Build Winning Teams with iMocha

Company News, Diversity & Inclusion, iMocha Engineering Product Updates Remote Hiring Skills Assessment

All Posts

Let's face it.. mistakes are made, leading to bad hires that cost recruiters extra time and money.

It is not always recruiter's mistake that lead to bad hire, but it is sometimes the candidate too. While recruiters can’t control the actions of candidates, what can be done is improve the hiring and selection process. A lot of mistakes has to do with how well a recruiter or employer source, screen, and sell candidates.

Here I have compiled seven recruiting mistakes that Recruiters or Employers must avoid. Let's zoom in each one of them.

recruiting mistakes

Are you making these mistakes?

Nikita, iMocha
Nikita, iMocha
Content Writer at iMocha

Topics: Tech Recruitment

Related Posts

Top Python & Data Science Skills That You Must Look for Before Hiring Data Scientists with Python

Data science has grown from a few scattered seeds to a thriving forest in these couple of years. Every second, approximately 1.7 megabytes of new knowledge is generated for every person on the planet, and the Artificial Intelligence (AI) market is expected to exceed $100 billion by 2025. Thus, it’s helpful to hire Data Scientists! 

How The Top Orgs Hire Python Developers [2021 Updated]

Let’s imagine a situation - You are a company owner and have gained support from investors and got the opportunity to demonstrate your product in the market. With excitement, you recruit an engineering team to work on the first edition. But, as time passes, the investor funding is running out. What if, if you haven't got anything to offer them? Isn't it a threatening nightmare?