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Settle for More Megyn Kelly. Plan of Attack Bob Woodward. Truth, The with jokes Al Franken. Table of Contents Executive Summary Briefly, this project attempted to research the uses of crowdsourcing for use as a potential recruitment tool. Specifically: In , crowdsourcing applications became widely available and appeared to have potential for use in as an adjunct for federal recruiting.
A review of available research at that time indicated there was no ongoing investigation on the use of crowdsourcing in federal recruitment. On the other hand, the research indicated that customization of the crowdsourcing application could assist recruitment efforts in certain circumstances, including targeted recruitment efforts e. Two existing customers at the Department of Transportation notably that had difficulty in surfacing any candidates for electronics engineer positions at the National Highway Transportation Safety Administration and the Federal Railways Administration expressed an interest.
The project, in general, progressed without significant delay in meeting its schedule. This project would potentially allow agencies to develop and access large numbers of candidates differentiated by various recruitment categories e. Project outcome could lead to an additional method for identifying potential job candidates.
Leveraging crowdsourcing as a potential hiring pipeline opportunity can give recruiters additional sources of candidate supply in addition to applicant inventories. Additionally, crowdsourcing leverages emerging social media networking toward use as a potential recruitment method.
This project began in October and completed in September Project participants included myself and Samantha Jones, who acted as the crowdsourcing application technician. Project beneficiaries potentially include HR staffs at two operating administrations at the Department of Transportation and other defense and civilian agency HR organizations.
Key findings include current crowdsourcing applications must be customized to realize the full potential of identifying potential candidates for specific occupations. Customization should yield a useful recruitment application that identifies job candidates not possible through contemporary methods. Additionally, agency IT operations would need to ensure maintenance of compliance and IT security. The remainder of this report describes in detail the research conducted and specific findings. Achievement of objectives relied on a non-governmental crowdsourcing application to identify potential candidates for federal employment.
As such, there was no commercial sector analogue to follow and there was only time enough to develop a limited test application to gain a proof of concept; hence, application modification was limited, but included a means to assess candidate interest and academic credentials and basic competencies.
An actual crowdsourcing application, intended to support federal hiring, would likely require extensive research and planning to be truly effective. For example, researchers completed only limited flow process charting involving a three-tiered hierarchy; this would likely need to be expanded to at least a five-tiered hierarchy process description to determine if logical flow exists between the processes. While the crowdsourcing application would need to conform to federal IT standards e.
This test generated separate profiles for use in evaluating the attainment of stated objectives. The next section presents the research description. The research staff and the contractor developed mock-up web site screens for review by staffs at the Office of the Chief Information Office and Office of the General Counsel. Research staff modified web site screens to include statements on all pages stating that the web site was a simulation for test purposes only.
Research staff provided test crowdsourcing web site information to pre-selected volunteers who were given basic instructions on the purpose and use of the web site. The fifty volunteers were provided website access for five days to input data into the crowdsourcing application. Thirty-six of the fifty volunteers successfully entered all requested data, while the remaining 24 failed to complete the data entry tasks due to simulated disruption of website access by the research staff.
Seventy-two percent of the volunteers were able to remain logged in to the crowdsourcing application over the five days to complete required data entry tasks. Thirty-three volunteers completed exit questionnaires describing their experience using the crowdsourcing application. There are also specialty project report templates, like a social media analytics report.
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