EOC Pro Group · Recruiting knowledge
Recruiting Data: Time-to-Fill for Skilled Trades
A transparent measurement framework for electrician, welder and plant-manager hiring, with clear definitions and the status of EOC’s original benchmarks.
By EOC Pro Group · Updated October 27, 2026
Publication status: no validated averages yet
As of October 27, 2026, EOC does not have a validated completed-placement sample sufficient to publish role-level time-to-fill averages. We are publishing our measurement standard rather than estimated numbers presented as research. “Not available” does not mean zero days.
This page is a methodology resource, not a completed benchmark report. It contains no client or candidate records.
Average time-to-fill: current benchmark availability
| Role | Average days | Median days |
|---|---|---|
| Electricians | Not available | Not available |
| Welders | Not available | Not available |
| Plant managers | Not available | Not available |
Our publication methodology
This is the standard EOC will use for a future original benchmark, not a claim that a completed study exists. A database creation date is not necessarily the date a search opened; a planned start date is not an accepted offer.
- Time-to-fill
- Calendar days from the employer-authorized opening of a funded requisition to documented offer acceptance. Report start-date lead time separately.
- Time-to-hire
- Calendar days from the hired candidate entering that role’s recruiting process to documented offer acceptance. This measures a different interval and must not be substituted for time-to-fill.
- Eligible observations
- Real, uniquely identified filled openings with validated dates, role and location. Exclude test records, duplicates, invalid date pairs and canceled searches. Disclose exclusion counts and track unfilled searches separately to show potential selection bias.
- Sample size and privacy
- Publish a role-level benchmark only after at least 10 validated observations are available for its stated period. That minimum is a privacy and reporting threshold, not proof of statistical representativeness. Suppress small geographic groups; never publish candidate or client identities.
- Statistics and scope
- Report the arithmetic mean, median, sample size, observation period, geography and range. Explain outliers and any exclusions. EOC’s operational sample would not represent all employers or establish that AI caused faster hiring.
- Revisions and attribution
- Each release should include its extraction date, methodology version and correction notes. Cite the exact release and distinguish EOC observations from any external industry research.
Why role-level context matters
A useful comparison separates materially different searches rather than pooling every trade and region into one number. For Ceres, Sacramento and the Central Valley, commute, shift and relocation constraints should be recorded alongside pay and job requirements.
Electricians
Credential level, commercial versus industrial work, shift and project location.
Welders
Welding process, material, required certification, test requirements and shift.
Plant managers
Facility scale, production environment, leadership scope and relocation requirements.
These are proposed comparison variables, not measured explanations for observed hiring speed.
What to ask before citing a recruiting statistic
- What exact events start and stop the clock?
- How many filled roles are included, and from what period and region?
- Are mean and median both reported?
- Were canceled, unfilled or unsuccessful searches excluded?
- Is this an operational sample, an industry survey or a hypothetical scenario?
- Can the methodology and source be inspected without sharing personal information?
For employers, researchers and industry writers
You may reference this page’s definitions with attribution to Eocprogroup, but do not cite it as evidence of a typical hiring time or an AI performance advantage. For an original benchmark, request a dated, validated release before quoting any figure.
Ask about recruiting research or a methodology correctionFor the operational steps behind these measures, read our AI recruitment workflow guide.