Situation
A large technology company recently contracted a market research firm to understand how WFH flexibility impacted a candidate’s willingness to accept a job offer. They needed to survey 1,000 engineering professionals that were actively searching for a new job and across geographies and organizational seniority. The client found that traditional panel providers were struggling to meet all of the acceptance criteria required to fill the sample and they would need to engage multiple panel providers to complete the study.
Process
Emporia turned to its proprietary sourcing engine that considers more than 200 attributes across 1B+ professionals at over 30MM companies. Emporia’s AI was able to predict job seekers based on activity on professional networking sites as well as demographic and industry information. Respondents included software engineers, senior software engineers, engineering managers and engineering directors.
Result
By leveraging Emporia’s proprietary sourcing engine and delivery system, the client was able to field all 1,000 respondents in 8 days. Emporia also provided a sample set of respondents to the client to further display the quality and validity of the data.
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