- About John
An in-depth analysis on how the right timing can dramatically improve recruiting
In my experience, the hardest-to-recruit exceptional targets are those who I label as “no, and stop calling me” passive top prospects who simply won’t accept a recruiter’s call. Even though most recruiters will tell you that their lack of interest in changing jobs is unwavering, my research has found that there are exceptions that may occur once or twice during each year, and I call them “their angry hours.”
During this brief time period the prospect is open to a recruiting discussion because something has recently occurred that makes them angry about their job, their manager, or their company. And for at least a few hours … that anger makes them suddenly receptive to recruiter calls and to new job opportunities.
If you’re going to be strategic in recruiting, realize that finding top performers and superstars on the Internet, on LinkedIn, and on social media is actually now quite easy. The remaining part of recruiting is selling, because it is extremely difficult 1) to get top identified prospects to even talk to you and 2) to “sell” these individuals to the point where they are willing to apply for your job. (more…)
When you survey the most frequent users of analytics and metrics in the corporate world, not surprisingly you find that HR ranks at the very bottom. Compared to finance, which is ranked No. 1, HR compares poorly with only half of its functions being classified as advanced users and three times more HR functions are classified as non-users.
HR shouldn’t be surprised to learn that the executive team came in No. 2 because they (along with finance) are at the forefront of demanding more metrics and analytics from HR. The remaining business functions, operations, R&D, marketing, and sales all had a higher percentage of advanced metrics users than HR in this excellent 2013 AMA/i4cp study. I have been a public advocate of talent management and talent acquisition shifting to a data-based model for decades but the transition at most corporations has been slow, expensive, and painful. Because I give regular presentations on analytics and metrics, I’ve been able to capture a long list of reasons why firms should shift to a data-based model. The remainder of this article is simply a list of credible reasons that resonate with most HR audiences as to why your corporate talent function should embrace metrics and a data-based decision model.
In 30 years, I have yet to see a retention bonus retain, let alone motivate, anyone. – Kate D’ Camp, former VP of HR at Cisco
Let’s face it: only a few people voluntarily spend any time thinking about the use of employee retention bonuses (ERBs). I wouldn’t either, except for the fact that a majority of major firms use them instead of much more effective retention approaches. The use of retention bonuses is at an all-time high but I wonder why, because they’re expensive and only occasionally do work. In my over 20 years of work as a thought leader and practitioner in retention, I have been unable to find any credible corporate data that even comes close to demonstrating the effectiveness of retention bonuses.
The major flaws of employee retention bonuses fall into three categories, which include:
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