A koronavírus-járvány kezdete óta számos vállalat fordult okos algoritmusokhoz, hogy kiderítse, ki a legjobb jelölt a nyitott pozíciókra. Leggyakrabban arckereső programokat, játékokat, kvízeket és más vizuális vagy nyelvi mintázatokat vizsgáló szoftvereket vetnek be, hogy eldöntsék, ki kerül be az interjúkörbe.
A jelek szerint a 2013 októberében alapított, ausztrál PredictiveHire nevű cég ennél is sokkal tovább ment: olyan gépi tanuláson alapuló algoritmust fejlesztett, amellyel felmérhető, hogy egy adott jelölt esetén mekkora a gyakori munkahelyváltás valószínűsége – írta a héten az MIT Technology Review.
Barbara Hyman, a HR-cég ügyvezető igazgatója szerint ügyfeleik olyan munkáltatók, akiknek rengeteg jelentkezést kell feldolgozniuk, és egyebek mellett az ügyfélkiszolgálás, a kiskereskedelem, az értékesítés vagy az egészségügy területén aktívak.
Amikor valaki a HR-cégen keresztül jelentkezik állásra, először egy chatbotot kell „meggyőznie” értékeiről. Az algoritmus nyitott kérdések sorát teszi fel, és olyan személyiségjegyeket elemez, mint a kezdeményezőkészség, a belső motiváció vagy az ellenálló képesség.
Sőt, az algoritmus a jövőben a gyakori munkahelyváltás valószínűségét – vagy ahogy a PredictiveHire honlapján reklámozza, a „menekülés kockázatát” – is vizsgálhatja, még teljesen pályakezdő jelöltek esetén is. A HR-cég legújabb tanulmányának fókuszában ugyanis egy olyan gépi tanuló algoritmus fejlesztése áll, amely kifejezetten ezt igyekszik előre megmondani. A kutatás keretében 45899 jelöltet vizsgáltak meg, akik korábban a PredictiveHire chatbotján keresztül válaszoltak a tapasztalataikról és helyzetmegítélő képességeikről szóló 5-7 nyitott kérdésre.
Ezek olyan személyiségjegyekre kérdeztek rá, amelyek korábbi kutatások – például a PredictiveHire saját kutatása – alapján szoros összefüggésben lehetnek a gyakori munkahelyváltásokkal, például az új élmények iránti nagyobb nyitottság vagy a gyakorlatiasság hiánya.
Nathan Newman, a New York-i John Jay College of Criminal Justice egyik egyetemi docense, aki 2017-ben arról írt tanulmányt, hogy a nagymintás adatelemzés a munkavállalók diszkriminációján felül hogyan használható a bérek letörésére, az MIT Technology Review-nak azt mondta, a PredictiveHire legutóbbi munkája
az egyik legkártékonyabb módja a big data munkaügyi alkalmazásának.
Ide tartoznak a gépi tanuláson alapuló, egyre népszerűbb személyiségtesztek is, amelyek azokat a potenciális munkavállalókat igyekeznek kiszűrni, akik nagyobb valószínűséggel támogatnák a szakszervezetekbe tömörülést, vagy hajlamosabbak béremelést kérni. Mindezt úgy, hogy az MIT Technology Review szerint a munkáltatók egyre jobban szemmel tartják dolgozóik e-mailjeit, online beszélgetéseit és minden olyan adatot, amelyből leszűrhetik, hogy az adott kolléga távozni készül-e, és kiszámolhatják, mi az a minimális béremelés, amellyel még adott esetben maradásra bírhatják.
Az Uber algoritmus alapú menedzsment rendszerei állítólag úgy igyekeznek távol tartani a munkatársakat az irodáktól és a digitális helyszínektől, hogy még véletlenül se tudjanak szervezkedni és kollektíven jobb fizetést vagy bánásmódot követelni.
A recent article in The New York Times declared “the relationship between American businesses and their employees is undergoing a profound shift: For the first time in a generation, workers are gaining the upper hand.”
It’s quite a statement, particularly within the US, where the issue of minimum wages has been an ongoing battle, with employers largely having the upper hand for decades. The article goes on:
“The change is broader than the pandemic-related signing bonuses at fast-food places. Up and down the wage scale, companies are becoming more willing to pay a little more, to train workers, to take chances on people without traditional qualifications, and to show greater flexibility in where and how people work.”
There are two things happening here to create this ‘moment in time’: the first is that companies are understanding that treating workers better has a long-term benefit in a market that has a talent shortage, which is something that we have seen signs of across markets emerging from COVID lockdowns. This is fantastic to witness and as a card carrying member of the “hire with heart” club I am profoundly excited to see candidates put front and centre. But, the second change is equally as groundbreaking and that is around qualifications and past experience. Companies are realising that qualifications and past experience can reduce a talent pool with very little to justify the benefit of doing so.
It’s a significant trend we’ve seen emerging over the last year, when Google and Microsoft announced that you didn’t need a college degree anymore to get a job there and also opted for on-the-job training certificates. Microsoft made it clear at the time that the move was a bid to address the lack of opportunity for underrepresented populations.
The NYT article highlighted the work done at IBM in taking a fresh approach through its apprenticeship program on how it views people’s qualifications for a job. Since 2017, in a bid to find better talent, executives concluded that the qualifications for many jobs were unnecessarily demanding and so they did away with them. Where jobs might have required applicants to have a bachelor’s degree in the past, for example, they realised a six-month on-the-job-training course would adequately prepare a person for the role. It’s been a huge success.
IBM’s senior vice president for transformation and culture is quoted as saying “By creating your own dumb barriers, you’re actually making your job in the search for talent harder.”
We couldn’t have put it better. You have to ask yourself when the world’s most innovative companies, and often the most competitive to work at, decide that qualifications don’t matter and that broadening their talent pool has better hiring outcomes, can you afford not to pay attention?
We think not.
In fact, Sapia was built specifically to ignore qualifications, CVs and past experience. That might seem like quite a radical thing, but we believe that is the only way we can truly empower companies to find the best talent and circumvent the (dumb!) barriers we all put up in our search for talent.
It’s not just qualification and past experience that don’t matter, CVs are a barrier as they are full of irrelevant information that only contribute to biased outcomes. Schools attended, past experience, gender, ethnicity, age can all be inferred from a CV even when names are removed. As hiring managers we scan them looking for queues that demote good hires based on no data, and no evidence – all while confirming our own biases.
Our technology was built so that companies can find undiscovered talent from attributes that qualifications, CVs and past experience can’t reveal by understanding the unique attributes that individuals bring to a job, and how those might align with the job requirements. We look further than any human can to understand what it is that motivates individuals, how they respond to things, what their strengths and weaknesses are and whether they might be a good fit for a job – based on real data.
If you want to attract talent and remain competitive in a market where the employee has the upper hand, you need to be doing more than”posting and ghosting”. You need to be doing more than looking at blind CVs, and haphazardly parsing information that does little to serve your company.
You need to draw a red line through past experience and qualifications. You need to treat everyone with heart. You need to be looking at what makes a person tick, and you need to respect the potential value everybody has. Anybody could be your next hire, and everybody should be considered.
That’s the only way you are going to be able to hire in this new – and welcome – world where candidates aren’t just numbers, but valuable, unique humans who you need, more than they need you. You need undiscovered talent.
Interested in a demo of our Lever integration? Fill out the form below!
Like Sapia, the team at Lever like to make life easy for recruiters. Lever streamline the hiring experience, helping recruiters source, engage, and hire from a single platform. Now you can supercharge your Lever ATS by seamlessly integrating interview automation from Sapia. Integrating is easy, and secures fairer, faster, and better hiring results. In the war for talent, you’ll pull ahead of your competitors even faster with Sapia + Lever.
Recruiters are expected to:
A lot is expected from recruiters, from screening thousands of applicants to attracting candidates of diverse backgrounds and delivering a great candidate experience. But technology has advanced a lot and can now better support recruiters.
The great news is that when you integrate Sapia artificial intelligence technology with the powerful Lever ATS, you will have a faster, fairer and more efficient recruitment process that candidates love.
You can now:
Gone are the days of screening CVs, followed by phone screens to find the best talent. The number of people applying for each job has grown 5-10 times in size recently. Reading each CV is simply no longer an option. In any case, the attributes that are markers of a high performer often aren’t in CVs and the risk of increasing bias is high.
You can now streamline your Lever process by integrating Sapia interview automation with Lever.
By sending out one simple interview link, you nail speed, quality and candidate experience in one hit.
Sapia’s award-winning chat Ai is available to all Lever users. You can automate interviewing, screening, ranking, and more, with a minimum of effort! Save time, reduce bias and deliver an outstanding candidate experience.
As unemployment rates rise, it’s more important than ever to show empathy for candidates and add value when we can. Using Sapia, every single candidate gets a FirstInterview through an engaging text experience on their mobile device, whenever it suits them. Every candidate receives personalized insights, with helpful coaching tips that candidates love.
Recruiters love that Sapia TalentInsights surface in Lever as soon as each candidate finishes their interview.
Well-intentioned organizations have been trying to shift the needle on the bias that impacts diversity and inclusion for many years, without significant results.
Let’s chat about getting you started – book a time here ⏰
To find out how to improve candidate experience using Recruitment Automation, we also have a great eBook on candidate experience.
Is your recruitment team overwhelmed by the sheer volume of job applications and CVs? Are you struggling to find the right candidates in a timely manner? Is administrative work taking up too much of your team’s time, leaving little room for building relationships or focusing on business growth?
If you answered “yes” to these common challenges faced by recruiters and hiring managers, recruitment automation can provide the solution you need. This is particularly relevant in a time of high unemployment when there is a larger pool of candidates actively seeking opportunities in various roles.
Recruitment automation processes can help increase productivity, expedite candidate selection, accelerate the hiring process, and reduce costs. Furthermore, it improves the candidate experience and enhances your organization’s talent profile and brand reputation. It’s no wonder that most recruiters and hiring managers have already integrated automation into their recruitment processes.
Recruitment automation systems, powered by AI, offer significant advantages. They streamline repetitive tasks, such as CV screening and initial candidate assessment, allowing your team to focus on more valuable activities. With the help of AI algorithms, these systems can quickly sift through a large number of applications, identifying the most qualified candidates based on predefined criteria. This significantly reduces manual effort and minimizes the risk of overlooking qualified individuals.
Additionally, recruitment automation systems improve the efficiency and speed of the hiring process. They facilitate seamless integration between various recruitment platforms, such as job boards and applicant tracking systems, consolidating data and eliminating the need for manual data entry and repetitive tasks. Automated workflows ensure that each step of the recruitment process is executed smoothly and consistently, from initial application to final hiring decision.
Moreover, recruitment automation systems enable better candidate engagement and communication. They support personalized and timely interactions, such as automated email responses and status updates, which enhance the candidate experience and maintain a positive employer brand image.
What is recruitment automation?
From the way we shop or pay bills online, to how we order food or choose our entertainment, data-driven technology has changed the way we do everyday things. Technology helps us to make better use of our time and lets us transact or connect in more convenient and efficient ways.
In much the same way, recruitment automation is the technology that automates or streamlines tasks or workflows within the recruiting process that would previously have been done manually.
These new technology tools and platforms address tasks at every step of the hiring process. They often leverage technologies such as machine learning, predictive data analytics and artificial intelligence.
Recruiting and HR are all about human capital. So at first, glance using machines and technology can seem counter-intuitive.
Recruitment automation technology, however, is not designed to take the human touch out of the equation, it’s designed to help humans work smarter.
Here are ten of the benefits and advantages:
Reviewing and screening CVs and job applications is widely acknowledged as time consuming and repetitive tasks of the recruitment process. It’s often one of the first processes that recruiters prioritise for automation.
In an age of high volume briefs– such as team roles in retail, customer service or graduate internships – it’s standard to receive a high volume of candidate applications. Properly and fairly reviewing every candidate among hundreds or even thousands is beyond any recruiter. It’s not, however, beyond the capacity of technology.
Sapia is a leading innovator in the recruitment technology space.
Since 2013, Sapia has worked to solve and consistently improve the frontier problem of every recruiter and every employer. That is how to get to the right talent faster while consistently improving the candidate experience.
Sapia’s solution addresses top-of-funnel recruitment needs with an artificial intelligence-enabled automated interview platform, designed to integrate seamlessly with leading Applicant Tracking Systems (ATS).
While some automated interview platforms use video and voice technologies, Sapia uses mobile-based text. Candidates know text and trust text, and they welcome the opportunity to tell their own story in their own words and in their own time.
The automated interview is built around a few open-ended text questions that can be customised to the specific role family – sales, retail, call centre, service etc – and specific requirements relating to the employer’s brand and employment values.
The platform uses AI, ML and NLP to provide reliable personality insights into every candidate. It can accurately predict candidates’ suitability for the role. Additionally, it can guide their progression through the recruitment process. It delivers insights that recruiters and employers need to make better hiring decisions at scale.
Sapia provides blind-screening at its best. The platform effectively takes a candidate’s gender, age, ethnicity and other traits out of the process. There is no visual content, voice data or video that can act as triggers to subjective bias. Also for most customers, even CVs are removed from initial screening.
The blind screening means all candidates are competing on a level playing field and have the opportunity to tell their story without the subjective biases of a traditional human interview or a cursory review of their CV. Blind screening also supports employers’ diversity goals.
Integrated with an ATS, a simple Sapia interview link sent to an applicant’s mobile lets recruiters nail speed of recruiting, quality of candidates and a better candidate experience in one.
Sapia will help to:
Improving the candidate experience is a priority for every recruiter and employer. This is as the effect of a poor experience can cause lasting damage to reputations and brands. Sapia is the only conversational interview platform with 99% candidate satisfaction. Candidates enjoy the process and value the personalised feedback/coaching tips.
Recruitment automation doesn’t describe just one technology product or platform. Automation will generally involve a suite of platforms, software, tools and technologies. All of them work together to provide end-to-end functionality throughout the hiring process. Integration with an applicant tracking system (ATS) or candidate relationship management (CRM) platform helps bring all the tools and data together in one place.
The efficiencies and savings of recruitment automation can be gained through every step:
Finally, discover how Sapia’s Ai-powered interview platform can help support your recruitment needs today. It’s a powerful way to bring all the benefits of recruitment automation to your business. You can also take it for a test drive here >