The scary thing is that this feature (its URL) can be applied for any of the Facebook users so it can be a rather powerful sourcing tool when looking for colleagues, peers and other employees of a company! Facebook, we love you! 😛
Let’s say we are after support engineers at Microsoft in Netherlands…
As we need at least one name (candidate) for a start go for LinkedIn and do a quick search. You will get some good results by using a basic search string but say, it is not enough for now. You want to find more of these guys or even more: you want to find all of the support engineers at Microsoft Netherlands.
So once you have identified a good profile go and check him on Facebook. If you have some luck you will find his friends being visible for a non-friend visitor, too. As you have to have two users for using the ‘See friendship’ function you either search for another Microsoft employee through other channels or easily check who else is among this candidate’s friends working for Microsoft.
By choosing the ‘Search by workplace’ option you can add the company name. Please note, this will bring not only current employees but everyone else, too who has ever added Microsoft as their workplace.
Go for the ‘See friendship’ link and replace your and your friend’s ID with your candidates’ IDs. The Facebook ID is in the URL like this:
And here we go! After replacing the IDs you will see who these users know in common. Certainly, it can happen that not all of the results are (current) Microsoft employees.
The trick is based on the assumption that the mutual friends of two current employees should be colleagues (or former colleagues) from the same company.
It is quite powerful, isn’t it! 😀
This tool can be helpful for any talent mapping project. Also, it can bring those profiles, too, whose, for instance, LinkedIn profile is poor in data.
I believe this is a basically new methodology of Talent Sourcing that I would call: network-based sourcing. Here we are not applying Boolean or any keyword-based searches but tapping into a network to find candidates based on friendship, interest and a ‘common story’.
Good hunting, folks!
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