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A commitment to diversity equity & inclusion (DEI) has been shown to enhance business performance. Not surprisingly, it starts during recruitment. Our Playbook highlights how the right talent acquisition software can help overcome DEI roadblocks throughout the hiring process.
Why diversity matters
Diverse teams foster new insights and drive innovative thinking by encouraging different solutions to problems. Employees who range in diversity have a commonality with customer needs, because they are more likely to share similar experiences with them. This is critical in frontline workplaces like Retail, Hospitality, and Care industries which often employ countless customer-facing roles.
Organisations that prioritise DEI tend to attract more talent. As many as two-thirds of all job seekers are looking for more diverse workplaces when assessing a job offer.
However, despite the benefits, there are still numerous barriers to DEI – not least of which is having sub-standard recruitment processes and outmoded software.
What’s wrong with traditional recruitment systems?
To attract diverse talent, you need to rethink traditional hiring practices in order to eliminate diversity barriers. Most recruitment systems are designed to filter and reject candidates, rather than inviting them to express interest in the employer brand.
Traditional DEI hiring approaches will typically:
Be band-aid solutions that only address certain diversity factors, or will not be comprehensive or holistic enough to make a genuine difference to DEI outcomes
Have accessibility factors which prevent diverse candidates from progressing
Address issues too late in the candidate journey
Lack powerful data analytics tools to track progress
Leading DEI hiring approaches will:
Provide engaging experiences for all candidates, regardless of background
Address DEI barriers at every stage of the candidate journey
Offer far greater accessibility than traditional recruitment methods
Proactively attract diverse candidates from the very beginning of the pipeline
Use Artificial Intelligence (AI) to help address unconscious bias and human error