# Survey Published articles for Survey. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## What I learned organizing KCD Lima 2026 DevFeed: [What I learned organizing KCD Lima 2026]() Original publisher: [Read original article]() Author: Ronald Requena | CNCF Ambassador Published: 2026-09-15T16:24:05Z Content type: opinion Language: en Sources: [Cloud Native Computing Foundation]() Topics: [Kubernetes](), [data]() Tags: [2026](), [blog](), [community](), [event](), [kubernetes](), [report](), [survey]() ### AI overview Ronald Requena reflects on organizing the third Kubernetes Community Days Lima, held on July 18, 2026. He describes the event's growth, operational challenges, program, sponsorship, and attendee feedback, including 2,244 registrations, more than 900 attendees, 54 sessions, and a 4.7 out of 5 satisfaction rating. ### Source excerpt On July 18, 2026, we held the third edition of Kubernetes Community Days Lima at UTEC in Barranco. By now, we have already sent the Transparency Report to the CNCF, thanked our sponsors, and processed the... ## Microsoft at CppCon 2026 DevFeed: [Microsoft at CppCon 2026]() Original publisher: [Read original article]() Author: Augustin Popa Published: 2026-09-14T00:16:42Z Content type: news Language: en Sources: [C++ Team Blog]() Topics: [C++](), [Microsoft](), [Visual Studio](), [Visual Studio 2026](), [GitHub Copilot](), [MSVC](), [Visual Studio Code](), [Artificial Intelligence](), [Optimization](), [CMake]() Tags: [ai](), [c-plus-plus](), [cmake](), [copilot](), [cppcon](), [github-copilot](), [microsoft](), [msvc](), [optimization](), [safety](), [survey](), [visual-studio](), [visual-studio-2026]() ### AI overview Microsoft's CppCon 2026 sessions cover modern C++ development, including AI-assisted workflows, MSVC, Visual Studio, Visual Studio Code, compiler optimization, C++ safety, and stricter compiler warnings. The article also provides conference logistics, speaker sessions, and a survey invitation. ### Source excerpt Microsoft will be at CppCon 2026 in Aurora, Colorado, which is taking place from September 14 through 18. Join us for talks from Microsoft speakers and colleagues across the C++ community and visit the Microsoft booth Monday through Thursday to meet the team and discuss the tools, technologies, and challenges that matter to you. If [...] The post Microsoft at CppCon 2026 appeared first on C++ Team Blog. ## The Real Python Podcast - Episode #311: Django Developers Survey Results & Reproducible Python Builds DevFeed: [The Real Python Podcast - Episode #311: Django Developers Survey Results & Reproducible Python Builds]() Original publisher: [Read original article]() Author: Real Python Published: 2026-09-11T12:00:00Z Content type: article Language: en Sources: [Real Python]() Topics: [Django](), [Python](), [LLMs](), [releases]() Tags: [2026](), [developers](), [django](), [llms](), [news](), [podcast](), [python](), [reproducible-builds](), [survey]() ### AI overview Episode 311 discusses findings from the 2026 Django Developers Survey, including how Django users are adopting LLMs in their development workflows. It also covers reproducible Python builds, recent Python and Django ecosystem releases, community news, and projects such as matchify and pydantic-pint. ### Source excerpt What are the latest trends uncovered in the 2026 Django Developers Survey? How are Django users employing LLMs in their development process? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects. ## Thanks for participating in APNIC 62 DevFeed: [Thanks for participating in APNIC 62]() Original publisher: [Read original article]() Author: Timothy Hildred Published: 2026-09-10T13:16:58Z Content type: article Language: en Sources: [APNIC Blog]() Topics: [Internet](), [networking](), [NIXI]() Tags: [apnic-62](), [blog](), [community](), [conference](), [conferences](), [event](), [events](), [india](), [industry](), [internet](), [keynote](), [learn](), [linkedin](), [networking](), [nixi](), [september-2026](), [speakers](), [survey](), [transcripts](), [updates](), [videos](), [youtube]() ### AI overview APNIC 62 brought together 583 in-person and remote attendees from 54 economies in Mumbai from 4 to 10 September 2026. The article thanks participants, speakers, sponsors, and organizers, and points readers to the conference report, recordings, presentations, transcripts, and survey. ### Source excerpt Thank you to everyone who participated in person and remotely at APNIC 62, hosted by the National Internet Exchange of India (NIXI) and co-hosted by ISPAI, from 4 to 10 September 2026 in Mumbai, India. ## 2026 APNIC Survey report released DevFeed: [2026 APNIC Survey report released]() Original publisher: [Read original article]() Author: Dale Roberts Published: 2026-09-10T03:21:38Z Content type: article Language: en Sources: [APNIC Blog]() Topics: [Internet]() Tags: [apnic-62](), [apnic-survey](), [blog](), [community](), [executive](), [india](), [internet](), [open](), [research](), [responses](), [september-2026](), [survey]() ### AI overview The 2026 APNIC Survey report is available, presenting feedback from 1,385 valid responses about APNIC's performance, priorities, and future direction. A summary will be discussed at APNIC 62 in Mumbai, with the findings and a later response from the Executive Council forming part of APNIC's strategic planning. ### Source excerpt The 2026 APNIC Survey report is now available, providing valuable feedback from Members and the wider Internet community on APNIC's performance, priorities, and future direction. ## What does DX do? Key features, use cases, and alternatives DevFeed: [What does DX do? Key features, use cases, and alternatives]() Original publisher: [Read original article]() Author: John Crowley Published: 2026-09-09T15:53:52Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [code productivity](), [developer-productivity](), [Developer experience](), [atlassian](), [Git](), [Instrumentation](), [sdlc](), [Artificial Intelligence]() Tags: [agentic](), [ai](), [atlassian](), [developer-experience](), [developer-productivity](), [engineering](), [git](), [instrumentation](), [metrics](), [sdlc](), [survey]() ### AI overview This article explains what DX does as an engineering intelligence platform. DX measures developer productivity, developer experience, delivery data, and AI's impact on codebases using developer surveys and data from Git and Jira. It describes DX's DevEx Cloud, DX Data Cloud, DX AI, and Fabric offerings, along with their research-backed metrics, use cases, limitations, and alternatives. ### Source excerpt What DX does: its engineering intelligence features, survey-based metrics, common use cases, where it stops, and the alternatives ## What It Takes to Run a Mobile App Beta with Real Customers DevFeed: [What It Takes to Run a Mobile App Beta with Real Customers]() Original publisher: [Read original article]() Author: Renee Liken Published: 2026-09-09T12:00:46Z Content type: tutorial Language: en Sources: [Atomic Object]() Topics: [Mobile](), [Testing](), [App]() Tags: [customer](), [delivery-practices](), [features](), [mobile](), [mobile-app-deployment](), [survey](), [testing](), [time]() ### AI overview This tutorial explains how to run focused mobile app betas with real customers before a full release. It recommends testing one feature at a time, keeping the customer request small, recruiting and incentivizing a limited group, and collecting focused feedback through screenshots, recordings, and surveys. ### Source excerpt Earlier this year, our team shipped two mobile app features for BIGGBY® COFFEE that both touch real money: applying loyalty rewards to an order at checkout, and adding a tip when you pay. These are exactly the kinds of features you don't want customers discovering bugs in via one-star reviews. So before each one released [...] The post What It Takes to Run a Mobile App Beta with Real Customers appeared first on Atomic Spin. ## See How Organizations Achieved 137% ROI with VMware Cloud Foundation 9 DevFeed: [See How Organizations Achieved 137% ROI with VMware Cloud Foundation 9]() Original publisher: [Read original article]() Author: vmwareblogs Published: 2026-09-08T15:00:00Z Content type: article Language: en Sources: [VMware Blogs]() Topics: [Cloud](), [Provisioning](), [systems](), [Security]() Tags: [cloud](), [cloud-infrastructure](), [compliance](), [cost](), [efficiency](), [financial](), [home-page](), [infrastructure](), [legacy](), [private-cloud](), [provisioning](), [survey](), [vcf-9-0](), [vcf-9-1](), [vmware](), [vmware-cloud-foundation](), [webinar]() ### AI overview The article presents a commissioned Forrester Consulting Total Economic Impact study of VMware Cloud Foundation 9. Based on interviews with eight customers and a survey of 55 customers over a modeled three-year period, it describes projected financial and operational benefits for large enterprises running VCF 9 in production, including lower infrastructure costs, reduced operational effort, less downtime, faster delivery, tool consolidation, and improved security and compliance. The title reports 137% ROI. ### Source excerpt Enterprises running private cloud face a common question: what does the investment actually deliver? To answer it, we commissioned Forrester Consulting to conduct an independent New Technology Total Economic Impact (TEI) study on VMware Cloud Foundation 9 (VCF 9). Forrester interviewed decision-makers at organizations running VCF 9 and surveyed additional customers to develop a composite ... Continued The post See How Organizations Achieved 137% ROI with VMware Cloud Foundation 9 appeared first on VMware Blogs. ## Rust debugging survey 2026 results DevFeed: [Rust debugging survey 2026 results]() Original publisher: [Read original article]() Author: Sam Kellam Published: 2026-09-07T00:00:00Z Content type: article Language: en Sources: [Rust Blog]() Topics: [debugging](), [Rust](), [ide](), [Command-line interface]() Tags: [2026](), [command-line](), [debugger](), [debugging](), [developers](), [ide](), [rust](), [survey]() ### AI overview The Rust project reports results from its first Rust Debugging Survey, which received more than 2,300 responses. The article examines who uses debuggers, how Rust developers debug programs, and the debugging challenges they encounter. More than 46% of respondents currently use debuggers, while print debugging and the macro are widely used, followed by debugging inside an IDE and on the command line. ### Source excerpt One of the biggest challenges Rust developers report in our annual surveys is a subpar debugging experience. So, back in February, we ran our first Rust Debugging Survey, in the hopes of identifying how Rust developers are using debuggers and what problems they are facing when doing so. We received over 2,300 responses, and we'd like to thank everyone who took the time to participate in the survey! In this report, we'll go over some of the results of the survey. If you'd like, you can also check out the complete results of the survey. If you'd like to skip ahead to any particular section, you can do so with this index: Who Uses Debuggers? How Are Debuggers Used? Challenges Debugger Visualizers Closing Remarks Who Uses Debuggers? The first step to making sense of the survey results is understanding who took the survey. We asked respondents to rate their Rust expertise, from "Never used it" to "Advanced". Over 80% reported themselves as "Advanced" or "Intermediate", split roughly evenly between the two: [PNG] [SVG] We also asked respondents if they currently use or have used debuggers in Rust. Over 46% said they currently do, with the remaining responses split between "have in the past" and "never have". That means that over half of respondents do not currently use a debugger for Rust! [PNG] [SVG] Categorized by expertise, the responses reveal that roughly half of "beginners" have never used debuggers in Rust! On the other hand, nearly half of "advanced users" currently do use debuggers in Rust: [PNG] [SVG] For respondents who indicated they had previously used Rust but no longer did, we asked if challenges with debugging support were why they stopped. For nearly 3%, the answer was "yes", with an additional 24% reporting debugging issues as being partially responsible (though mind the small response count; most respondents were active users of Rust): [PNG] [SVG] How Are Debuggers Used? Knowing what debuggers developers are using and how is another important part of un ## What 143 platform teams told us about keeping infrastructure alive DevFeed: [What 143 platform teams told us about keeping infrastructure alive]() Original publisher: [Read original article]() Author: Oliver Thylmann Published: 2026-09-04T10:15:45Z Content type: opinion Language: en Sources: [Giant Swarm Blog]() Topics: [Platform Engineering](), [Kubernetes](), [cloud-infrastructure](), [Security](), [observability]() Tags: [aws](), [azure](), [bare-metal](), [infrastructure](), [kubernetes](), [observability](), [open-source](), [platform](), [platform-engineering](), [security](), [survey](), [team](), [tech]() ### AI overview Giant Swarm surveyed 143 platform and infrastructure professionals about the ongoing work required to keep production platforms running. The article argues that this platform integration tax is primarily a time cost, with security, reliability, cluster management, and observability consuming engineering capacity. ### Source excerpt The hidden cost of platform engineering isn't building your stack. It's keeping it alive. Giant Swarm surveyed 143 platform teams to find out. ## Community consultation on increasing diversity in APNIC community leadership: Stage 1 report released DevFeed: [Community consultation on increasing diversity in APNIC community leadership: Stage 1 report released]() Original publisher: [Read original article]() Author: Kenny Huang Published: 2026-09-04T05:34:12Z Content type: news Language: en Sources: [APNIC Blog]() Topics: [Internet](), [Network]() Tags: [apnic-62](), [apnic-ec](), [community](), [diversity](), [emerging-leaders](), [governance](), [guest-post](), [leadership](), [remote](), [survey](), [time]() ### AI overview The APNIC Executive Council has released the Stage 1 report from a consultation on increasing diversity in APNIC community leadership. The consultation gathered input from 49 participants across 21 economies and identified themes including leadership pathways, election barriers, and the time and support required for participation. A second consultation is planned at APNIC 62, followed by a final report. ### Source excerpt The APNIC Executive Council has released the Stage 1 report on APNIC's community consultation on increasing diversity in APNIC community leadership. The discussion will continue at APNIC 62 in Mumbai, with remote participation available. ## EC Chair's Preview: September EC Meeting and APNIC 62 DevFeed: [EC Chair's Preview: September EC Meeting and APNIC 62]() Original publisher: [Read original article]() Author: Kenny Huang Published: 2026-08-27T00:52:41Z Content type: article Language: en Sources: [APNIC Blog]() Topics: [Internet](), [FIRST]() Tags: [apnic-62](), [apnic-ec](), [apnic-survey](), [blog](), [community](), [conference](), [events](), [governance](), [insights](), [internet](), [nro](), [open](), [research](), [series](), [survey]() ### AI overview This preview outlines the APNIC Executive Council's priorities ahead of its September meeting at APNIC 62 in Mumbai. It covers APNIC's future activity plan and budget, long-range direction informed by the 2026 APNIC Survey, and work to strengthen governance and accountability across the regional Internet registry system. ### Source excerpt Get an overview of the topics the EC are considering ahead of the September meeting at APNIC 62. ## Anonymous and open to all: The Home Assistant survey dataset DevFeed: [Anonymous and open to all: The Home Assistant survey dataset]() Original publisher: [Read original article]() Author: Annika Schulz; Idil Bostan Published: 2026-08-26T00:00:01Z Content type: article Language: en Sources: [Home Assistant]() Topics: [Home Assistant](), [dataset](), [data](), [Open Source](), [GitHub]() Tags: [customization](), [data](), [devices](), [open-source](), [privacy](), [research](), [smart-home](), [survey]() ### AI overview This article announces the free publication of anonymized results from Home Assistant's first community survey, conducted in December 2024 and completed by 8,616 respondents. It describes the survey's purpose, anonymization and privacy safeguards, findings about smart-home users, and how the data will support product work and further research. ### Source excerpt Our why as an organization is clear: to fight for privacy, choice, and sustainability for smart homes, and for every person who lives in one. But who does live in them? In December 2024, we launched the first Home Assistant survey to find out. Our goal was simple: to make Home Assistant more inclusive and approachable by listening directly to the diverse community of people who use it. In the spirit of building in the open, today we're thrilled to announce the anonymized results of that survey are now freely available. In this post, we'll run you through what the survey covered, why and how we're publishing this data, what the data is not (read: identifiable), how we're using this information to improve what we do, and opportunities for further understanding and research. ## One year of platform engineering certifications: What 2,000 students taught us DevFeed: [One year of platform engineering certifications: What 2,000 students taught us]() Original publisher: [Read original article]() Author: Sam Barlien Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [Software Engineering](), [DevOps](), [site-reliability-engineering]() Tags: [and-best-practices](), [best-practices](), [devops](), [junior](), [platform-engineering](), [survey](), [training]() ### AI overview The article reflects on the first year of Platform Engineering University and the lessons from nearly 2,000 students. It explains that senior platform engineers, platform leaders, and technical strategists became the main audience, seeking validation, shared terminology, and alignment around platform engineering practices. These findings led to a four-tier certification and learning architecture designed for platform teams at different levels. ### Source excerpt Learn what 2,000 students taught us about platform engineering. Discover why senior engineers and platform leaders are the primary audience, and how our single course evolved into a certification architecture for shared team language and best practices. ## 2026 Real-Time Shading Ecosystem Survey Results DevFeed: [2026 Real-Time Shading Ecosystem Survey Results]() Original publisher: [Read original article]() Author: jphilips (jeff@khronosgroup.org) Published: 2026-07-21T13:00:00Z Content type: release Language: en Sources: [Blogs Khronos Blog]() Topics: [releases](), [shaders](), [real-time](), [Programming](), [glsl](), [GPU]() Tags: [2026](), [blog](), [debugging](), [developers](), [glsl](), [graphics](), [porting](), [real-time](), [report](), [survey]() ### AI overview Khronos reports results from a 2026 survey of more than 400 shader developers, graphics programmers, rendering engineers, and tools creators. Shader debugging and profiling were the leading reported pain point, while cross-platform shader porting also affected a majority of respondents. ### Source excerpt Khronos releases the 2026 Real-Time Shading Ecosystem Survey Report, a summary of insights from over 400 shader developers, graphics programmers, rendering engineers, and tools creators. Conducted between June 16 and July 10, 2026, the survey captures a clear picture of how the real-time shading community works today -- and where standardization efforts can deliver the greatest impact. ## 2025 NixOS Community Survey Report DevFeed: [2025 NixOS Community Survey Report]() Original publisher: [Read original article]() Author: djacu Published: 2026-07-08T15:13:37Z Content type: news Language: en Sources: [Announcements - NixOS Discourse]() Topics: [Nix](), [datasets](), [Astro](), [GitHub]() Tags: [2025](), [announcements](), [astro](), [community](), [data](), [report](), [survey]() ### AI overview The 2025 NixOS Community Survey collected 3,399 complete responses from September 1 to December 15, 2025, a 48% increase over 2024. Its report presents aggregated, anonymized results through interactive charts covering community demographics, technology use, experience, contribution, and information seeking. NixOS was the main entry point for most respondents, while flakes and the new nix CLI were the most-used experimental features; flakes were also the most requested area for improvement. ### Source excerpt Hello everyone! On behalf of the NixOS Marketing Team, we're happy to announce that survey results now have a permanent home on the NixOS website: NixOS Surveys First up: the full report for the 2025 NixOS Community Survey at 2025 Community Survey Results The survey ran from September 1 to December 15, 2025 and drew 3,399 complete responses, a 48% increase over the 2,290 we received in 2024. Thank you to everyone who took the time to respond! What's in the report The report turns the responses into interactive charts across seven sections: People, Technology, Experience, Workplace, Contribution, Foundation, and Information seeking. A few highlights to get you started: The community is new and growing. 28.9% of respondents started using Nix within the past year, and 82.5% have under four years of experience. NixOS is the front door to the ecosystem. 70.8% heard of NixOS before Nix itself, 78.4% first installed Nix through NixOS, and YouTube is the single largest discovery channel (28.3%). Flakes are everywhere, in both senses. Flakes (78.9%) and the new nix CLI (66.7%) are by far the most-used experimental features, and flakes also top the list of areas respondents most want improved (50.3%), alongside error messages (47.6%) and the reference manual (41.5%). There's much more in the full report: demographics, hardware and platform targets, contribution patterns, upgrade experiences, and how people find help. About the data We take respondent privacy seriously: only aggregated and anonymized results are published, and raw responses are never released. The data pipeline, chart code, and the site itself are available at GitHub - NixOS/surveys - GitHub. Issues and pull requests are welcome, and you can build and hack on the site locally without access to any raw data. We could use your help This survey is put together by a handful of volunteers on the NixOS Marketing Team, and it's a lot of work for a small group: designing the questions, running and promoting the survey ## AI Coding Tools Shift Experienced Developers from Slower to Faster Work DevFeed: [AI Coding Tools Shift Experienced Developers from Slower to Faster Work]() Original publisher: [Read original article]() Author: Jon C. Phillips Published: 2026-06-28T17:56:00Z Content type: opinion Language: en Sources: [Jon C. Phillips]() Topics: [Artificial Intelligence](), [Code](), [Stack Overflow]() Tags: [ai](), [articles](), [audience-building](), [code](), [design](), [developers](), [digital-products](), [judgment-bottleneck](), [music](), [photography](), [product-engineering](), [side-projects](), [survey](), [web-development](), [writing-code]() ### AI overview The article argues that experienced developers' measured performance with AI coding tools shifted from roughly 19% slower in mid-2025 to roughly 18% faster by early 2026. It attributes the change to better tools and developers gaining experience directing and reviewing generated code, while noting sample-selection caveats. ### Source excerpt That puts me on one side of a heated argument. A well-known METR study in 2025 found experienced developers were around 19% slower with AI while sure they were faster, and skeptics passed it around as proof. ## Figma's 2026 AI report: Can AI help us collaborate better? DevFeed: [Figma's 2026 AI report: Can AI help us collaborate better?]() Original publisher: [Read original article]() Author: Madeline Stafford; Shane Johnston Published: 2026-06-24T12:45:00Z Content type: article Language: en Sources: [Figma Blog]() Topics: [Artificial Intelligence](), [Figma](), [Canvas](), [data](), [User Experience](), [Development]() Tags: [2026](), [ai](), [canvas](), [developers](), [figma](), [report](), [research](), [survey](), [user-experience]() ### AI overview Figma's 2026 AI report draws on three years of survey and interview data to examine how AI is changing collaboration, design, development, and product-building workflows. It reports that respondents increasingly see AI as affecting teamwork, while design and shared canvas-based work remain important. ### Source excerpt AI used to be a solo act. According to our research, it's not anymore. ## Flight Booking & Airlines Quantitative UX: 3 High-Level Takeaways from 30+ Charts DevFeed: [Flight Booking & Airlines Quantitative UX: 3 High-Level Takeaways from 30+ Charts]() Original publisher: [Read original article]() Author: Richard Lam Published: 2026-06-24T08:04:00Z Content type: article Language: en Sources: [Baymard Institute]() Topics: [Flight](), [User experience (UX)](), [data](), [benchmarking](), [Mobile](), [A/B Testing]() Tags: [a-b-testing](), [airline](), [apps](), [article](), [booking](), [desktop](), [mobile](), [research](), [survey](), [travel](), [ux]() ### AI overview Baymard reports quantitative UX findings from a survey of 3,125 US online shoppers who use flight-booking and airline sites. The article highlights that shoppers use multiple sources when searching for flights, three quarters belong to at least one airline loyalty program, and business travelers are more likely to bundle travel-related bookings. ### Source excerpt (Note: Unfortunately, e-mail and RSS don't support advanced layouts and features. If the graphics in this article look strange, you may want to read the article in your web browser.) Key Stats & Takeaways 30+ new insights on Flight Booking & Airline shopper habits and preferences 3,125 US online shoppers surveyed in this quantitative UX study Flight Booking & Airline shoppers use a variety of sources when looking for flights, are highly likely to participate in loyalty programs, and commonly bundle other travel-related bookings at the same time, particularly when travelling for business. At Baymard, we've just released new Quantitative Insights into people who shop on "Flight Booking & Airlines" sites, expanding our understanding of the habits and preferences of online shoppers in this category. These insights are visualizations based on survey data that supplement and support our large-scale UX research findings and benchmarking of the Flight Booking & Airlines industry. The 30+ insights address the Flight Booking & Airlines online shopping experience, spanning a breadth of topics: sources for flight searching, types of add-ons purchased, usage of apps and external tools, importance of cancellations, sales and scarcity incentives, and motivations for bundling and loyalty programs. Some of the charts also explore sub-segments of the broader audience such as business travelers and whether they are more likely to purchase add-ons, or how device usage between desktop and mobile changes as flight price becomes more expensive. These Quantitative Insights empower you to align stakeholders through objective, survey-backed data, streamline A/B testing with high-potential hypotheses, and discover and address industry-specific UX challenges. In this article, we'll highlight 3 high-level findings that reflect how shoppers evaluate and purchase flights online: Flight shoppers use a variety of sources when looking for flights Three quarters of flight shoppers are part of at leas ## Flutter Q2 survey DevFeed: [Flutter Q2 survey]() Original publisher: [Read original article]() Author: Shams Zakhour Published: 2026-06-15T16:42:40Z Content type: article Language: en Sources: [Flutter - Medium]() Topics: [Flutter]() Tags: [announcements](), [flutter](), [flutter-app-development](), [survey]() ### AI overview Flutter reminds readers to complete the Q2 survey before it closes on Friday, June 19. The feedback will help inform the Flutter roadmap. ### Source excerpt Dash completes the Q2 Flutter survey! Just a reminder! Please take the Flutter Q2 survey! The survey closes at the end of day on Friday, June 19th. It won't take long and your feedback helps drive our roadmap! Thank you! Flutter Q2 survey was originally published in Flutter on Medium, where people are continuing the conversation by highlighting and responding to this story. ## Apparel & Accessories Quantitative UX: 3 High-Level Takeaways from 40+ Charts DevFeed: [Apparel & Accessories Quantitative UX: 3 High-Level Takeaways from 40+ Charts]() Original publisher: [Read original article]() Author: Niel Gan Published: 2026-06-12T08:02:00Z Content type: article Language: en Sources: [Baymard Institute]() Topics: [User experience (UX)](), [data](), [benchmarking]() Tags: [article](), [benchmarking](), [customer](), [data](), [ecommerce](), [online-shopping](), [research](), [reviews](), [shopping](), [survey](), [ux]() ### AI overview This quantitative UX study examines apparel and accessories shoppers' habits and preferences using survey data from 1,922 US online shoppers. It presents more than 40 insights on topics including sizing and fit confidence, product-page evaluation, reviews, returns, loyalty programs, and delivery expectations. The article highlights uncertainty throughout the shopping journey, including mismatches between shoppers' self-reported sizes and industry definitions, infrequent shopping as a barrier to loyalty enrollment, and reviews serving as a proxy for fit evaluation. ### Source excerpt (Note: Unfortunately, e-mail and RSS don't support advanced layouts and features. If the graphics in this article look strange, you may want to read the article in your web browser.) Key Stats & Takeaways 40+ new insights on Apparel & Accessories shopper habits and preferences 1,922 US online shoppers surveyed in this quantitative UX study Apparel and accessories shoppers face uncertainty at every stage of their journey, from how their self-identification corresponds to retailer categories to how they evaluate fit on the product page We've released new Quantitative Insights into people who shop on "Apparel & Accessories" sites, adding to our growing body of data on the habits and preferences of online shoppers across key ecommerce categories. These insights are survey-based data visualizations that complement and deepen our large-scale UX research findings and benchmarking of the Apparel & Accessories industry. The 40+ insights cover the Apparel & Accessories online shopping experience across a wide range of topics: online trip drivers, size and fit confidence, product page evaluation, reviews usage, returns, loyalty programs, and delivery expectations. Apparel and accessories shoppers make decisions with incomplete information at every stage of their online journey. They can't feel a fabric, try out a fit, or know whether a size label will translate to their body. Beyond that, they may not know whether the items they buy will ultimately feel "worth it" to them, or whether they'll shop frequently enough to make a rewards program worth joining. Each of these uncertainties plays out at a different stage of the journey, and each has distinct implications for how Apparel & Accessories sites should be designed. In this article, we'll highlight 3 high-level findings that reflect how apparel and accessories shoppers navigate that uncertainty: Shoppers' self-reported size categories often diverge from industry definitions Infrequent shopping, not program design, is the top ## The Benefits Of Cognitive Inclusion In UX Research DevFeed: [The Benefits Of Cognitive Inclusion In UX Research]() Original publisher: [Read original article]() Author: hello@smashingmagazine.com (Kate Kalcevich) Published: 2026-06-10T10:00:00Z Content type: article Language: en Sources: [Articles on Smashing Magazine -- For Web Designers And Developers]() Topics: [User experience (UX)](), [Accessibility](), [Usability]() Tags: [accessibility](), [design](), [digital-products](), [guide](), [insights](), [prototyping](), [research](), [survey](), [testing](), [usability](), [user-research](), [ux]() ### AI overview An exploratory UX research study examines whether participants with cognitive disabilities uncover more usability insights than general-population participants. It describes recruitment and screening, research practices, a pilot with 25 testers, user interviews, surveys, and a joint validation study using websites built with an AI prototyping tool. ### Source excerpt Findings from an exploratory user research study highlighting the unique insights and practical UX recommendations shared by participants with cognitive disabilities. ## Unpacking SMB cyber-readiness - and what makes or breaks it DevFeed: [Unpacking SMB cyber-readiness - and what makes or breaks it]() Original publisher: [Read original article]() Author: Tomáš Foltýn Published: 2026-06-10T09:00:00Z Content type: article Language: en Sources: [WeLiveSecurity]() Topics: [Cybersecurity](), [Business Security](), [Resilience](), [incident](), [Security & Privacy]() Tags: [awareness](), [breach](), [business](), [business-security](), [canada](), [compliance](), [cybersecurity](), [europe](), [incident](), [japan](), [resilience](), [survey](), [training](), [us]() ### AI overview The article examines SMB cyber-readiness through findings from the ESET SMB Cyber Readiness Index 2026. It reports that 45% of surveyed SMBs experienced a cyber-incident in the previous twelve months, while many respondents expressed confidence in their resilience. The article highlights a persistent gap between perceived preparedness and basic precautions, with insurance requirements, compliance pressure, and cybersecurity awareness training helping organizations prepare. ### Source excerpt A company that's expecting a cyberattack but hasn't actively prepared for it risks making the hardest decisions at the worst possible moment ## Planning an ML Survey Paper: Notes from a Notebook DevFeed: [Planning an ML Survey Paper: Notes from a Notebook]() Original publisher: [Read original article]() Published: 2026-04-30T00:00:00Z Content type: opinion Language: en Sources: [Alex Korbonits]() Topics: [Machine learning]() Tags: [notes](), [survey]() ### AI overview A candid account of planning an ML survey paper through three notebook sittings. The author describes choosing a topic, researching venues, drafting in Overleaf, missing an AMLC submission deadline, and abandoning the project after needing to find an internal transfer. ### Source excerpt An operational artifact, not a polished essay. The numbered checklist I worked out across three notebook entries in April 2024 -- what venue, what topic, how to find the bibliography, solo or co-author, milestones -- when I was deciding whether to write an ML survey paper. Useful for anyone in a similar spot. [Next page]()