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The whole is greater than the sum of its parts: In meta-study format, LEADING EMPLOYERS analyses an extensive number of sources, feedbacks and topics. By combining all data, a significantly higher validity than in a stand-alone study can be achieved.
The study’s
process in detail:
In a multi-stage process, the TOP 1% of all employers are identified.
01. discovering the sources02. classifying the sources03. collecting the data04. cleaning the data05. scoring the companies
In an on-going process, the inclusion of new sources is being conducted through a number of channels:
- Corporate careers websites
- HR blog entries
- Keyword catalogue-based Google research
- Cross-countries check
- Input from the public and our Advisory Board
We assess the informative value and quality of each source through a number of aspects:
- Type of source (e.g. audit, poll, review portal)
- Type of organisation (e.g. non-profit vs. for-profit)
- Type of research (e.g. self-enrolment vs. independent research)
- Validation processes, manipulation barriers, complaint tools
- Academic supervision and/or governmental patronships
The maximum amount of information is collected for each publicly accessible source.
- The above refers to level of detail as well as historical archives
- Our Data Scientists team is led by a PwC-certified Data Analyst
- Quality controls and blind checks ensure continuous accuracy
- We utilise AI-driven tools and scrapers of both major types:
open-target (web crawlers) and custom-tailored (data extractors)
250 sources come in many different formats. This step converts all data for a common denominator:
- Abbreviations (e.g. “LE” = “Leading Employers”)
- Pre-fixes (e.g. „The Disney Channel” = “Disney Channel”)
- Founder’s first names (e.g. “Smith Group” = “John Smith Group”)
- Languages (e.g. “Swiss Post” = “Schweizer Post”)
- Mergers and re-brandings
‘More’ does not necessarily mean ‘better’! A holistic assessment is what counts.
- Each category of sources has a different base score
(e.g. multi-stage audit vs. simple self-commitment) - These are weighted by 50% – 150% for individual findings
(e.g. rankings, categories, percentages, grades, scores, etc.) - Negative findings result in points deduction, up to disqualification
- Final score depends on the variance of areas with positive findings
Detailed methodology PDF
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