In Australia, we have seen large numbers of staff getting underpaid in some sectors, such as retail and hospitality. For some of these businesses, it’s precipitated the collapse of the company. For others, it’s impacted their share price as these businesses make provisions for back pay in the hundreds of millions of dollars.
Globally – the coronavirus impacts on HR more than any other function. HR has to lead on managing health and safety for employees, guide organisations on remote working, support the CEO and leaders on their internal communications and public response to coronavirus, and a lot more.
Apart from those current risks garnering a lot of media attention, what business risks really ought to matter to HR?
Ask a CEO of a sales/service business what they believe carries more risk to their bottom line – increasing turnover coupled with a high cost to hire, or a declining engagement score measured from a survey?
If you are hiring just 100 people a year, you can expect to LOSE 80 DAYS of work capacity to recruitment. Using automation tools like ours reduces that by 80% giving back 504 hours to the business. Click here to see case studies on time savings from using PredictiveHire.
1. Cost to hire – which should be the direct (the recruitment team for example) and indirect costs (the opportunity costs of all the people involved in recruitment)
2. Time to hire for any organisation that relies on frontline staff to deliver value- sales or customer service
3. Turnover especially early churn and non-regrettable churn, which is a good objective measure for quality of hire
4. The percentage of promotions within, only if you use hard objective data to make those decisions
5. Most of all, whether these metrics are going in the right direction quarter on quarter
Suggested Reading:
https://sapia.ai/blog/to-ai-or-not-to-ai/
It seems that using AI could consign fantastical or over-optimised resumes to the dustbin of history, along with the Rolodex and fax machines.
But how do we go about selecting the perfect (or as close to perfect as possible) candidates from AI-created shortlists?
It should be so easy to learn how to conduct an interview that adds the human element to the AI selection. The web is awash with opportunities to earn recruitment qualifications from a variety of bodies, both respected and dubious. There are so many manuals, guides and blog-posts on the best ways of interviewing. People have been interviewing people for hundreds of years.
And yet…
We’ve all heard about bizarre interview questions (no explanation needed). We’ve felt the pain of people caught up in interview nightmares (from both sides of the desk). And we’ve scratched our heads and noses over the blogs on body language in face-to-face interviews(bias klaxon).
Even without the extremes, people have tales to tell. Did you ever come away from an interview for your ideal job, where something just felt wrong?
It’s clear that adding human interaction to the recruitment process is by no means straightforward. Highlighting these recurring problems doesn’t solve the underlying question, which is:
“We’ve used an algorithm to better identify suitable candidates. How do we ensure that adding the crucial human part of hiring doesn’t re-introduce the very biases that the algorithm filtered out?”
Searching for “Perfect interview Questions” gives 167,000,000 results. Many of them include the Perfect Answers to match. So it’s not simply about asking questions that, once upon a time, were reckoned to extract truthful and useful responses.
Instead we want questions that will make the best of that human interaction, building on and exploring the reasons the algorithm put these candidates on the list. Our questions need to help us achieve the ultimate goal of the interview: finding a candidate who can do the job, fit with the company culture AND stay for a meaningful period of time.
It’s generally agreed that we get better interview answers by asking open questions. I’d expand on that. They should ideally be questions that don’t relate specifically to the candidate’s resume, or only at the highest level, to get an in-depth understanding.
We should try to avoid using leading questions that will give an astute candidate any clues to the answers we’re looking for. And we should probably steer clear of most, if not all, of the questions that appear on those lists of ‘Perfect Interview Questions’, knowing that some candidates will reach for a well-practised ‘Perfect Answer’. We want them to display their understanding of the question and knowledge of the subject matter. Not their ability to recall a pre-rehearsed answer.
And so, we need to remember that we’re looking for the substance of the answers we get, not the candidate’s ability to weave the flimsiest material into an enchanting story.
So, here are some possible questions to get you thinking.
Of course, you’ll need to frame and adjust those questions to match the role and your company.
AI equips recruiters with impartial insights that resumes, questionnaires and even personality profiles can’t provide. Well-constructed, supervised algorithms overlook all the biases that every human has. And that can only be a good thing.
Statistically robust AI uses an algorithm, derived from business performance and behavioural science, to shortlist candidates. It can predict which ones will do well, fit well and stay. We can trust it to know what makes a successful employee, for our particular organisation and this specific role. It can tell us to invest effort with the applicants on that shortlist. However unlikely they seem at first glance.
So we can use all of our knowledge and skills to understand a candidate’s suitability and look beyond things that might have previously led us to a rejection.
AI is the recruiter’s friend, not a competitor. It can stop us wasting time chasing candidates who we think will make great hires but instead fail to live up to the expectation. And it can direct us to the hidden gems we might have otherwise overlooked.
Technology like AI for HR is only a threat if you ignore it.
Don’t be that company that still swears by dated processes because that’s the way it’s always been done. The opportunity here is putting technology to work, helping your organisation evolve for the better. The longer the delay, the harder it will be. So don’t be left at the back playing catch-up.
There are very few businesses these days that communicate by fax machines – and that’s for a reason. In a few years, you’ll look back and wonder “Why didn’t we all embrace Artificial Intelligence sooner?”
Being able to access interview automation just got so much easier inside Tribepad, with Sapia. To explore the use cases for Sapia, let’s chat.
Here’s a quick rundown:
And now that we are integrated into Tribepad, you get all of these smarts inside your existing Tribepad application. At Sapia, we interview every applicant in-depth and at scale for you. Overall, this is by using a text chat that helps you find the best people fast. Our underlying data science has been accepted and published in international journals.
Firstly, no one’s time is served well by screening thousands of CVs. With every additional applicant costs your business an extra $20 in screening if you are doing it the old way, automating the screening process is the commercial decision companies are now making.
Once your vacancy is created in Tribepad, a corresponding interview link will also be created.
Candidates click this link to enter their text-based interview. This is known as the ChatInterview.
As soon as candidates complete their interview their results are displayed inside Tribepad. You also get to see the candidate’s personality assessment. With the pre-assessment already done for you, it makes shortlisting much faster. Thus, by sending out one simple interview link, you nail speed, quality and candidate experience.
The SmartInterview experience is most commonly used for high-volume recruiting. Our customers typically use it in frontline customer-facing roles (like contact centres, customer service) and/or for low-skill roles.
We help manage the disconnect between attraction and retention. This is all done by allowing Recruitment Teams to work more efficiently to hire the best talent. All is done whilst ensuring the applicants feel good about applying for a job role.
Sapia solves the time problem of managing a large applicant pool. It also tackles the quality problem of pin-pointing the best people from that pool. Additionally it solves the candidate experience problem by offering every applicant a fair chance at the opportunity (everyone gets an interview) on platforms they love to use. Simultaneously every candidate gets something of immense value in return for their application.
We are glad you are asked! The first thing to note is Sapia is a paid app and sold separately. Next, to explore the pricing that suits your organisation, let’s chat. Lastly, our team can take you through the integration process and describe how the interview automation experience works.
Also, to keep up to date on all things “Hiring with Ai” subscribe to our blog!
Finally, you can try out Sapia’s SmartInterview right now, or leave us your details here to get a personalised demo.
Being able to access interview automation just got so much easier inside Workday, with Sapia.
To explore the use cases for Sapia, let’s chat.
Here’s a quick rundown:
And now that we are integrated into Workday, you can get all of these smarts inside your existing Workday application. Sapia interviews every applicant in-depth and at scale for you – all by using a text chat that helps you find the best people fast. Our underlying data science has been accepted and published in international journals.
Firstly, no one’s time is served well by screening thousands of CVs. With every additional applicant costs your business an extra $20 in screening if you are doing it the old way, automating the screening process is the commercial decision companies are now making.
Thus, making it fairer and faster for everyone.
Sapia is used by a diverse range of business all around the world. Still, most of them have similar challenges:
Once your vacancy is created in Workday, a corresponding interview link will also be created.
Candidates click this link to enter their text-based interview. This is known as the Chat Interview.
As soon as candidates complete their interview, you will see their results inside Workday. All candidates are scored and ranked. You also get to see the candidate’s personality assessment, role-based traits and communication skills. With the pre-assessment already done for you, shortlisting is made faster.
By sending out one simple interview link, you nail speed, quality and candidate experience in one hit.
The FirstInterview experience is most commonly used for high-volume recruiting. Our customers typically use it in frontline customer-facing roles (like contact centres, customer service) and/or for low-skill roles.
Sapia helps manage the disconnect between attraction and retention. This allows your Recruitment Teams to work more efficiently to hire the best talent whilst ensuring the applicants feel good about applying for a job role.
Additionally, Sapia solves the time problem of managing a large applicant pool. It tackles the quality problem of pin-pointing the best people from that pool. It also provides an answer to the candidate experience problem by offering every applicant a fair chance at the opportunity on platforms they love to use. As an added bonus every candidate gets something of immense value in return for their application.
We are glad you are asked! The first thing to note is Sapia is a paid app and sold separately. Furthermore, to explore the pricing that suits your organisation, let’s chat. We can take you through the integration process and describe how the interview automation experience works.
To keep up to date on all things “Hiring with Ai” subscribe to our blog!
Finally, you can try out Sapia’a Chat Interview right now, or leave us your details to get a personalised demo