Case Study

INDUSTRY VERTICAL AND APPLICATION TYPE:

Talent management

WORKFLOW STEPS ACCELERATED:

Matching job candidates to open job orders, increasing ease-of-use of in-house Salesforce database of talent

Challenge: Digitalent, a talent management service, offers everything from creating a company’s entire career site to digital recruiting campaigns and actively sourcing talent. As demand for IT workers outstrips supply, Digitalent actively sources — that is, finds candidates not actively job hunting from LinkedIn and other public platforms — and cultivates relationships with potential candidates.

Digitalent research analysts maintain a Salesforce database of all candidates. This database is home base for finding suitable candidates to fill very precise hiring specifications, and maintaining a relationship not only with clients, but also with workers who might return to Digitalent as they move through their careers.

Two issues hampered their Salesforce searches. The bigger one was multi-object search. Research analysts such as Ivana Vasilić often run reports looking for one object in the result, such as a Contact object (representing a job candidate), but need to restrict the search based on fields in other objects, such as the Project object (representing the job vacancy).

In multi-object search, although the desired search results are Contact objects, the search criteria may look at data from fields in other objects.

“Multi-object search sold us on KonaSearch,” Vasilić said. “We are also always developing the database and adding new custom fields and objects, so it’s hard to remember what you can use.”

Less pressing, but also important, was a need for a radius search, as most candidates are not willing to move more than 50 km. Vasilić explained that job searches are very location-sensitive, as many Swiss employers seek to hire German-speaking residents who live in specific regions of Switzerland.

Solution: Digitalent considered various apps on AppExchange. Some offered a natural language processing search or AI, but not multi-object keyword search with filters and facets. With KonaSearch, even if the results are contact objects (i.e., job candidates), the various checkboxes and picklists on the KonaSearch page can be querying many different objects within Salesforce or from other data sources. To match recruiting candidates, the Digitalent search page can link to Project objects or any other Salesforce object, and each will connect to a Contact object.

Going forward, Digitalent is not constrained to their current Salesforce configuration. They can add new custom objects into its KonaSearch page within Salesforce, and query the attributes that will narrow results to the most relevant candidates.

In addition, KonaSearch maps postal codes to geographic coordinates to enable a radius search, saving time for the recruiter.

“I was really satisfied with KonaSearch, both building the custom pages and communicating [with the KonaSearch team],” Vasilić said. “We could choose everything we wanted for filters and facets. We knew what we wanted, but Kona also gave us some advice, assisting us in actually seeing what we could use.”

Impact: Vasilić tested KonaSearch by rerunning the same search criteria on past projects. She found 580 candidates of similar quality to the old search, which had found only 172 candidates.

One change KonaSearch created was especially significant. “I noticed that [after KonaSearch], the research team is more motivated to search for candidates in Salesforce,” Vasilić said. “Before, they would rather search on LinkedIn because that was easier.”

Cultivating relationships with client companies and potential job candidates is a crucial differentiator for Digitalent. Deploying KonaSearch strengthened not only the present-day candidate searches, but also relationship building for the company’s future.