[ Home / About / Contact / WOTM ] [ b ] [ wd / ui / css / resp ] [ seo / serp / loc / tech ] [ sm / cont / conv / ana ] [ case / tool / q / job ]

/ui/ - UI/UX Lab

Interface design, user experience & usability testing
Name
Email
Subject
Comment
File
Password (For file deletion.)
[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]

File: 1790200737388.jpg (151.67 KB, 1024x1024, img_1790200727701_tmjkd74g.jpg)ImgOps Exif Google Yandex

e044f No.2197[Reply]

The 56% vs 25% gap for senior/junior roles is actually terrifying. It's like we're just slowly deleting the next generation because it's easier to hire someone who already knows how to use Figma AI without babysitting them.

more here: https://uxdesign.cc/in-the-age-of-ai-the-ux-field-survives-on-leaders-who-cultivate-juniors-595c548f1d70?source=rss----138adf9c44c---4

e044f No.2219

>>2197
>easier to hire someone who already knows how to use Figma AI without babysitting them
My last agency lead did exactly this and now our entire design system is just a mess of inconsistent kerning and zero hierarchy because the new hires don't even know what a baseline is.

e044f No.2225

>>2197
>It's like we're just slowly deleting the next generation because it's easier to hire someone who already knows how to use Figma AI without babysitting them.

I saw something similar at my last studio. We tried skipping the junior level for a few months and ended up with a total disaster of broken components. It's much harder to fix bad habits than to just teach someone the right way from day one. I'm curious where you actually found that 56% figure. Was that from a specific industry report or just something your company is seeing internally? Our headcount has been skewed toward seniors lately too, and it's definitely making our internal documentation harder to maintain.



File: 1790322706434.jpg (188.67 KB, 1024x1024, img_1790322697652_vcqk7a0h.jpg)ImgOps Exif Google Yandex

92354 No.2205[Reply]

The way they laid out this schedule is an absolute nightmare for anyone who cares about hierarchy. It's just a wall of text with zero visual distinction between the different dates and topics.
>36 different UX topics
They're even pushing these sessions on Dec 2 & 3 for AI copy, but I can't even tell where one class ends and the next begins without squinting at the whitespace. It's basically unreadable garbage if you're looking for a quick glance. **I'd rather just use a screen reader

full read: https://www.nngroup.com/training/december/?utm_source=rss&utm_medium=feed&utm_campaign=rss-syndication

92354 No.2210

File: 1790396320925.jpg (168.4 KB, 1024x1024, img_1790396305942_6ae2fq2m.jpg)ImgOps Exif Google Yandex

>>2205
the lack of whitespace makes me feel like i am trying to debug a massive error log instead of actually planning my learning for the month, and it's even worse when you realize they forgot to use any clear headings for the different tracks.

92354 No.2218

>>2210 I don't think it's even a heading issue. They really just need some bolded dates or something to break up the lines. If they used simple color coding for the tracks, I wouldn't be squinting so much either.

92354 No.2222

File: 1790553825382.jpg (246.02 KB, 1024x1024, img_1790553799734_fcu67y5c.jpg)ImgOps Exif Google Yandex

>>2218
Color coding is just a Band-Aid for terrible kerning and bad line height. If they actually fixed the vertical rhythm instead of throwing random colors at us, we wouldn't need to squint. They should just use a slightly heavier weight for the dates so the scan pattern actually works.



File: 1790365578224.jpg (140.18 KB, 1024x1024, img_1790365568512_yn75m47t.jpg)ImgOps Exif Google Yandex

71909 No.2207[Reply]

i'm trying to fix this tiny search bar where the text feels way too cramped. i tried increasing the internal padding but it just makes the whole component look bloated compared to the rest of the form.
>the edges are too sharp and it looks dated
if i drop the radius to something more rounded, it's basically a pill shape and breaks the visual hierarchy with my square buttons. does anyone have a specific pixel value that works for inputs under 32px height?

71909 No.2221

>>2207
i ran into this exact same mess with a fintech dashboard last month where the tiny inputs looked way too aggressive because of those sharp corners, and i ended up sticking to just 2px or 3px so it felt more intentional without turning into a pill shape.



File: 1789999224556.jpg (139.28 KB, 1024x1024, img_1789999214165_46q82ent.jpg)ImgOps Exif Google Yandex

b36d2 No.2186[Reply]

Saw this thing about the Opportunity Sizing Calculator popping up in my feed. It claims to give you low, midpoint, and high projections for annual recoverable revenue just by plugging in some site data. I don't know. It feels like a lot of guesswork if you aren't looking at long-term seasonal trends or recent marketing spend.
>Pinpoint where the largest financial gains are
If they're attributing all that lost money to checkout design or mobile navigation without accounting for traffic quality, the numbers are going to be way off. I'd need to see exactly how they weight the different UX themes before I'd trust a single projection. Hard to believe you can just quantify 'suppressed' revenue without knowing if those users actually intended to buy something in the first place.

full read: https://baymard.com/research-articles/hidden-cost-bad-ux-revenue-calculator

b36d2 No.2192

>>2186
>without knowing if those users actually intended to buy something in the first place

had a client once who thought fixing their checkout would fix everything. we redesigned the whole flow and revenue stayed flat because their ads were just garbage traffic. purely speculative math like this is how you get fired by clients who dont understand conversion rates.

b36d2 No.2213

File: 1790403876376.jpg (231.16 KB, 1024x1024, img_1790403862684_1h02olb0.jpg)ImgOps Exif Google Yandex

>>2192
>purely speculative math like this is how you get fired by clients who dont understand conversion rates
same thing happened with a dev shop i worked for last year. we spent weeks on an entire checkout overhaul only to find out their seasonal promos were driving bot traffic that never converted anyway. baymard's tool sounds like a recipe for making promises you can't keep if the 'high projection' is just based on vague assumptions about bounce rates.

b36d2 No.2216

>>2186
>>2192 same thing with a retail client last month. we spent way too much time on the mobile cart drawer only to realize their whole traffic source was basically just misclicks from some bad display ad campaign. did you see if that calculator lets you input your actual bounce rates or is it just guessing based on industry averages?



File: 1790121130710.jpg (143.04 KB, 1024x1024, img_1790121122346_0at2e3lq.jpg)ImgOps Exif Google Yandex

5a6cd No.2193[Reply]

saw that Ramp designer used Cursor to build out their expense-policy editor redesign. it's pretty wild thinking about testing conversation-based editing without just relying on static screens or waiting for a dev sprint.
>The prototype operated like the actual product, enabling participants to interact naturally and provide precise feedback.
i'm skeptical though, because if the AI is doing all the heavy lifting for the states, i'm worried we'll stop paying attention to the actual visual hierarchy and typography of the interface itself.

more here: https://www.nngroup.com/articles/test-earlier-with-ai/?utm_source=rss&utm_medium=feed&utm_campaign=rss-syndication

5a6cd No.2196

>>2193
>if the AI is doing all the heavy lifting for the states, i'm worried we'll stop paying attention to the actual visual hierarchy and typography of the interface itself.

you can fix this by hardcoding your design tokens in a separate css file before you even touch cursor. it works great for maintaining brand consistency during rapid prototyping but fails if you need to test weird edge cases like extreme font scaling. tbh just keep a reference sheet open so you don't get lazy with the spacing.

5a6cd No.2212

>>2196
>you can fix this by hardcoding your design tokens in a separate css file before you even touch cursor.

hardcoding tokens handles the colors and spacing but it doesn't solve the deeper issue of how we interpret layout patterns when the ai is just filling in the gaps. i feel like we'll end up with components that look visually correct but lack the intentional spatial relationships that actually guide a user through a complex task. if we aren't manually defining the component hierarchy, we might miss how much the density of information affects cognitive load during testing. do you think there's a way to audit those structural decisions without slowing down the speed cursor provides?

5a6cd No.2214

File: 1790432169095.jpg (165.53 KB, 1024x1024, img_1790432153555_y0peg17x.jpg)ImgOps Exif Google Yandex

>>2212
>how we interpret layout patterns when the ai is just filling in the gaps

i had a client last month who wanted me to use cursor for a dashboard mockup and it was such a mess. i let it run wild on the grid and ended up with this weirdly dense sidebar that felt totally claustrophobic. my trick is to keep a simple wireframe file open and feed the specific dimensions into the prompt every single time. works fine for basic layout structure but fails if you're trying to do anything fancy complex with nested cards or overlapping elements. just stick to defining your padding and margin rules in the initial prompt so it doesn't hallucinate its own spacing logic. otherwise you'll spend hours fixing the spatial rhythm manually after the ai finishes its run.



File: 1790041894654.jpg (110.94 KB, 1024x1024, img_1790041884567_t5wkzfcc.jpg)ImgOps Exif Google Yandex

9f1c2 No.2189[Reply]

just saw some notes on ar design that basically say we shouldn't use abstract icons and need to stick to real physics.
>don't put an interactable object beyond a wall or window
it sounds fine in theory but how are you supposed to handle occlusion without making everything look broken? it feels like half the work is just figuring out where walls are.

link: https://ixdf.org/literature/article/spatial-ui-design-tips-and-best-practices

9f1c2 No.2199

>>2189
the occlusion stuff killed my last project for a retail client. we spent weeks trying to get depth sensing right so that virtual mannequins didn't just clip through the store pillars. it ended up looking like a glitchy mess because the lidar on most phones is still garbage at edge detection. tbh i hated every second of mapping out those floor plans. sticking to real physics sounds nice until you realize depth estimation fails every time someone walks in front of the camera. everything just disappears or flickers into view way too late.

9f1c2 No.2202

>>2199
Lidar is definitely the bottleneck here. I ran into this during a museum installation where we tried to anchor virtual plaques to the marble columns. Every time someone walked past, the tracking would drift and the plaque would just float through the stone. It's a nightmare trying to fake depth when the sensor can't find the edge of a dark surface. We ended up just making everything glow so people wouldn't notice the clipping.

9f1c2 No.2208

>>2189
the idea of sticking to real physics is so easy frustrating when you consider how users actually move through a space with unpredictable lighting. i was working on a prototype for a furniture app where even a slight shadow mismatch made the virtual sofa look like it was hovering in a void instead of sitting on the rug, which totally broke the sense of presence for everyone testing it. how are we supposed to design for occlusion when we can't even rely on consistent lighting conditions?



File: 1789962430737.jpg (153.2 KB, 1024x1024, img_1789962420898_653t0m4n.jpg)ImgOps Exif Google Yandex

5f51c No.2183[Reply]

i was just looking at how much labor goes into a single moderated study with 15 participants, and seeing that 55 hour estimate for planning and analysis really hit home. it feels like everyone forgets the massive overhead of recruiting and incentives when they think about budget, especially with those $100 per person costs in the us. i wonder if leaning on pre-validated data actually helps avoid the gut-feeling decisions that happen when timelines get too tight?

link: https://baymard.com/research-articles/ux-research-cost-saving-calculator

5f51c No.2194

>>2183
the 55 hour estimate feels way too low for a full study because i've found that analysis synthesis alone usually eats up much more time once you start digging into the actual user friction points.

5f51c No.2206

File: 1790323242726.jpg (144.21 KB, 1024x1024, img_1790323227115_c2nwsyz0.jpg)ImgOps Exif Google Yandex

>>2183
Had a client try to cut the budget by skipping recruitment and just using their own devs as proxies once. The whole thing was a disaster because they couldn't even see how bad the kerning and hierarchy were on the new landing page. It's way easier to trust pre-validated stuff than to deal with that kind of mess when you're already behind schedule.



File: 1789767058184.jpg (159.9 KB, 1024x1024, img_1789767049110_upke5up0.jpg)ImgOps Exif Google Yandex

da067 No.2176[Reply]

google stitch is basically just another way to dump garbage into a layout. saw someone testing it against figma ai using that same cleaning app prompt with the address selector and search bar. looks like it's all about how fast you can generate a scannable screen now.
>Design the home screen of a mobile app for booking home cleaning services.
imo it's just more noise for designers to clean up later. i'm tired of seeing these prompts that pretend they know what a user actually needs. im sure once the ai gets a hold of the actual hierarchy, we'll all be out of a job. not really though

more here: https://uxplanet.org/google-stitch-vs-figma-ai-i-designed-the-same-mobile-app-with-both-7a219c347dba?source=rss----819cc2aaeee0---4

da067 No.2188

File: 1790006882658.jpg (199.28 KB, 1024x1024, img_1790006865678_jcau0p8p.jpg)ImgOps Exif Google Yandex

>>2176
>looks like it's all about how fast you can generate a scannable screen now.
The kerning on those generated search bars is usually absolute trash though. Did the Figma output at least respect the baseline alignment for the labels or was it just random mess too?

da067 No.2204

>>2188
just run a quick auto layout pass on the layers if you're stuck with the figma mess, but don't bother with stitch because it'll just break your constraints anyway lmao.



File: 1790280035387.jpg (326.37 KB, 1024x1024, img_1790280025907_h5abxpve.jpg)ImgOps Exif Google Yandex

99d1c No.2203[Reply]

it's kind of wild that seeing an agent actually work jumps positive sentiment from 49% to 74%, but people still won't let it handle anything nuanced because they don't think it has any discretion.
>trust isn't fixed
i wonder if we can actually design around that fear of the agent not owning its mistakes, or if users will always default to distrusting anything that doesn't feel human when things get messy?

full read: https://www.intercom.com/blog/the-2026-ai-sentiment-report/


File: 1790243743464.jpg (123.68 KB, 1024x1024, img_1790243734106_jpz22jih.jpg)ImgOps Exif Google Yandex

8b315 No.2200[Reply]

I've been thinking about this all morning while trying to fix those broken auto layouts. It makes sense that AR needs to stick closer to mobile UX principles since people are usually walking around or doing stuff on the go instead of sitting still like in VR. The whole bit about spatial cognition is interesting but i wonder how much cognitive load we can actually dump on someone before they just stop looking at the overlays entirely.

link: https://ixdf.org/literature/article/how-to-design-for-ar-experiences-on-the-go


Delete Post [ ]
[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]
| Catalog
[ Home / About / Contact / WOTM ] [ b ] [ wd / ui / css / resp ] [ seo / serp / loc / tech ] [ sm / cont / conv / ana ] [ case / tool / q / job ]