calibration for AI software products: aligning users' trust with a system's actual capabilities and limitations. It discusses the risks of over-trust and under-trust, advocates accurate user mental models, and uses Cursor's change highlighting as an example of communicating that model-generated code is a suggestion rather than a command. ### Source excerpt Trust calibration is a concept from the world of human-machine interaction design, one that is super relevant to AI software builders. Trust calibration is the practice of aligning the level of trust that users have in our products with its actual capabilities. If we build things that our users trust too blindly, we risk facilitating dangerous or destructive interactions that can permanently turn users off. If they don't trust our product enough, it will feel useless or less capable than it actually is. So what does trust calibration look like in practice and how do we achieve it? A 2023 study reviewed over 1000 papers on trust and trust calibration in human / automated systems (properly referenced at the end of this article). It holds some pretty eye-opening insights - and some inconvenient truths - for people building AI software. I've tried to extract just the juicy bits below. Limiting Trust Let's begin with a critical point. There is a limit to how deeply we want users to trust our products. Designing for calibrated trust is the goal, not more trust at any cost. Shoddy trust calibration leads to two equally undesirable outcomes: Over-trust causes users to rely on AI systems in situations where they shouldn't (I told my code assistant to fix a bug in prod and went to bed). Under-trust causes users to reject AI assistance even when it would be beneficial, resulting in reduced perception of value and increased user workload. What does calibrated trust look like for your product? It's important to understand that determining this is less about trying to diagram a set of abstract trust parameters and more about helping users develop accurate mental models of your product's capabilities and limitations. In most cases, this requires thinking beyond the trust calibration mechanisms we default to, like confidence scores. For example, Cursor's most prominent trust calibration mechanism is its change suggestion highlighting. The code that the model suggests we change is h ## Announcing Apollo Internships for 2022 DevFeed: [Announcing Apollo Internships for 2022]() Original publisher: [Read original article]() Author: Melanie Marshall Published: 2021-11-17T16:48:37Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [Open Source](), [Back end](), [Front end](), [distributed-systems](), [Framework](), [User experience (UX)](), [Data Science](), [Interaction Design](), [Data analysis](), [Product Management]() Tags: [backend](), [company](), [data](), [data-science](), [distributed-systems](), [frontend](), [graphql](), [interaction-design](), [internship](), [internships](), [libraries](), [life-at-apollo](), [open-source](), [ux]() ### AI overview Apollo GraphQL announces its 2022 internship program, expanding opportunities across engineering, design, product management, and sales. Engineering roles include full-stack, frontend, backend, distributed systems, libraries and frameworks, operations, and data science. ### Source excerpt Apollo GraphQL is busy! With millions of downloads of our open source product every week, customers like Walmart, Peloton, and Netflix (just to name a few), and our recent $1.5 billion valuation, this is an exciting time to be working at Apollo. If you are looking for a 2022 internship at a company tackling interesting projects and building the future of GraphQL technology, you want to be at Apollo. ## How to Sell UX Research with Two Simple Questions DevFeed: [How to Sell UX Research with Two Simple Questions]() Original publisher: [Read original article]() Author: by Sophia V. Prater Published: 2021-10-21T14:00:00Z Content type: article Language: en Sources: [A List Apart: The Full Feed]() Topics: [User experience (UX)](), [Interaction Design](), [User interface design]() Tags: [article](), [design](), [interaction-design](), [user-experience](), [user-experience-user-research](), [user-research](), [ux]() ### AI overview This article explains how to use two questions--what the objects are and how they relate--to help stakeholders recognize risky assumptions, hidden complexity, and the need for UX research. It presents ORCA, an iterative methodology for turning research into a structural foundation for object-oriented UX, screen design, and interaction design. ### Source excerpt Do you find yourself designing screens with only a vague idea of how the things on the screen relate to the things elsewhere in the system? Do you leave stakeholder meetings with unclear directives that often seem to contradict previous conversations? You know a better understanding of user needs would help the team get clear on what you are actually trying to accomplish, but time and budget for research is tight. When it comes to asking for more direct contact with your users, you might feel like poor Oliver Twist, timidly asking, "Please, sir, I want some more." Here's the trick. You need to get stakeholders themselves to identify high-risk assumptions and hidden complexity, so that they become just as motivated as you to get answers from users. Basically, you need to make them think it's their idea. In this article, I'll show you how to collaboratively expose misalignment and gaps in the team's shared understanding by bringing the team together around two simple questions: What are the objects? What are the relationships between those objects? A gauntlet between research and screen design These two questions align to the first two steps of the ORCA process, which might become your new best friend when it comes to reducing guesswork. Wait, what's ORCA?! Glad you asked. ORCA stands for Objects, Relationships, CTAs, and Attributes, and it outlines a process for creating solid object-oriented user experiences. Object-oriented UX is my design philosophy. ORCA is an iterative methodology for synthesizing user research into an elegant structural foundation to support screen and interaction design. OOUX and ORCA have made my work as a UX designer more collaborative, effective, efficient, fun, strategic, and meaningful. The ORCA process has four iterative rounds and a whopping fifteen steps. In each round we get more clarity on our Os, Rs, Cs, and As. The four rounds and fifteen steps of the ORCA process. In the OOUX world, we love color-coding. Blue is reserved for objec ## Figma for students and educators DevFeed: [Figma for students and educators]() Original publisher: [Read original article]() Author: Miggi Cardona Published: 2021-08-26T00:00:00Z Content type: article Language: en Sources: [Figma Blog]() Topics: [Figma](), [Interaction Design](), [User Experience](), [real-time]() Tags: [collaboration](), [design](), [figma](), [onboarding](), [real-time](), [remote-work](), [user-experience]() ### AI overview Figma's Education plan gives students and educators free access to Professional features, unlimited collaboration, and simplified classroom onboarding. The article describes how educators use Figma to teach interaction design, support in-person and remote learning, organize class materials, and create more engaged and inclusive classrooms. ### Source excerpt As students and educators start the new school year, Designer Advocate Miggi Cardona shares how Figma can help.