Category: General
Nov 13, 2024
The Fallacy of "X Years of Experience" in Job Postings
Are we stuck in an outdated hiring paradigm?
I recently came across a study that reinforced my dislike of one of the most common requirements in job postings: "X years of experience." This statement is often meaningless and not helpful for finding the right candidate. Why? The number of years in a role is not an indication of expertise.
Research shows that after the initial learning curve, many professionals don't significantly improve their skills just by accumulating more years on the job. What matters is the quality of that experience and continuous learning. Orlando Bloom, in a recent TV show, Learned to fly a wingsuit. This usually takes at least 200 jumps and many months of practice. Bloom did it in two months.
How do you think that the mechanic with 20 years of experience working on classic cars, would fare if asked to service the complex supercars of today?
Expertise is about Pattern Recognition. True experts don't just have more time in a field; they've developed superior pattern recognition through deliberate practice and feedback. For some, this can happen in 2 years; for others, it never happens even after 20 years.
Strict year requirements can exclude talented individuals who may have gained equivalent skills through non-traditional paths or intensive, quality experiences in less time.
In many industries, especially tech, the landscape changes so quickly that someone with fewer years but more recent, relevant experience might be better suited for a role.
Sometimes, fresh perspectives from those with less traditional experience can drive innovation and new solutions.
Instead of asking for "X years of experience," what if we focused on:
Demonstrable skills and achievements
Problem-solving abilities
Adaptability and learning capacity
Relevant project experience
It's time for our hiring practices to evolve to match the dynamic nature of modern work.
#Hiring #TalentAcquisition #WorkforceDevelopment #HR
Are we stuck in an outdated hiring paradigm?
I recently came across a study that reinforced my dislike of one of the most common requirements in job postings: "X years of experience." This statement is often meaningless and not helpful for finding the right candidate. Why? The number of years in a role is not an indication of expertise.
Research shows that after the initial learning curve, many professionals don't significantly improve their skills just by accumulating more years on the job. What matters is the quality of that experience and continuous learning. Orlando Bloom, in a recent TV show, Learned to fly a wingsuit. This usually takes at least 200 jumps and many months of practice. Bloom did it in two months.
How do you think that the mechanic with 20 years of experience working on classic cars, would fare if asked to service the complex supercars of today?
Expertise is about Pattern Recognition. True experts don't just have more time in a field; they've developed superior pattern recognition through deliberate practice and feedback. For some, this can happen in 2 years; for others, it never happens even after 20 years.
Strict year requirements can exclude talented individuals who may have gained equivalent skills through non-traditional paths or intensive, quality experiences in less time.
In many industries, especially tech, the landscape changes so quickly that someone with fewer years but more recent, relevant experience might be better suited for a role.
Sometimes, fresh perspectives from those with less traditional experience can drive innovation and new solutions.
Instead of asking for "X years of experience," what if we focused on:
Demonstrable skills and achievements
Problem-solving abilities
Adaptability and learning capacity
Relevant project experience
It's time for our hiring practices to evolve to match the dynamic nature of modern work.
#Hiring #TalentAcquisition #WorkforceDevelopment #HR
Are we stuck in an outdated hiring paradigm?
I recently came across a study that reinforced my dislike of one of the most common requirements in job postings: "X years of experience." This statement is often meaningless and not helpful for finding the right candidate. Why? The number of years in a role is not an indication of expertise.
Research shows that after the initial learning curve, many professionals don't significantly improve their skills just by accumulating more years on the job. What matters is the quality of that experience and continuous learning. Orlando Bloom, in a recent TV show, Learned to fly a wingsuit. This usually takes at least 200 jumps and many months of practice. Bloom did it in two months.
How do you think that the mechanic with 20 years of experience working on classic cars, would fare if asked to service the complex supercars of today?
Expertise is about Pattern Recognition. True experts don't just have more time in a field; they've developed superior pattern recognition through deliberate practice and feedback. For some, this can happen in 2 years; for others, it never happens even after 20 years.
Strict year requirements can exclude talented individuals who may have gained equivalent skills through non-traditional paths or intensive, quality experiences in less time.
In many industries, especially tech, the landscape changes so quickly that someone with fewer years but more recent, relevant experience might be better suited for a role.
Sometimes, fresh perspectives from those with less traditional experience can drive innovation and new solutions.
Instead of asking for "X years of experience," what if we focused on:
Demonstrable skills and achievements
Problem-solving abilities
Adaptability and learning capacity
Relevant project experience
It's time for our hiring practices to evolve to match the dynamic nature of modern work.
#Hiring #TalentAcquisition #WorkforceDevelopment #HR
Jan 1, 1970
Why Every Business Needs a Generative AI Policy—Even If You're Not Using AI Yet
Generative artificial intelligence (AI) has emerged as a transformative force across industries. While some businesses are quick to adopt AI solutions, others may believe that if they're not actively using AI, they don't need to worry about it. However, even if you have no formal plans to integrate AI into your operations, having a generative AI policy is essential. Here's why.
Jan 1, 1970
Navigating the Consulting Maze: Best Practices for Hiring the Right Expert
Hiring a consultant can be a game-changer, bringing fresh perspectives and specialized expertise to your business. However, navigating the consulting landscape can be daunting. This guide provides essential steps to ensure a successful engagement:
Jan 1, 1970
The Consultant Conundrum: Why Finding the Right Fit Feels Like Searching for a Unicorn
Hiring a business consultant can feel like navigating a minefield of buzzwords, As a business owner or manager seeking external expertise, you face a daunting task – sifting through a sea of potential candidates to find the elusive unicorn: a consultant who genuinely understands your needs, delivers tangible results, and doesn't break the bank.
Jan 1, 1970
Why Every Business Needs a Generative AI Policy—Even If You're Not Using AI Yet
Generative artificial intelligence (AI) has emerged as a transformative force across industries. While some businesses are quick to adopt AI solutions, others may believe that if they're not actively using AI, they don't need to worry about it. However, even if you have no formal plans to integrate AI into your operations, having a generative AI policy is essential. Here's why.
Jan 1, 1970
Navigating the Consulting Maze: Best Practices for Hiring the Right Expert
Hiring a consultant can be a game-changer, bringing fresh perspectives and specialized expertise to your business. However, navigating the consulting landscape can be daunting. This guide provides essential steps to ensure a successful engagement:
Jan 1, 1970
Why Every Business Needs a Generative AI Policy—Even If You're Not Using AI Yet
Generative artificial intelligence (AI) has emerged as a transformative force across industries. While some businesses are quick to adopt AI solutions, others may believe that if they're not actively using AI, they don't need to worry about it. However, even if you have no formal plans to integrate AI into your operations, having a generative AI policy is essential. Here's why.
NeWTHISTle Consulting
DELIVERING CLARITY FROM COMPLEXITY
Copyright © 2024 NewThistle Consulting LLC. All Rights Reserved
NeWTHISTle Consulting
DELIVERING CLARITY FROM COMPLEXITY
Copyright © 2024 NewThistle Consulting LLC. All Rights Reserved
NeWTHISTle Consulting
DELIVERING CLARITY FROM COMPLEXITY
Copyright © 2024 NewThistle Consulting LLC. All Rights Reserved