Data-Driven Job Boards

eHarmony Mimics Its Matchmaking Model to Pair Job Seekers and Employers

Matchmaking company eHarmony's latest business venture is a data-driven job board that connects job seekers with employers who are looking to hire new staff. Rejecting a traditional application and resume review model, this service ensures staff and employers are compatible by following a similar model to eHarmony's highly successful romantic database.

Similar to connecting potential couples based on compatibility, eHarmony's Elevated job board uses big data and web-based testing modules to determine whether users are right for a particular job that they are interested in.

For example, Elevated tests users' skills while examining their personality to determine whether they are not only qualified for certain job openings by also a cultural fit that employers can identify with. This data-driven recruitment strategy saves both job seekers and employers time while ensuring that new hires are the right fit for specific organizations.

Data-driven Recruitment
Companies can adopt similar strategies to eHarmony and use data to match job seekers and employers based on compatibility.
Web-based Testing Modules
The development of web-based testing modules can help employers assess potential employees' skills and personality traits.
Cultural Fit Assessment
Assessing candidates' personalities ensures they are the right fit for specific organizations.

Who This Affects Most

Human Resources
HR departments in organizations across various industries can leverage data-driven job boards to find suitable job candidates and save time in the recruitment process.
Online Dating
The successful matchmaking technology used in online dating platforms like eHarmony can be adapted and used to create data-driven platforms for recruitment.
Technology
The development of web-based testing modules and algorithms to assess personality traits and skill sets presents an opportunity for the technology industry to create innovative recruitment solutions.
SCORE
2.2 out of 10
GENDER
50% Men50% Women
MARKETTop markets: North America, Europe, Asia
GENERATION
  • Gen Z
  • Gen Alpha
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 19%
Activity 38%
Freshness 8%

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