Calibration against your last placement

    I rank this shortlist against the person the client actually hired last time, not against the job spec.

    Schedule

    On demand · On-demand.

    Integrations

    BullhornGreenhouse

    Channel

    Slack Email digest
    #hiringExample run
    You
    You

    @laidback calibrate this shortlist against the last two hires at this client.

    Laidback

    Done, here is the result:

    • 1.Pull the profile of the last accepted candidate at that client.
    • 2.Build the real pattern behind the hire, not the written spec.
    • 3.Re-rank the current shortlist against that pattern.

    Nothing goes out without you. The re-ranked list.

    How I run it

    • 1.Load past accepted and rejected candidates for the account.
    • 2.Infer the pattern behind accept and reject decisions.
    • 3.Re-score the current shortlist.
    • 4.Explain each movement in the ranking.

    What I need from you

    • —Which past hires to use.
    • —How much weight to give them.
    • —Any known changes at the client.

    Where I stop and ask

    • —Nothing outbound here, only your read of the list.
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