Signaljobs: a phone-and-desktop teardown
We loaded https://signaljobs.app/ 4 times on a simulated iPhone and 2 more on a 1366px desktop, and wrote down what a real visitor would see on each. No login, no insider access, no Harvv pixel needed. Here is what repeated visits already show, sorted by how we know it.
TL;DRWhat jumped out
Of everything we found on this scan, this is the one to start with: Tiny buttons are hard to tap on mobile. 8 of 9 tappable items on this page come in below 44×44 pixels, the minimum size Apple and Google recommend for reliable tapping, and the same ones came up small on every test load. When visitors can't hit what they expect to, they get frustrated and many of them leave instead of trying again.
Below: what's already working, every finding ranked by impact and tagged with the screen it affects, the speed numbers on phone and desktop, and a checklist of what to fix first.
00What's already working
Start here so the problems below are in context. These held up across the test loads:
- Speed is good. The main content paints in about 1.1s in our test loads, inside Google's 2.5s "good" threshold. Real networks are slower, but the page itself is not heavy.
- Light page weight. The page is about 0.5 MB across 44 requests. That keeps it quick on mobile data and cheap to load repeatedly.
- No JavaScript errors on load. Nothing threw a script error across the test loads, so buttons and tracking are not silently breaking mid-session.
- Search basics are in place. Lighthouse scores SEO 100/100. The fundamentals Google looks for are present.
- Layout holds on phone and desktop. Nothing spilled past the edge at either 390px (phone) or 1366px (desktop), so the structure is responsive.
This is one of several AI-built sites we tore down the same way. The same friction repeats on Reversely, and we pulled the cross-site pattern together in the vibe-code friction tax.
01Findings, ranked by what hurts conversion most
| Severity | Finding | How we know |
|---|---|---|
| High | Tiny buttons are hard to tap on mobileMobile 8 of 9 tappable items on this page come in below 44×44 pixels, the minimum size Apple and Google recommend for reliable tapping, and the same ones came up small on every test load. When visitors can't hit what they expect to, they get frustrated and many of them leave instead of trying again. paste into Claude, Cursor, or ChatGPT | |
| High | Some text is low-contrast and hard to readBoth Text that does not stand out enough from its background is hard to read for many visitors, and fails accessibility guidelines Google checks. paste into Claude, Cursor, or ChatGPT | |
| Medium | No analytics installed, so you cannot see your own trafficBoth No Google Analytics, GA4, or any analytics tag was detected. There is no way to know how many visitors arrive, where they come from, or what converts, and no data to retarget or measure a campaign against. Installing GA4 (free) is the baseline. paste into Claude, Cursor, or ChatGPT | |
| Low | No canonical tag, so duplicate URLs split the page's rankingBoth When the same content is reachable at multiple URLs (think tracking parameters or session IDs), Google can split your ranking signal across them. A single canonical tag tells Google which version counts. paste into Claude, Cursor, or ChatGPT | |
| Low | Search-result title will be cut offBoth The title is 77 characters; Google truncates around 60. Front-load the important words so nothing useful gets clipped. paste into Claude, Cursor, or ChatGPT | |
| Low | No structured data for rich search resultsBoth The page has no schema.org markup. Adding the right type (Product, Article, Organization, FAQ) lets Google show rich results like star ratings and prices, which lift click-through for free. paste into Claude, Cursor, or ChatGPT | |
| Low | No email capture or newsletter detectedBoth No email-marketing tag (Klaviyo, Mailchimp, etc.) was found. Email capture plus a welcome and abandoned-cart flow is consistently the highest-ROI addition for a small store, and it is owned audience you keep regardless of ad costs. paste into Claude, Cursor, or ChatGPT | |
| Low | No visible contact details (email or phone)Both The page exposes no email or phone link. For higher-value or trust-sensitive purchases, a clear way to reach a human reduces hesitation. Add an email or phone link in the header or footer. paste into Claude, Cursor, or ChatGPT | |
| Low | Unused JavaScript is being downloadedBoth Code that never runs on this page still costs download and parse time on every visit. Splitting or removing it speeds up load. Lighthouse measured: Est savings of 299 KiB. paste into Claude, Cursor, or ChatGPT |
"How we know": unlabeled = a deterministic fact, identical on every load (e.g. element sizes). Most findings are this kind, so we only mark the exceptions: median across loads = a noisy lab metric, reported as a median. real-user field data = Google CrUX, actual Chrome visitors.
02Performance: phone, desktop, and real visitors
| Metric | Mobile | Desktop | Read |
|---|---|---|---|
| TTFB (lab median) | 160 ms | 151 ms | Lab |
| FCP (lab median) | 310 ms | 308 ms | Lab |
| LCP (lab median) | 1.1s | 878 ms | Good |
| Page weight (median) | 0.5 MB | 0.5 MB | OK |
Google Lighthouse (lab): Performance 71 mobile / 96 desktop, SEO 100, Accessibility 96, Best Practices 100.
Lab numbers are from a headless mobile browser on an unthrottled connection: treat them as a floor, not a typical experience. Add a Google API key to light up real-user field data (CrUX) and Lighthouse scores.
03Tiny buttons are hard to tap on mobile
8 of 9 tappable items on this page come in below 44×44 pixels, the size Apple and Google both recommend for reliable tapping on a phone. The same ones came up small on every one of the 4 test loads, so this is the page itself, not a fluke.
The buttons measuring below the minimum on this scan:
- a 36x36 "Signal Jobs"
- a 40x20 "Home"
- a 40x20 "About"
- button 92x20 "Get Started"
- button 144x34 "JOB SEEKERS"
- button 165x34 "FOR EMPLOYERS"
- a 79x16 "Privacy Policy"
- a 97x16 "Terms of Service"
The fix is CSS-only on most sites: add padding around the icon (don't just change the icon size) so the actual tap area is at least 44×44 pixels. No redesign, no new assets.
04Technical SEO & structured data
| Check | Result |
|---|---|
| Title | Signal Jobs | Your next opportunity is already looking for you. | Signal Jobs (77 chars) |
| Meta description | 83 chars |
| H1 | 1 on page |
| Canonical | Missing |
| Structured data (JSON-LD) | None |
| Open Graph | Title + image |
05The fix checklist
Everything to fix, priority first, each tagged with the screen it affects and a rough effort. Work top to bottom.
- Tiny buttons are hard to tap on mobileMobileCSS only
- Some text is low-contrast and hard to readBothVaries
- No analytics installed, so you cannot see your own trafficBothDev afternoon
- No canonical tag, so duplicate URLs split the page's rankingBoth1 line
- Search-result title will be cut offBoth1 line
- No structured data for rich search resultsBothVaries
- No email capture or newsletter detectedBothVaries
- No visible contact details (email or phone)BothVaries
- Unused JavaScript is being downloadedBothVaries
Effort is a rough read from the outside: "CSS only" means no new assets or backend work, "1 line" means a single tag, "Dev afternoon" means a developer needs to touch tracking or scripts.
06What this report cannot tell you
Everything above is from the outside, looking at the page on a simulated phone and desktop. The questions that actually decide revenue need real visitors. Install the Harvv pixel (one script tag, 16 KB, zero personal data, no engineering project) and within about 72 hours you'd know which buttons real customers tapped and missed, how often Google Analytics is missing visits, and exactly where mobile shoppers stalled and left. This report shows you where to look. The pixel shows you how often it happens, and to whom.
Drop the Harvv pixel on signaljobs.app and we turn this one-off scan into ongoing measured behavior: which taps miss, where sessions stall, and the real drop rates. Free to start, no card needed.
Add the pixel free07How we did this, and what it can't prove
- 4 mobile + 2 desktop loads of one URL from headless Chrome (iPhone viewport at 390px, desktop at 1366px), June 23, 2026. Enough loads to separate real defects from random noise, not a full-site crawl.
- Lab numbers, not real-user numbers (no field data was available for this run). Real devices on real networks run slower.
- Friction is inferred, not counted. We can prove a button is small. We can't, from the outside, count how often it causes a missed tap. That requires the pixel on a live page.
Prepared by Harvv. Last updated June 23, 2026.