“quickly”
Appeared in 34% of designer job listings the week of 2026-11-02 (29 of 86 postings).
First tracked 2026-04-13 · 21 weeks of collected data · peak prevalence 34% · no data collected Jul 27 – Sep 27
“quickly” prevalence in designer JDs, by week
2026-04-13 → 2026-11-02% of each week's designer postings that mention this term · 21 collected weeks · peak 34% · 17 earlier weeks from before collection began not shown · hatched rows: no data collected, not 0%
Where the conversation happens
View as table
| Role | Total mentions |
|---|---|
| Senior Product Designer | 448 |
| Staff Product Designer | 224 |
| Product Designer | 215 |
| Design Lead | 84 |
| Design Engineer | 77 |
| UX Designer | 58 |
| Principal Product Designer | 52 |
| AI Product Designer | 50 |
| Growth Designer | 35 |
| Content Designer | 27 |
| Design Systems Engineer | 15 |
| UX Researcher | 14 |
| Associate Product Designer | 8 |
| Product Design Manager | 8 |
| Brand Designer | 7 |
| Junior Product Designer | 7 |
| Design Generalist | 4 |
| UX Writer | 2 |
| Head of Design | 1 |
Roles where “quickly” appears most
Ranked by share of the role's active listings that include this term. Roles with fewer than 20 active listings are left out.
- Growth Designer39% · 31 of 80 listings · 51 mentions
- Design Lead29% · 74 of 256 listings · 93 mentions
- AI Product Designer28% · 35 of 123 listings · 50 mentions
- Product Design Manager27% · 12 of 44 listings · 12 mentions
- Staff Product Designer27% · 185 of 687 listings · 247 mentions
- Junior Product Designer24% · 11 of 45 listings · 11 mentions
- Product Designer24% · 172 of 704 listings · 224 mentions
- Content Designer24% · 26 of 107 listings · 28 mentions
- Associate Product Designer23% · 8 of 35 listings · 8 mentions
- Principal Product Designer22% · 42 of 192 listings · 55 mentions
About this tracker
Every active designer listing in our corpus is tokenized: HTML stripped, stopwords (common English words + job-posting boilerplate) removed, pure numbers dropped. The remaining tokens are bucketed into Monday-anchored weeks based on when each listing was first seen. Counts are weekly totals across every listing for that week. A week only counts as collected if our LinkedIn scrape (about 80% of volume) ran that week; weeks when it didn't are shown hatched as gaps, never as zeros.