Bring the Science of Context to Succession Planning 

Succession planning isn’t just about filling vacancies. It’s about finding leaders who can truly excel in each role. 

Traditional approaches often focus on familiar names, but true leadership impact comes from matching people’s strengths and experience to the unique demands of every position. 

SHL has discovered a missing factor in traditional selection methods: context.

Join us for a forward-looking session where we help you identify, select and develop leaders with greater precision. 

Can’t attend live? Register anyway, and we’ll send you the recording.

Register for the Webinar

ABSTRACT

The wrong leaders are often selected using a one-size-fits-all leadership model. Succession plans are often static, decided once and executed when it is time to backfill roles. 

Taking context into consideration dramatically improves your ability to predict leader performance and gives organizations the opportunity to plan for multiple scenarios. 

This session will help you identify, assess, select and develop leaders with greater precision, which in turn leads to greater leader success.

What you’ll take away

  • Why traditional methods aren’t meeting today’s leadership needs 
  • How to build a strong succession pipeline when the future is uncertain 
  • Why context is important in leadership roles 
  • How organizations can make succession planning fair and inclusive 
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Meet Your Speaker
The Science of Context | November 18 | 3:00 PM IST
Jaishree Sethi
Senior Solutions Engineer
Jaishree is a Senior Solutions Engineer in SHL’s Centre of Excellence team with over 15 years of experience in talent assessments and leadership development. Her expertise spans the full suite of SHL’s talent management solutions, supporting organizations in identifying, developing and mobilizing talent across all levels. She has partnered with global clients to design and implement data-driven strategies using robust assessment frameworks and SHL’s AI-powered tools.

Find out more at shl.com

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