A recent CNN story quoted only 12% of companies used AI last year to deliver not just a faster status quo, but a complete reinvention of the way they work. The automated learning that comes from AI solutions grounded in machine learning also delivers exponential returns to those who start early.
That same news story quantified those benefits as a 20% increase in cash flows over 10 years and the inverse is true as well – a 20% decline in cash flows for those that wait. These kinds of stats should trigger ‘FOMO’ for any enterprise business.
‘BC’ (before Covid-19), the motivation ‘to AI in HR’ might have been the automation of manual expensive HR processes, like recruitment, in a world of declining HR budgets and growing concerns about the bias we humans bring to those processes.
‘To AI’ your HR processes can also go beyond your bottom line. It’s a way to humanise your candidate experience. A way to reduce the asymmetry of recruitment, to empower both sides to make the right decisions. It gives you this kind of candidate feedback from a solution that looks like this.
Right now, curiosity about AI is being replaced by a burning platform for change. For those wearing the exhaustion of surge recruitment using old traditional processes (not to mention the increased chances of bias as a result), the case for change is obvious. For everyone else who does any volume of recruitment, 4 factors will accelerate the move to AI solutions.
1. The need for humanity in your people processes especially recruitment.
Even though tragically it will soon be an employers market as unemployment rises, any organisations, including government, that can make that experience better for job seekers is onto a winner. Nothing sucks more than having to line up at Centrelink, or fill out endless tedious application forms, and then hear nothing.
We ‘live’ on our smartphones, we expect convenience and immediate results, we want to be able to navigate a wide range of opportunities fast and make decisions fast. This applies to services we consume regularly (think Uber Eats, Afterpay, even banking services such as our next home loan). That immediacy and convenience is now the new norm for consumers, and candidates as a consumer of their next job are looking for the same experience.
Imagine if your applicants only needed to answer 5 engaging questions over a text conversation. Every applicant also receives their own personalised feedback which helps them prepare for future interviews!
Compare recruitment to applying for a bank loan where AI has been in use for a decade or more. That’s now a reality with AI in recruitment.
Use Sapia’s FirstInterview to see how easy it is for you to give every job seeker a fast, simple and empowering experience.
And read what job seekers think about it here.
We specialise in volume recruitment for those roles where it is even more critical to hire the right people now. Frontline roles like your customer service teams, carers and health care workers, sales consultants, and blue-collar workers. Our ready-made predictive models are instantly deployable enabling you to go live in under an hour. When using our AI saves you at least $20 on every applicant, (i.e. if you receive 1000 applications, that is a saving of $20,000), and deployment is as easy a sending a link to your applicants, AI offers value to any sized organisation.
3. The right AI tool can remove bias from your recruitment and deliver a more diverse workforce
No amount of bias training will make us less biased.
The ability to measure bias is one reason to use AI-based screening tools over traditional processes. The growing awareness that AI can be fairer for people prompted the California State Assembly to pass a resolution to use unbiased technology to promote diversity in hiring.
Avoiding bias is why we use text data to assess applicants. With 25 million words to draw upon in our data bank, across 10 critical volume hiring roles, our approach is both bias-free in its design and its execution. Our technology is built on the advances in ML and NLP that allow computers to gain valuable insights from large volumes of textual data. Our AI is entirely ignorant of race, age, gender or any of those irrelevant markets of job fit.
Marketing guru Seth Godin wrote a blog a few years ago on the ‘real skills’ that matter in hiring.
Whilst we all know what matters for our roles, our teams, our culture- real skills like resilience, curiosity, humility, drive and so on, these attributes are invisible in a CV and very hard to assess fairly and scientifically in a phone call or f2f interview.
Using text data, we can not only uncover standard personality traits such as extraversion, openness, humility but also real skills that matter such a drive, critical thinking, team player and accountability. Our data science team has recently uncovered that the language one uses in answering standard interview questions show a correlation to how likely they are to hop jobs. New hires that leave early cost significant time and money for organisations. Identifying such candidates early on can help companies make better hiring decisions.
COVID-19 has forced a lot of us to become remote workers by default. Now more companies are now declaring it is likely to become their new norm, with little understanding of what successful remote teams look like.
Zoom exhaustion is a thing. The reality of working from home for many of us has become long days trying to get small tasks done between back-to-back video calls. The founder and CEO of Automattic, Matt Mullenweg, a company with over 1000 remote workers spread across 75 countries, chose remote as the working norm for two key reasons. First, to access a broader pool of talent, and second to unleash productivity. He describes five levels of remote work maturity. Most companies now forced into WFH are at Level 1. We have just moved our way of doing things to a different location and are following the same daily routines that we always have.
Mullenwag describes Level 5 as the ‘nirvana’ for remote work where your distributed team works better than any in-person team ever could. He says his company is not even there yet.
We have missed one of the drivers of remote work productivity gains which is asynchronous work- which needs asynchronous communication. This simply means that work doesn’t happen at the same time for everyone. Productivity and flexibility for employees come when we don’t all have to get in a room or via Zoom. That means communicating in writing, not by video is imperative.
Forcing people to do video meetings also risks continuing to drown out team members who don’t thrive in a live group setting. The introverts. The deep quiet thinkers. The ones who prefer to reflect on an issue and not be forced into making a contribution because everyone else is on Zoom. Again, written communication solves for this.
It’s quite simple, if you want a fully functioning remote team written communication is the way to go. It has to be the way you define a business problem, debate the key issues, and fast track from idea to execution.
Jeff Bezos cottoned on to this years ago. Amazon requires every meeting to be guided by a six-page memo laying out all the key issues. Everyone, regardless of their title, has to read every word. Bezos turned written narrative into a competitive advantage, recognising that writing clearly requires clear thinking. Effective written communication is a foundational building block of a successful remote workforce. GitLab, another fully remote organization with over 1000 employees across the world highlights this fact in their Remote Work Playbook (page 19).
This ‘new productivity hack’, how you write, whether via text, Slack, Wiki or on Google docs also impacts your hiring processes. At what point do any of us test for written communication skills when hiring? If you want to hire people who can work autonomously, be productive and who can collaborate you need to test their text communication. This calls for a radically different approach to talent acquisition.
Mullenweg worked that out early in Automattic’s remote working journey and all their job interviews are via text. The other obvious benefit of this approach is it means there is far less room for bias. In contrast, put someone in front of a camera for a video interview and the bias risk is amplified. Hiring going forward has to test for written communication. This is not something you can ignore anymore.
If you speak to C-suite about why it’s taken so long to permit remote work, the word trust will come up a lot. Bottom line, managers don’t trust that people will actually work when at home, creating instead an unproductive culture of ‘presenteeism’. To manage the risk of hiring ‘slackers’, the other thing you have to test for is motivation.
Other personality traits that relate to good remote workers include discipline. The advantage here is that we stop Big ‘P’ personality-based hiring. We have all made those hiring mistakes – inclined to the person who tells a good story. In a remote work environment, self motivated employees, big talkers and non-doers get discovered quickly!
What may not be known to many people, is that testing for written fluency, clarity of thought, motivation, discipline, can all be done via text analysis in the hiring process. Testing should not be just limited to the skill of writing. It should also test the motivation behind expressing something in writing. That requires more effort and thinking than speaking it out. If someone is not motivated to express themselves in writing when a job is on the line, you can assume what it might be like once they are on the job.
The power of Natural Language Processing (NLP) based machine learning models that can tell you all of this immediately is here today. From just 300 words, we can infer writing skills, personality traits and job hopping motives. This means there is no excuse for not hiring for the key skills required for remote work right now.
Noam Chomsky, a pioneer of language studies said it best –
“Language is a mirror of mind in a deep and significant sense. It is a product of human intelligence. By studying the properties of natural languages, their structure, organisation, and use, we may hope to learn something about human nature; something significant, …” (Noam Chomsky, Reflections on Language, 1975)
To find out how to improve candidate experience using Recruitment Automation, we also have a great eBook on candidate experience.
New insights from Aptitude Research suggest recruitment automation can play a much greater role in talent acquisition than just improving efficiency for hiring managers, it can also make the interview process more human for candidates.
The research shows that when you shift the focus from an employer-driven view to a candidate-first view, then it is possible to reduce bias in hiring and improve the overall human element of talent acquisition.
For most companies, the value of automation is perceived through the recruiter and hiring manager experience, with the benefits to the candidate often ignored. However, recruitment automation has to be about more than simply moving candidates through the process quickly to have any significant benefit to a company.
When you focus on the impact and experience of the candidate, the benefits to both recruiters and candidates can significantly improve through recruitment automation. This approach has given rise to a movement called humanistic automation technology.
But humanistic automation sounds like an oxymoron right? Is it even possible?
The Aptitude Research showed not only is this possible, but that when Ai is used this way, it creates personal connection at scale, and works to reduce bias, something no other technology or even human-centred solution can deliver.
So, how exactly does it do this?
There have been some slight improvements in building connections through the hiring process recently, but only 50% of companies have a single point of contact for communication, which results in candidates feeling engaged or valued through the process.
Recruitment automation with a candidate-focus means that communication is personalised for high-engagement with the ability for the conversation to adapt to what it learns about a candidate almost immediately.
As a candidate finding out that you are not successful is tough, and worse, most companies just ghost those they don’t wish to move ahead with. Automation can ensure that every candidate is engaged and cared for even when they are not moving forward in the process – and that doesn’t mean a standard rejection email. Ai can deliver highly personalised communication that builds connection even for those unsuccessful in their application.
Although some companies have made efforts to remove bias from resumes, companies still have a lot of work to do on inclusion. For starters, many are relying on training programs, which have shown to be largely ineffective in delivering long-term change.
It’s true that recruitment automation can amplify bias, but automation that works to reduce bias is continually testing against biases in the system and has been shown to be effective in reducing the impact of bias in hiring decisions. Somethings humans cannot do (we’re inherently biased, whether we like it or not).
When you have the right data input gathered through blind screening and blind interviews – that don’t rely on CV data – then you can help companies achieve an equal and fair experience to all candidates.
Inclusive hiring is not limited to gender and race. Companies need a broader view of diversity, equity, and inclusion that includes individuals with disabilities and neurodiversity. This requires the right digital tools and technology to ensure that candidates have a positive experience. In many cases, chat and text are more inclusive over video or even phone screening and interviews for these candidates.
Most companies see feedback as a risky area and something they have no ability to do in a fair and timely manner. Essentially this is a lost opportunity for learning and development.
When you see feedback as a value proposition of an employer brand, its power in transforming your TA strategy becomes clear. Recruitment automation allows companies to deliver personalized feedback building trust and strengthening your employer brand.
Personalized feedback with tangible action items, means that candidates feel empowered even if they are rejected. Technology can help to deliver these action items in a human way, that even humans are not able to do at scale or even very well.
These insights are only made possible through natural language processing and machine learning that work in the background to reveal important information about the candidate. When a candidate feels like they are ‘seen’ that can be a transformational moment in their career paths.
Only recruitment automation can deliver individual feedback to everyone who takes time to do a job interview.
In an era of growing awareness around the privacy of data, only 1 in 4 candidates trust the data being will be used to drive hiring decisions. As companies look at recruitment automation through a candidate-centric lens, they must consider both the quality of the data they use and how to build trust between employers and candidates.
The biggest mistake that most companies make is using the wrong data. Resume data is not necessarily an indicator of performance or quality of hire.
Ethical Ai is something that hiring managers need to understand and use to evaluate providers. Providers using ethical Ai operate transparently, are backed by explanations, describe their methodology, and frequently publish their data.
Aptitude Research found that when data is transparent, it increases the trust in talent acquisition leaders, hiring managers, and senior leaders. With data transparency, 84% of talent acquisition leaders stated that they trust the data, and 78% of senior leaders trust the data.
55% of companies are increasing their investment in recruitment automation this year. These companies recognise that automation can improve efficiency, lift the administrative burden, reduce costs, and enable data-driven decisions.
This report focuses on a new look at automation through the eyes of the candidate
After all, automation is more than moving candidates through a process quickly. It should also enable companies to communicate in a meaningful and inclusive way and build trust between candidates and employers.
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.
There’s a lot expected of recruiters these days. Attracting candidates from diverse backgrounds and delivering exceptional candidate care whilst selecting from thousands of candidates isn’t easy.
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.
Test drive it for yourself here (it takes 2 minutes!)
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 ⏰