The Halo Effect: Every farm needs a donkey and unicorns ??
Who cares where you've worked before?
I don't (kind of). When I meet a candidate I try to create a clean slate where they need to demonstrate competency, capability and that they're not a d**khead.
But I've been having some really interesting discussions with Hiring Mangers of late that suggests there is still a broad conscious bias when reviewing candidates whereby if someone used to work at Google, Facebook, Atlassian, Canva, Microsoft, Bain etc then they must be good, I mean why wouldn't they be?
Now let's be real, these companies hire exceptional talent, but did the candidate sat in front of you have the original idea? Did they build the company from scratch or contribute significantly? Should the success of their past employer shine a light on them? This is called the Halo Effect.
And as the title says, every farm needs a donkey and having worked in a global organisation of 400,000 employees, not everyone is exceptional.
However, as we move into an era where job-hopping and career fluidity are increasingly prevalent, it's essential to recognise that work history can create biases that may not reflect a candidate's true capabilities.
Let's dig into it.
The Halo Effect
Work history bias, also known as the "halo effect," is a cognitive bias that affects the way we perceive candidates based on the companies they've previously worked for. This bias assumes that if an individual has worked at a well-known, successful company, they must be highly skilled, talented, and deserving of attention. The reverse is also true: if a candidate has a less impressive work history, they are often unfairly dismissed or undervalued.
While there's no denying that prestigious companies often attract top talent and provide exceptional professional development opportunities, it's a mistake to assume that every employee who has walked through their doors is equally exceptional. Work history bias can lead to a narrow focus on where a candidate has worked rather than evaluating their skills, qualifications, and potential. This bias can result in missed opportunities to uncover valuable hidden gems who may not have had the chance to work for a high-profile company.
The Next Generation of Workers
As the job market evolves, we see a significant shift in the career paths and work preferences of the next generation of workers. This demographic is more inclined to change jobs frequently, explore diverse roles, and embrace a more fluid approach to their careers. For them, the traditional notion of a "stable job" often doesn't apply, and they place greater value on acquiring a variety of skills and experiences.
Here are some considerations when reviewing candidates with a diverse work history:
领英推荐
So What?
I'm not saying work history bias isn't always applicable, it is. You may only be hiring for a specific niche industry or need specific experience. In particular it's important when you're in a small organisation as the transition from corporate to small can be challenging as any startup founder would know.
Instead I believe it's most important to be conscious of biases created by work history and recognise that you're actually looking more at work experience or accountability, not company brand.
Relying solely on the reputation of a candidate's previous employers can lead to missed opportunities and the exclusion of potentially excellent hires.
Focus on assessing skills, competencies, adaptability, and problem-solving abilities, while also considering their work history as part of a more rounded perspective of a candidate.
Embrace the unique perspectives and transferable skills that candidates from various work backgrounds bring to the table. By doing so, you can foster a more inclusive and innovative work environment.
It's time to recognise that a person's potential goes beyond the brand they've worked for, and the next generation of workers is leading the way in this paradigm shift.
And as for donkeys, they're actually really important and there's a reason farms need donkeys:
So founders and business leaders, maybe you don't just need unicorns (if they even exist)...........
Director at EY | Technology M&A | Process led transformation | Enterprise Architecture
1 年An excellent read Adam Caines … couldn’t agree more …thank you ????
?????? Technical Recruiter @ AWS & The Messenger of Opportunity
1 年Seems like the perfect solution would be a product that removes the ability to assess biases?