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Would Your Best Employee Hire YOU Back?

0:53 · Video

A retention question for leaders: would your best employee hire you back?

In this short video, Vinay Pasricha asks leaders one question and tells them to answer it honestly: would your best employee hire you back? He points out that hiring was never a one-way decision, because the best people are always quietly judging the company in return. If the person you are most afraid to lose could choose their company again today, would they choose yours? He says most leaders never ask this because the answer is frightening, yet "would my people choose me again?" is the real signal. He suggests walking through the team name by name. The names where a leader hesitates, he argues, point not to a people problem but to a frequency problem, the idea at the centre of his book Organizational Frequency, and the only one worth solving.

Key points

  • Hiring is two-way: your best people are always quietly judging you back.
  • The key test: if your most valued employee could choose their company again today, would they choose yours?
  • Most leaders avoid the question because the answer is frightening.
  • Hesitation over a name signals a frequency problem, not a people problem.

Would your best employee hire you back?

Topics

Transcript

Full transcript · 120 words

I want to ask you one question and I want you to answer it honestly in your head. Would your best employee hire you back? Hiring was never a one-way decision. The best people are always quietly judging you back. If the person you're most afraid to lose could rechoose their company today, would they choose yours? Most leaders never ask this because it's terrifying. But that's the real signal.

Would my people choose me again? You already knew the answer before I finished the question. Walk through your team tonight name by name. Would they hire me back? The names where you hesitate, that's not a people problem. That's a frequency problem. And it's the only one worth solving.

Transcribed from the video's YouTube auto-generated captions, lightly cleaned for reading. Wording may differ slightly from the audio.

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