CloudPeak Systems
VerifiedEmployer account雲峰系統Technology201–500 employees
Hiring analytics招聘數據
Everything below is computed from your 15 listings and the 1,693 applicants they have attracted — no benchmarks borrowed from other employers.
Time to first applicant
8days
median across your listings
Applicant to interview
48%
11 of 23 tracked candidates
Offer acceptance
40%
5 offers extended
Days to hire
56days
median, application to offer accepted
Pipeline funnel
23 candidates tracked on the board, applied through to hired
A candidate counts into every stage they reached, so people who were later declined still show in the earlier steps. This is the shortlist your team is actively working, not everyone who applied.
Applicants by seniority
Which level your listings actually attract
1,693
applicants
- Senior31%
- Mid level30%
- Entry level18%
- Intern14%
- Other seniorities6%
Every applicant received, grouped by the seniority of the listing they applied to.
Applicants per open role
15 roles currently accepting applications
Roles with the fewest applicants are usually the ones with the narrowest language or licensing requirements.
Views and applications over 12 weeks
Indexed — each series starts at 100 in its first active week
- Listing views
- Applications
- Views, 12 weeks
- 40,780
- Into pipeline, 12 weeks
- 23
- Apply rate, all listings
- 4.2%
Indexing puts two very different scales on one axis, so this compares shape rather than level. Weekly views are modelled from each listing's counter across the weeks it was live; applications are the real dates candidates entered the pipeline.
The salary transparency effect薪酬透明度
Average applicants per listing, split by whether you published a range
Read this as a signal, not proof. It compares 13 listings that publish a range against 2 listings that don’t, on one employer’s own account. The two groups differ in seniority, district and how long each listing has been live, and none of that is controlled for here.