Volume hiring on a tight timeline can strike fear into even the most experienced recruiter! More often than not, the fallout of failing to hire enough people causes real pain to the business, managers, and you.
So, how can you tackle high volume recruiting and get better with a high volume recruiting strategy each time? Here are our pro tips.
High volume hiring, often termed high-volume recruiting, is the process of recruiting for many positions (50 or more) concurrently or in a very limited period of time. Often the 50+ roles will be of the same job type. It also implies high volumes of applicants coming through for recruiter’s review, making high volume recruiting tools crucial.
Volume hiring in recruitment, also known as volume recruitment or bulk recruitment process, is common in retail and hospitality, where many people have to be hired quickly for busy periods, events, and new store or restaurant openings. Graduate recruitment in large organizations often falls under high volume recruitment, as does hiring for nurses, other health workers, and call centre staff. A proper high volume hiring strategy is pivotal in these sectors.
During C-19, we saw the emergence of surge hiring – again, another form of high-volume hiring where thousands of people are needed in-store or in the contact-centre within days.
High volume recruiting challenges to overcome
Apart from the sheer logistical challenges, there are five major high volume recruiting challenges organisations face.
In a perfect world, recruitment requirements can be anticipated and planned for using the right high volume recruiting tools, but that’s not always the case. That’s why a scalable, repeatable high volume recruiting strategy is essential.
The cost can easily go over budget too. This is where scalable processes, talent pooling, and high volume recruiting tools are your allies.
Getting the candidate experience right at scale isn’t easy, but it’s essential. Otherwise, your marketing department will be asking some serious questions, and you’ll find it much harder to find good applicants in the future.
Sometimes a candidate’s decision whether or not to take a role is related to their hourly rate. But more and more often, candidates want to work for a company that aligns with their values and offers learning and development opportunities. Make sure you articulate your EVP well using an effective high volume recruiting strategy. Your competitors will be using their EVP to try and snaffle your candidates.
Now you know the major high volume recruiting challenges, it’s time to put together the right volume hiring strategies to help you overcome the challenges, and attract and hire the best people.
Bulk hiring techniques have come a long way over the years, from Applicant Tracking Systems scanning and scoring CVs, to the explosion of recruitment Ai now available. Let’s take a look at the volume hiring best practices you can use to make each stage of the bulk recruitment process scalable, fast and fair.
There are six major milestones in the bulk-hiring process. Discover, engage, assess, interview, decide and validate. Each stage is equally important, and most stages of the bulk-hiring process can be streamlined so that they’re highly scalable. (The Interview and Decide stages are the most time and resource-intensive, but they’re well worth the investment.)
Ensuring the right potential applicants find you is the first step in getting volume hiring in recruitment right.
Remember:
Lean into your Applicant Tracking System (ATS). Spend your time writing a great ad highlighting your EVP and let the ATS do the heavy lifting of shipping to multiple job boards.
Think about how applicants from underrepresented backgrounds can find your ad, and make it clear everyone’s welcome.
For retail and hospitality, don’t forget walk-in applicants. Check if you can use a ‘kiosk mode’ or similar with your ATS so applicants can fill in their details on an iPad rather than having paper applications pile up on manager’s desks (and get lost!).
Check previous applicant pools and ask for employee referrals.
Measure:
Performance of each advertising channel (ideally by how many successful candidates the channel attracts)
The diversity of your applicant pool
Pro tip:
People want to know what it’s like to work at your organisation. Ideally, have a video on the ad with people in a similar role explaining what it’s like. If you’re in a hurry – include quotes from an employee or two.
Once you’ve got an applicant’s attention, you need to make sure they stay interested.
Remember:
Applicants are applying for multiple positions, and the organisation who delivers the best candidate experience wins. Make communications look as 1:1 as possible.
Measure:
Application completion rate. This will tell you if the process is working, or if there’s something putting potential applicants off. This could be the length of the form, a confusing requirement, or even a technical glitch.
Pro tip:
Put some character into your application received responders. Write as you talk rather than like a bureaucrat. And don’t say: we can’t get back to everyone if you don’t hear from us you’ve been unsuccessful (or similar). If you expect candidates to put energy into applying, put energy into replying.
Now you’ve got a pool of candidates; you need to assess them.
Remember:
Sadly, CVs have proven themselves to not be a good way to assess future performance, and they only reinforce biases. This is an opportunity to disrupt the usual bulk-hiring techniques with something that delights candidates and hiring managers.
Measure:
Candidate satisfaction. This will tell you how candidates find the experience. It’s is a good indicator that offer acceptance should be healthy, and that you won’t lose customers who are candidates. Some recruiting platforms offer candidate satisfaction surveys, or you can choose to use your employee engagement platform.
Pro tip:
We created Smart Interviewer, our conversational chat technology so that every candidate could have an interview. Not only do you get detailed responses to questions, but the answers also reveal more about the candidate’s personality than any CV ever could. Using natural language processing, we’re able to build an accurate personality profile. Every single candidate receives automated, personalised feedback, and they love it. One supermarket client, Iceland, interviewed 50,000 candidates and received a 100% candidate satisfaction score.
Once you have the results of Ai chat assessments, you’ll want to interview the candidates whose scores and profiles appear to match your requirements.
Remember:
Have a diverse selection panel (especially if you have a diverse talent pool).
Be consistent in how you interview and assess each candidate. Especially in group interviews, don’t be tempted to hire extroverts. You need a mix of personalities to build a successful team.
Measure:
Attendance. If there’s a significant drop-off, look into why.
Pro tip:
We created Talent Insights so you can easily see each candidate’s score and psychometric profile informed by their Ai chat responses before you speak with them. We designed our Live Interview platform to make collecting and recording consistent data easy, so you can ensure everyone gets a fair go (and you don’t have to sort through impossible to interpret notes after your meetings).
Now you’ve got a list of fantastic candidates, you’ve met them, and you’re ready to invite some of them to join you.
Remember:
Now is not the time to fall back on ‘gut feeling’ or ‘culture fit’. Use the data you’ve collected to make informed, unbiased bulk-hiring decisions.
Know in advance if you’ll accept a candidate with minor flags in background checks or character references in place of professional ones. Stick to the decisions when you’re in those situations.
Measure:
Offer acceptance rate – to uncover any underlying issues with how attractive your EVP or employer brand is.
Applicants to hire rate – to understand if you could advertise less or in fewer channels in future.
Candidates to hire rate – to understand if you can optimise the size of your interviewed candidate pool.
Pro tip:
Start onboarding the moment an employee signs. Invite them to your learning platform, or simply send them a video from their manager or the CEO welcoming them on board and saying how excited you are to have them.
To ensure your process is working, it’s essential to measure your success.
Remember:
Book in an hour or two a week or so after the end of each bulk recruitment process to analyse the data.
Take a look at the list of challenges above, and any goals you had at the start of the process and see how you tracked against them.
Measure:
Candidate satisfaction
This will come from surveys sent to all candidates. It’s built into Sapia and most other recruitment software.
Time to hire
The elapsed between when a candidate is first contacted (in these volume hiring strategies, the assess stage) and when they’re hired.
Cost per hire
All of the hiring costs, divided by how many candidates were hired.
Offer acceptance rate
The number of offers accepted, divided by the number of offers made, multiplied by 100. If this is low, consider any issues with your EVP or the time it takes to make an offer after an interview.
Diversity
At Sapia we don’t collect attributes which could attract bias. We build an understanding of diversity by using Namsor (www.namsor.com) in order to validate the effectiveness of our platform. Namsor takes names of applicants and derives gender and ethnicity, and we use that data to understand how effective we have been at achieving diversity at each step of the path.
Pro tip:
Measure, learn and optimise your high volume recruiting strategies every single time you complete a project, and you’ll find you improve each time. This will save time and money, and increase diversity.
Technology is your friend when it comes to building scalable volume hiring strategies and embracing high volume recruiting tools. Here are four key pieces of technology to consider for high volume recruiting. There are plenty of tools out there, so this is by no means an exhaustive list.
Applicant tracking system
Your ATS will help you post ads, screen resumes, bulk communicate with applicants, and collect data. When working within a high volume recruiting strategy, you should also use it to build talent pools and pipelines for future roles.
Interview automation
An Ai assessment like Sapia means you can give every single applicant a conversational chat interview. The quickest payback you will get on volume hiring is an investment in interview automation. Interview automation can truly enhance your high volume recruitment process and help you make it more efficient (and pleasant) for everyone involved. This will help you get your time back quickly and release the budget for automation in other areas of recruiting. Embracing such high volume recruiting tools ensures efficiency.
Sapia meets the needs that challenge many of my clients today – how do they manage high volume recruitment processes in a streamlined and cost-effective way, while still delivering a great candidate experience and quality hiring decisions. With Sapia, you leverage the latest in data analytics and tech to maximize efficiency & effectiveness; and the candidate experience is fresh and engaging, with great feedback! The product is great and constantly evolving!
It’s worth considering a candidate engagement survey for your high volume recruiting strategy. In this survey, you can ask questions to reveal how well your EVP is resonating. Then you can compare candidate engagement scores with new employee engagement scores and exit interviews to understand if you’re delivering on your EVP as part of your bulk recruitment process.
Onboarding
Integrating your onboarding software with your ATS (or choosing one with onboarding included) allows you to start onboarding and engaging candidates as soon as they sign their (automated) contract. This is a dream for high volume hiring, getting workplace health and safety, and even procedural training done before a new employee walks in the door.
Good news: It’s only going to get easier
It’s easy to feel overwhelmed when you’re doing high volume hiring in an environment where there’s elevated unemployment or other challenging factors. The good news is that as much as the world may be getting more complicated, and as much as candidate expectations are soaring, the technology to support recruiters in high volume recruiting has never been faster, fairer, or more scalable.
Establish your own volume hiring best practices and keep optimizing your volume hiring strategies. It takes some time to set up, but the rewards are well worth the effort.
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It’s been a year of Big Moves at Sapia.ai. From welcoming groundbreaking brands to achieving incredible milestones in our product innovation and scale, we’re pushing the boundaries of what’s possible in hiring.
And we’re just getting started 🚀
Take a look at the highlights of 2024
All-in-one hiring platform
This year, with the addition of Live Interview, we’re proud to say our platform now covers screening, assessing and scheduling.
It’s an all-in-one volume hiring platform that enables our customers to deliver a world-leading experience from application through to offer.
Supercharging hiring efficiency
Every 15 seconds, a candidate is interviewed with Sapia.ai.
This year, we’ve saved hiring managers and recruiters hours of precious time that can now be used for higher-value tasks.
Giving candidates the best experience
Our platform allows candidates to be their best selves, so our customers can find the people that truly belong with them. They’re proud to use a technology that’s changing hiring, for good.
Leading the way in AI for hiring
We’ve continued to push the boundaries in leveraging ethical AI for hiring, with new products on the way for Coaching, Internal Mobility & Interview Builders.
Choosing the right tool for assessing candidates can be challenging. For years, situational judgement tests (SJTs) have been a common choice for evaluating behaviour and decision-making skills. However, they come with limitations that can make the hiring process less effective and less inclusive.
AI-enabled chat-based interviews, such as Sapia.ai, provide organisations with a modern alternative. They focus on understanding candidates as individuals and creating a hiring experience that is both fair and insightful while enabling efficient screening and selection.
This shift raises important questions: Are SJTs still a tool that should be considered for volume hiring? And what do AI assessments offer in comparison?
Traditional SJTs use predefined multiple-choice questions to assess behavioural tendencies and situational knowledge. While useful for screening, these static frameworks lack the flexibility to adapt based on real-world performance data or evolving role requirements.
Once created, SJTs don’t adapt to new data or evolving organisational needs. They rely on fixed scenarios and responses that may not fully reflect the dynamic realities of modern workplaces, and as a result, their relevance may diminish over time.
AI-enabled chat interviews, on the other hand, are inherently adaptive. Using machine learning, these tools can continuously refine their models based on feedback from real-world outcomes such as hiring or turnover data. This ability to evolve ensures the assessments align with organisations’ needs.
One of the main critiques of SJTs is their reliance on multiple-choice responses. While structured and straightforward, these options may not capture the full scope of a candidate’s thinking, communication skills, or problem-solving ability. The approach is often limiting, reducing complex human behaviour to a few predefined choices.
AI-enabled chat interviews work more holistically and dynamically. These tools provide a more complete picture of a person by allowing candidates to answer questions in their own words. Natural language processing (NLP) analyses their responses, offering insights into personality traits, communication skills, and behavioural tendencies. This open-ended format lets candidates express themselves authentically, giving employers a deeper understanding of their potential.
SJTs often include time constraints and rigid formats, which can create pressure for candidates. This is especially true when candidates feel forced to choose options that don’t fully reflect how they would actually behave. The process can feel impersonal, even transactional.
In contrast, chat-based interviews are designed to be conversational and low-pressure for candidates. By removing time limits and adopting a familiar chat interface, these tools help candidates feel more at ease. They also frequently include personalised feedback, turning the assessment into a valuable experience for the candidate, not just the employer.
Traditional SJTs are prone to transparency issues, as candidates can often identify and select the “best practice” answers without revealing their true tendencies. Additionally, static test designs can unintentionally embed bias; due to the nature of the timed test, SJTs have been found to disadvantage some groups.
AI chat interviews, when developed ethically within a framework like Sapia.ai’s FAIR Hiring Framework, eliminate explicit bias by relying solely on the content of a candidate’s responses. Their machine learning models are continuously validated for fairness, ensuring that hiring decisions are free from subjective judgments or irrelevant demographic factors.
Workplaces are constantly changing, and hiring tools need to keep up. SJTs’ fixed nature can make them less effective as roles evolve or organizational priorities shift. They provide a snapshot but not a dynamic view of what’s needed.
AI-enabled chat interviews are built to adapt. With feedback loops and continuous learning, they incorporate real-world hiring outcomes—like retention and performance data—into their models. This ensures that assessments stay relevant and effective over time.
As hiring demands grow more complex, so does the need for tools that can capture the whole person, not just their response to hypothetical scenarios. While SJTs have played an important role in hiring practices, they are increasingly being replaced by tools like AI-enabled chat interviews.
These modern approaches provide richer data, adapt to changing needs, and create a richer and more engaging experience for candidates. Perhaps most importantly, they emphasise fairness and inclusivity, aligning with the growing demand for unbiased hiring practices.
For organisations evaluating their assessment tools, the question isn’t just which method is “better.” Understanding the specific needs of your roles, teams, and candidates will help you choose tools that help you make decisions that are both informed and equitable.
It’s our firm belief that AI should empower, not overshadow, human potential. While AI tools like ChatGPT are brilliant at assisting us with day-to-day tasks and improving our work efficiency, employers are increasingly concerned that they’re holding candidates back from revealing their true, authentic selves in online interviews.
As an assessment technology provider, we are responsible for ensuring the authenticity and integrity of our platform. That’s why we’re thrilled to unveil the latest upgrade to our flagship Chat Interview: the AI-Generated Content Detector 2.0. With groundbreaking accuracy and a candidate-friendly design, this innovation reinforces our mission to build ethical AI for hiring that people love.
Artificially Generated Content (AGC) is content created by an AI tool, such as ChatGPT, Claude, or Pi. We initially rolled out the first version of our AGC detector last year and have continued to improve it as our data set has grown and these AI tools have evolved.
Our updated AGC Detector 2.0 achieves an impressive 98% detection rate for AI-assisted responses, with a false positive rate of just 1%. This gives organisations peace of mind that they’re getting the most authentic assessment of every candidate.
This cutting-edge system builds on Sapia.ai’s proprietary dataset of over 2 billion words, derived from more than 20 million interview question-answer pairs spanning diverse roles, industries, and regions. It’s trained on real-world data collected before and after the release of tools like ChatGPT, ensuring it remains robust and reliable even as AI tools evolve.
Our data shows that around 8% of candidates use tools like GPT-4 to generate responses for three or more interview questions. While these tools may offer a quick way for candidates to complete their interview, they can inadvertently hide a person’s true personality and potential – qualities our customers are most interested in understanding through our platform. In fact, research from Sapia Labs shows that these tools have their own personality traits, which may be quite different from the candidate applying for the role.
When a response is flagged as potentially AI-generated, the system doesn’t disqualify candidates. Instead, a real-time warning pops up, allowing them to revise their answers or submit them as-is. This ensures that candidates are encouraged to present themselves authentically, reflecting their unique communication styles and sharing their genuine experiences.
Responses flagged as AI-generated are highlighted in the candidate’s Talent Insights profile, accessible via Sapia.ai’s Talent Hub or ATS integrations. These insights give hiring teams the transparency to make informed decisions, fostering trust while accelerating hiring timelines.
“Our detection model’s strength lies in its foundation of real-world interview data collected from diverse roles and regions,” says Dr Buddhi Jayatilleke, Sapia.ai’s Chief Data Scientist. This depth of understanding enables the AGC Detector to maintain its industry-leading accuracy – even when candidates subtly modify AI-generated answers to appear more human.
The AGC Detector 2.0 embodies Sapia.ai’s commitment to ethical AI that amplifies human potential. As our CEO Barb Hyman explains:
“The hiring landscape has fundamentally changed since ChatGPT, but our commitment remains clear: AI should amplify human potential, not penalise it. This breakthrough fosters authentic hiring conversations. Our real-time warning system helps candidates make better choices and gives enterprises confidence in their selection decisions.”
The new detector has been rigorously tested on over 25,000 interview responses generated by humans and leading AI models like GPT-4, Claude-3.5, and Llama-3. The results speak for themselves, reinforcing the reliability and fairness of this game-changing technology.
By detecting AI-generated content while allowing candidates to correct their responses, our AGC Detector 2.0 ensures every applicant has the chance to put their best, most authentic foot forward when applying for a role powered by Sapia.ai. For enterprises, it provides confidence in the integrity of their hiring decisions and ensures they’re connecting with real candidates at scale.