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Candidate Assessment

Moving from Direct Sourcing 1.0 to Direct Sourcing 2.0

Direct sourcing has dominated discussions around talent, work, and staffing for the past few years because, when executed well, it can deliver incredible value to the greater organization through hard benefits (such as cost savings and a quicker average time-to-fill rate) and soft benefits (greater talent quality, better engagement with highly-skilled candidates, etc.).

As the overall labor market evolves in the wake of rising worker resignations, smart businesses will prioritize the need for deeper assessment and validation of skillsets and place a greater emphasis on the candidate and hiring manager experience. The starting point for most will be to build on their existing direct sourcing capabilities and work to develop Direct Sourcing 2.0 capabilities, such as:

  • Leverage digital recruiting processes to engage and communicate with candidates. Recruitment marketing has been a key tool for talent acquisition teams that target both active and passive candidates with specific messaging regarding open positions. Digital recruitment marketing leverages this same thinking but also invites active and passive candidates to join branded portals (and talent pools) by crafting distinctive communications that speak to career paths, worker values, desired cultures, etc.
  • Harness the power of AI to more effectively validate candidates’ skill, expertise, fit, and overall alignment. Candidate assessment can be enhanced and improved by adding AI capabilities into the mix. Managers simply do not have the time, resources, or energy (especially in today’s frenetic market) to deal with a “bad hire.” Virtual recruiting has made skills validation more difficult and candidate fraud more commonplace. AI-led direct sourcing tools can augment the way that enterprises gain peace of mind over who and how they engage candidates before hiring.
  • Nurture talent pool candidates with next-generation strategies that take into account timing, trust, and mobile-enabled messaging. Sometimes it is not just how frequently hiring managers communicate with their talent pool candidates, but when they do so that can make a world of difference in the ability to “close” a candidate. Talent nurturing within Direct Sourcing 2.0 programs entails more advanced approaches including text-first messaging, better and deeper communication with candidates, and outreach that can build trust between employer and worker.
  • Scale direct sourcing to become a repeatable set of processes that can drive value across the full enterprise. Direct sourcing programs typically start small, with a specific segment of worker categories before expanding into other critical areas of the enterprise. Direct Sourcing 2.0 is the culmination of expansive, innovative strategies and solutions that can take direct sourcing to the next level by increasing the number of high-impact, talent-based positions that fall under the scope of the program.

The path to Direct Sourcing 2.0 is also rooted in the idea that data should drive talent-led decision-making. Most next-generation direct sourcing programs leverage AI-driven functionality to enable a more robust picture of available skillsets, improve the matching of available skills with open positions and project requirements, streamline the assessment of candidate skills and expertise, and enhance worker intelligence. The majority of businesses see AI and advanced analytics as a catalyst for Direct Sourcing 2.0 over the next two years.

Ardent Partners and the Future of Work Exchange make the case that an employer’s brand can be a catalyst for talent transformation because it can be used to attract talent and maintain an allure as non-FTE workers shift in and out of enterprise projects. Direct Sourcing 2.0 builds on brand concepts and pushes them to a higher level by using AI and analytics on candidate data to improve messaging, increase support for diversity initiatives, and gain a clearer picture of the worker expertise available in today’s transformative labor market.

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