Six Tech Trends Shaping the Talent Acquisition Industry

Six Tech Trends Shaping the Talent Landscape

Technology is transforming every industry, and innovations are impacting every facet of the talent acquisition industry. Chatbots have gone from an interesting novelty to a method of conducting interviews. Virtual reality has gone from video games to employee onboarding and training. New data privacy laws are being debated and passed as candidates grow more concerned about who is using their data. Forward-thinking employers need to stay on top of the trends and make changes at the right time.

In this ebook, Six Tech Trends Shaping the Talent Landscape, learn the most important tech trends impacting the talent acquisition industry from talent analytics to recruitment marketing tools. With the vast landscape of new technologies, we evaluate the question of when to buy in to the latest trends to minimize risk and stay ahead of the competition.

Integrating AI into Your Passive Sourcing Strategy

With unemployment at historic lows, and only 30% of candidates actively applying to jobs, looks like it’s time to get passive! Passive? This might seem like an odd word choice, but passive candidates are simply highly qualified candidates not currently job hunting, while active candidates are applying to your open roles right now.

Research indicates that passive candidates may be more successful in organisations. According to Glassdoor, passive candidates are more efficient workers. Furthermore, passive candidates are twice as likely to join an organisation. However, some do not think passive candidates make better employees, partly because tracking passive candidates’ success at organisations has been poorly measured.

Regardless, data shows that it takes an average of 42 days to fill a role for a qualified external candidate. Some roles take longer, such as 67 days in the UK to fill a product management role. Engineering roles are also consistently harder to fill, taking 58 days in the U.S. and UK and 56 days on average in the rest of the world. When these types of hard-to-fill roles are needed, passive sourcing can be the best option to pursue.  

What is Passive Sourcing?

Finding a qualified hire usually consists of a mix of active and passive applicants. Today, recruiting teams find passive candidates through various means, such as referral programmes, online forums, and job boards. More recently, recruiters have also started posting to social media platforms such as Twitter, Facebook, and Instagram to find their next hire.

Passive sourcing searches were historically done through tedious Boolean search strings using dozens of search terms, like location, phone number, and email address, to find candidates. These searches are manual and time-consuming.

How Does AI Improve Passive Sourcing?

Recruiters spend approximately £159,000 per hire and 23 hours to screen for each open position. Meanwhile, recruiters carry a workload of 30-40 positions at a time. Add these numbers up and it might take several months for a recruiter to fill their open roles. Meanwhile, organisations also lose months of productivity and revenue from unfilled roles. Compound these losses with the rush to hire someone that might not be right for a role, and there is a possibility the recruiter may have to start the cycle all over again.

How can AI help? As AI’s influence throughout talent acquisition grows, sourcing qualified passive candidates in record time is now possible with AI.

Massive Data 

AI excels at scale. Finding candidates instantly, AI algorithms can improve with each search, creating increasingly more intelligent sourcing. This is done by compiling and analysing a massive data set of millions of pieces of information including potential candidates’ social media profiles and past online activities, among other data. 

AI’s passive sourcing function can also find triggers that indicate a candidate’s interest. Using an engineering requisition as an example, AI tools can scrape the Internet for candidates with specific job skills. For example, a search can be set up to find candidates with electrical engineering backgrounds with five to ten years of experience that are active on LinkedIn. AI will identify these parameters, search all additional available channels for intel including email, text, chatbot and phone records then aggregate the data and deliver a pool of qualified candidates to the recruiter.

Improved Personalisation

AI applications can also send targeted information to candidates using marketing-like campaigns, bringing in “leads” to help grow talent pipelines. This activity targets the right persona or type of candidate needed for a role and keeps passive candidates better engaged or “nurtured.” It also creates a unique candidate journey.

A recent report cites that organisations with an employer brand platform experience an average turnover rate of 10% compared to the overall turnover average of 16%.

At PeopleScout, we know a positive employer brand plays a significant role in their ability to hire talent. We implement AI sourcing and digital brand recruitment marketing campaigns through our Affinix™ platform that streamlines the sourcing process. Using these digital campaigns reinforces a company’s employer brand and consequently increases the nurture and conversion rates of future potential passive candidates. 

Considerations for AI Passive Sourcing

While using AI to help source passive candidates is beginning to help organisations, there are a few considerations to keep in mind.

Mind Your Algorithms

Countless articles lament how well-meaning coders accidentally create biased AI tools. Most recently, Amason released a recruiting tool that put female applicants at a disadvantage by highlighting more masculine language such as “executed” and “captured.” Therefore, AI algorithms should be used in concert with other recruiting tools and constantly monitored pre and post-build. Organisations such as OpenAI, the AI Institute, and Explainable AI, among others, are reviewing AI’s impacts to make sure issues like unconscious bias are appropriately addressed.

Fit AI into Your Strategy

AI has the potential to improve aspects of the full recruitment cycle from sourcing, screening, selecting, hiring and onboarding. However, AI is only part of your toolkit and should be thought of as an efficiency tool to find better candidates faster. Monitor and adjust your strategy by testing AI’s sourcing skills. Because of the rapid data feedback loop you receive from AI, you’ll be able to quickly tweak social media and email campaigns as well as content you use to interact with candidates.

Getting Started with AI Passive Sourcing 

According to a Deloitte Human Capital Trends report, 38% of companies are already using AI, and 62% expect to implement AI in some way by the end of 2019. In order to prepare for AI passive sourcing, keep the following in mind.

  • Assess your current state. Are your operations streamlined today? Do you have existing issues with your methodology that need to be resolved before AI is added to your recruitment platform?
  • Centralise your efforts so your AI tools tie together and create information in one place. Also, make sure all data streams, such as information from candidates and job boards, are collected in one place.
  • Choose your vendors wisely to bring your AI ambitions to life. If the vendors you use are not able to articulate their business plans and longer-term technology capabilities, you should walk away.

Conclusion

Recruiters need to monitor AI passive sourcing capabilities as one of many AI efficiency tools to execute in the recruiting process. While ongoing debates swirl about the bias of the effect from AI efforts can create, if implemented and monitored properly, AI can also yield huge returns for your passive sourcing efforts. Organisations should consider PeopleScout to help source passive roles through PeopleScout’s proprietary, simple-to-use talent technology platform, Affinix.

Five Ways Talent Technology Will Make HR More Strategic

With the benefit of hindsight, it’s easy to look at the past twenty years and see the inflection points where companies and industries either embraced or avoided disruptive technology. When Kodak struggled to adapt to the digital world, the company eventually declared bankruptcy. Blockbuster passed on the chance to purchase Netflix, and now, the video rental chain has just one store left open. Taxis fell to Uber and Lyft. There are countless examples in the graveyard of defunct or irrelevant companies and industries.

It is more difficult to spot that inflection point in the moment. For human resources, that moment is now. With an influx of new technologies entering the market, the role of HR is about to transform, and if it cannot adapt, it is bound to be left behind. Currently, many HR professionals are pulled away from more strategic work for simple repetitive tasks – which are prime targets for automation. Emerging tools can also provide HR with new insights – about things like which candidates are more likely to stay with the company and whether a role is better filled by a contingent or permanent worker in the current economy. These insights will provide HR with the opportunity to play a more significant role in decisions that impact the future of the business.

In this article, we walk through five ways new and emerging talent technology will make HR more strategic and why leaders should embrace change.

1. Automation Will Save Time

Everest Group predicts emerging technology has the potential to automate half of all talent acquisition activities. According to the report, “processes that are highly transactional and repetitive in nature have a higher potential for automation.” This includes tasks like resume screening, interview scheduling and sourcing candidates. However, other tasks, like communicating with top candidates and hiring managers, will continue to require a human touch.

Robotic process automation is already taking over some of the communication with candidates through recruitment marketing campaigns, interview scheduling tools and chatbots. RPA technology can ask prescreening questions or answer FAQs about positions and a company’s hiring process through a chatbot, send automated emails to engage candidates through a candidate relationship management tool and find an empty spot on a recruiter
or hiring manager’s calendar to help a candidate schedule a phone or in-person interview through an automated scheduling tool.

These tools mean that the way recruiters and talent acquisition professionals spend most of their days will transform drastically. Rather than spending time sifting through resumes, scheduling interviews and responding to emails, recruiters will be able to focus on the best candidates, develop creative solutions for hard-to-solve problems and build better candidate engagement strategies. This will reduce recruiter burn out, leaving them fresher and more engaged in important tasks.

Automation also improves the candidate experience. Rather than waiting for a response from a recruiter with an inbox full of emails, candidates can have a simple question answered instantly by a chatbot. Candidates won’t have to play phone tag or do the awkward dance of comparing schedules over email because they can easily schedule interviews on their own. This means, regardless of whether or not the candidate ultimately ends up in the role, they will be left with a more positive image of the organisation. However, HR leaders need to take care to select the correct tools. If they don’t work as intended or don’t integrate well with other systems in place, recruiters may not be able to use them effectively and candidates could be left with a negative impression.

2. Data Analytics Will Provide New Insights to Inform Decision-Making

Big data is everywhere, and when applied to HR, it can allow leaders to make better, more informed decisions on both the micro and macro levels. Data analytics tools have the power to provide insights and predictions about individual candidate behaviors, the best tactics to use to fill a role and even long-term predictions about local job markets.

Predictive analytics is a type of data analytics that uses data to find patterns and then uses those models to attempt to predict the future. Predictive analytics can’t tell you what will happen, but it shows what is likely to happen based on past trends. Tools that incorporate predictive analytics can tell recruiters how likely a candidate is to leave their current job or stay in a position at your organisation, for example.

These tools can also identify new channels to find strong candidates by identifying common themes in previous successful hires. For example, a predictive analytics tool could tell a recruiter that the best candidates tend to come from a few specific educational backgrounds. That way, a recruiter can focus on recruiting efforts to identify the best candidates with those qualities.

Predictive analytics can also help with more strategic business decisions. Workforce planning tools focus on the future by assessing current hiring needs and modeling how those needs will evolve. This data-focused approach can help organisations match talent forecasts with analysis of the talent pool to create a realistic view of the labor market. On a micro level, analysing market data can help predict whether a role is better filled by a permanent or contingent worker in a specific location.

Workforce planning tools can also identify potential problems before they arise. For example, hiring patterns in a market could signal an impending shortage of talent six months into the future, allowing organisations to prepare and stay ahead of the competition. If an organisation is looking to expand, predictive analytics can identify areas with the best candidates to fill the needed roles. This empowers HR to have a larger role in shaping the direction of the company. Because of this, it’s key that the right tools to collect historical and current data are in place. If the predictions are inaccurate or the data is not used properly, it could have the opposite effect.

3. AI Tools Will Develop More Effective Candidate Profiles, Job Descriptions and Recruitment Marketing

Another way technology can impact HR is through the use of AI tools that make recruiters more effective in interacting with candidates. This process starts during candidate generation, where AI tools can help you craft job titles and descriptions and continues as recruiters communicate with candidates throughout the hiring process.

AI tools can help recruiters put together stronger candidate personas, by using data to show what factors predict success and where recruiters can find the best candidates, as we discussed earlier. Then, certain technology tools can help recruiters optimise job titles and craft job descriptions that will show up in search results and appeal to the greatest number of candidates.

AI can also help identify exclusionary language that could discourage a certain gender or minority group from applying to a position. This is particularly important because unconscious bias can allow gendered words to creep into our vocabulary without us realising it. According to Harvard Business School, words like “ninja” discourage women from applying, while words like “supportive” and “collaborative” can discourage men. By using technology to avoid this, recruiters can build better and more diverse candidate pipelines.

As recruiters communicate with candidates, other tools can make the process more personal. Career sites can track what types of jobs candidates view, apply to or start, but never finish. Tracking this data allows recruitment marketing tools to recommend jobs that appeal to the candidate and match their skills and expertise, or to prompt a candidate to complete their application. Once a candidate provides their information, recruiters can use recruitment marketing tools to build personalised marketing streams that will appeal to candidates and encourage them to apply.

These tools help recruiters identify and market to stronger candidates more efficiently, which not only frees up time but also helps build a better workforce, improving business outcomes for the organisations. Here, AI algorithms need to be carefully monitored. Because AI is constantly evolving, errors in an AI platform’s logic can quickly grow, making problems hard to trace. This is especially true if errors are made at the beginning of the process causing the common problem of garbage in, garbage out.

4. AI Sourcing and Improved Assessments Will Identify Candidates with the Right Cultural Fit

Talent technology will also help recruiters identify passive candidates with the skills of the future and the ability to learn and grow with an organisation. Passive sourcing tools use artificial intelligence to identify the best candidates for a role – regardless of whether or not those people are actively looking for jobs. The tools can search social media, job boards and more, finding candidates who match target personas. Passive sourcing provides recruiters with a list of strong candidates without the time required to conduct manual searches.

New types of assessments will also help recruiters identify the best candidates. Video interviewing tools can provide additional information about candidates from their facial expressions and tone of voice. This can provide insights into a candidate’s personality, which will help recruiters make better choices about which candidates are the best cultural fit with an organisation.

Additionally, new assessments can evaluate the passion, purpose, and mindset of candidates. This means recruiters can learn about a candidate’s enthusiasm, enjoyment and commitment to mastering the requirements of a role, their alignment with and willingness to contribute to the vision and values of an organisation and whether they have a growth mindset, which is the belief that one’s talents can be developed through education and effort. With this information, recruiters can identify candidates who will align with the goals and culture of an organisation, increasing the likelihood that the candidate will stay long-term. By identifying candidates with a growth mindset, recruiters can select candidates who have the ability to learn and grow in the rapidly transforming world of work.

This empowers talent acquisition leaders to better identify and hire the candidates who align with the long-term goals of an organisation, enabling the company to meet strategic objectives faster and stay ahead. However, this is another case where HR should be aware that the wrong tools and assessments could actually inject bias into the process, so leaders should be sure to partner with an organisation that is aware of and carefully monitors for that risk.

5. Compliance Tools Will Reduce Risk, Freeing Funds and Resources

Another significant aspect of HR is dealing with the multitude of compliance risks that vary by jurisdiction. Technology can automate parts of that process, making it not only more efficient but also more compliant.

Compliance tools can automate background checks and drug tests as a part of the pre-employment and onboarding process. This ensures that every potential employee completes the testing and that the process aligns with all local and federal regulations.

According to SHRM, predictive analytics tools can also be used to assess pay equity, an incredibly hot topic in compliance right now. At least 12 jurisdictions have some sort of pay equity law preventing employers from asking about salary history in an effort to reduce pay discrimination. Because the issue is at the forefront, employers should track this information and take steps to reduce pay inequality at their own organisations. Data analytics tools can monitor and report on any pay gaps for protected groups.

Additionally, Forbes reports that AI can identify “red areas” where fraud or unethical behavior may be more likely and bring those to the attention of HR so they can intervene early or even before bad behavior occurs. AI can also identify behaviors that cause poor work performance, recognising patterns of stress or bad behavior that could cause safety concerns.

Technology can also assist in the process of collecting documents from workers, and providing workers with required forms and legal documents, protecting the organisation from potential regulatory errors. Compliance lapses can be expensive and time-consuming; having reliable tools can keep your organisation safe.

Conclusion

The current talent acquisition technology landscape is both exciting and complicated for employers. Technology already available on the market will allow HR to be more strategic, but it needs to be implemented and used effectively. When selecting the right tools, employers need to look for solutions that have tangible benefits – not just tools that are interesting. Using the wrong tools has the potential to do more harm than good, so employers should look for partners that can meet their needs now and flex and growth with them into the future.

The AA: Bot-Powered, Brand Boosting Innovation

CHALLENGE

Mention “working for the AA” and many people can’t see beyond roadside roles– a roadblock when it comes to recruitment. Candidates assumed they knew what The AA had to offer, and weren’t engaged with the wider culture and benefits. As a result, the AA was failing to engage and convert website visitors. It was clear that the careers site needed a new brand voice and experience – to shake visitors out of old assumptions, and to attract – and ultimately hire – more candidates.

APPROACH

Last year we launched a reimagined digital solution that could do justice to the new brand proposition, ‘Ready for ANYTHING?’. It’s a totally new way to access the world of AA, replacing the need for conventional website navigation – The AA chatbot. To achieve it, we sought out bleeding-edge software, Microsoft’s Bot Framework, which was still in beta, and constructed new bot pathways even as the core code changed under our feet.

The result, AAbot, is your guide to the world of The AA. By asking him questions, candidates can access all website information from within the chatbot – utterly tailored to their interests, and, if desired, full job listings.

With expressive animations for any occasion, and banter full of cheek and surprise, AAbot is packed with personality. He takes the employer tone of voice in a playful, irreverent, funny and bold new direction. And he’s virtual proof that functional UX copy can entertain and build a brand, as well as inform.

  • See AAbot in action here

“This brilliant innovation has transformed how we engage candidates.” Craig Morgans, Head of Talent Acquisition, The AA

“I highly recommend AAbot. He’s the best robot in town. And the most modest.” AAbot

RESULTS

With no other significant changes to recruitment activity, total job applications – via the website – have increased by 146% since last year (full year 2017 – 2018 YTD).

Direct hires are also at a record high: having increased by 38%, to 2,800 in total (full year 2016 – YTD 2018), amounting to 96% of all hires (full year 2016 – YTD 2018).

This is against a backdrop of steadily increasing site traffic since launch: with 10% YOY growth (full year 2016 vs full year 2017), and consistent progress in 2018 (visitors YTD 2018 = 75% of the 2017 total).

Since launching Bot-led social media pages and enhanced chatbot functions in 2018, we’ve also accelerated the impact. Notable increases include average page views (+15%), and returning visitors (+14%). Applications in 2018 have already totalled 85% of the total for 2017 (36,000 full year 2017 vs. 30,500 YTD 2018).

In a nutshell, this is a story of consistent, significant business impact. Let’s just hope it doesn’t go to AAbot’s head.

How Google Jobs is Taking On Talent Acquisition

Google’s first commercial for the 2019 Super Bowl showcased Translate, Google’s language translation feature. Google’s second commercial of the night was also about the power of translation, only this time the focus was on helping veterans translate their military skills into civilian careers.

The aforementioned ad illustrated how Google for Jobs helps veterans and other U.S. service members quickly find civilian jobs by searching “jobs for veterans” on Google and then entering their military occupational specialty codes. They are then provided with search results for civilian jobs with similar skills to those used in their military roles. Now, a group of job seekers that had difficulty finding roles online can easily conduct a simple Google job search.

Launched in 2017, Google for Jobs, or Google Jobs, is a job search platform that goes well beyond simple search efforts by pulling relevant job-related data from multiple partners and company sites into one intelligent search function. In this article, we will walk through an explanation of what Google Jobs is, how it works, how it can affect talent acquisition and what to keep in mind before incorporating Google Jobs into your recruitment strategy.

What is Google for Jobs?

Google Jobs connects interested job seekers with relevant positions from job boards and career websites around the world. Google allows users to filter job searches the same way you can search for anything else online, with criteria like location, posting date, type of company, etc. It even includes pay estimates from several outside sources. With more than one-third of Google’s monthly searches coming from job-related requests, Google Jobs helps bridge the gap between job seekers searching for career opportunities and employers looking to provide them.

How Does Google Jobs Work?

Google Jobs pulls job board listings from around the web into its platform through partnerships with LinkedIn, CareerBuilder, Facebook, Monster and others. Postings on a company’s career site are also pulled into the Google Jobs engine. Initially launched in the United States, the platform is available to millions of job seekers from North and South America, Latin America, Africa, Europe, Asia and the Middle East.

When a user searches for a job, Google serves up the most relevant job description, location, seniority, job types and salary content available courtesy of machine learning. Machine learning is a subset of AI that adjusts and learns without being explicitly programmed. Traditional Google search queries use algorithms to sort through hundreds of billions of web pages to find and present the most relevant, useful results to a user. Google Jobs’ search mechanism operates similarly, only its enhanced use of machine learning only retrieves results from job postings, which it lists at the top of a user’s search results.

If you start by searching directly in Google for “jobs near me for ‘Nurses,’” using Chicago as a location, roles with a few local healthcare organisations, along with 100+ more jobs, appear. Additional filters also are available, such as jobs posted in the “past 3 days” or “full-time” jobs. Users can view these filters at the top of the screen.

Google Jobs screenshot

If a user clicks to see additional jobs using the “100+ jobs” link at the bottom of the results page, this next screen appears:

Google Jobs screenshot

Users can then explore their Google Jobs search using the following features:

  • Jobs are displayed in the left column.
  • Filters are available across the top of the screen, such as title, date posted and type of employer. For example, if you click on “title,” related titles appear, such as a surgical or clinical nurse.
  • Pay comparisons are available at the bottom of the listing from other sources such as Glassdoor.
  • Alerts are available for your job search in the lower left-hand corner. You can turn alerts on or off with your Gmail account and save for future use.

How Does Google Jobs Affect Talent Acquisition?

Extending your recruiting strategy by integrating with Google Jobs benefits talent acquisition programmes through increased reach, better candidate choice and reduced costs.

Expands Your Reach

Google Jobs expands your pool of candidates by crawling millions of job listings across the internet and presenting jobs relevant to a user’s inquiry that may not appear during a traditional search.

So, once you’ve posted your open positions on job boards integrated with the Google Jobs platform – your reach is instantly amplified.

Google also provides developers and website owners access to the new “jobs search feature” where they can embed company logos, job seeker reviews, ratings and job details. This feature functions outside of organic and paid search on Google, so job postings are easier to find and more prominent than before.

And for organisations with smaller recruiting teams, Google Jobs helps level the playing field by allowing their job postings to appear organically to the same candidates as those advertising on job boards.

Filtering Out Unqualified Candidates

When a job gets posted online, recruiters get inundated with a torrent of qualified and unqualified candidates alike. Filtering through these resumes is time-consuming and reduces a recruiter’s ability to quickly identify quality job candidates.

With Google Jobs’ multiple filters, it is possible for recruiters to better target candidates and only receive the resumes that best align with specific roles.

For example, instead of receiving generic resumes for nurses, now it is possible to filter results so that recruiters only receive resumes from entry-level nurses with two-years of experience in a hospital setting who live in Atlanta and expect to be paid $35K-$70K annually.

Reduces Cost

Increasingly, the need to go to CareerBuilder, Glassdoor, LinkedIn and others to post your job listing is waning as Google Jobs principally provides the same service in a more cost-effective manner. The average cost of interviewing, scheduling, and hiring a candidate is thousands of dollars; this cost could be reduced if recruiters work with fewer third-party job boards and advertising partners.

Considerations

Before your job postings begin appearing in millions of Google searches, here are a few tips to get started.

Optimise Your Job Listings

Keep your descriptions short and specific. Avoid any internal jargon that candidates would not search for or know. Study other ads in the market to make sure your job description has some similarity. Also, check to make sure your listing is consistent with your employer brand.

Enhance SEO

Google Jobs is a powerful tool. However, to harness its full potential, you should make sure your job postings are optimised for search. This means making sure you are tagging the correct keywords, titles and other attributes.

Mobile Ready

Make sure your listings are updated for mobile search, where 90% of job seekers now search first. You can use the quick test Google offers to check to see if your website is currently mobile-optimised as well.

What to Keep in Mind?

Connect Your Job Listings

There are a few main paths to connect your listings with Google Jobs. If you post jobs directly through your website, you can connect directly with Google. However, this option requires some technical knowledge such as marking up jobs, crawling, indexing, enriched search, APIs and structured data. This direct connection path can also come through your applicant tracking system (ATS) provider. Another option is to work through a third-party to manage your postings, e.g. LinkedIn.

Remove Old Listings

Google may penalise your site if job postings that have been filled are still being displayed, so make sure you regularly remove old listings.

Understand Not Everyone is Involved (Yet)

Certain jobs may not be included in Google Jobs search results, as some job boards are not integrated into the platform. As of April 2019, job search giant Indeed has not yet partnered with Google Jobs, so any efforts talent acquisition groups have with Indeed remain separate for now.

Conclusion

Working with Google Jobs benefits talent acquisition programmes through increased reach, better candidate filtering and reduced costs. Before integrating Google Jobs into your TA strategy, organisations need to optimise their job postings. Companies need to understand the pros and cons of managing a Google Jobs programme in-house versus working through an ATS provider or third-party integrator. Most ATS providers are optimised for Google Jobs, but make sure to confirm with your vendor. Talent acquisition leaders can also consider using the ATS module within PeopleScout’s proprietary talent technology platform, Affinix. Google Jobs is available today through Affinix.

Recruitment for Retention

“Where do you see yourself in five years?” It is perhaps the most time-worn question in a job interview. But if the candidate answers that if they are hired, they will be happily working in your organisation, the odds are against this ever happening. Why? The average time workers in the U.S. remain in one job is just 4.2 years. And in other leading economies, the average single job tenure can be similarly brief. In the UK, workers change jobs every five years, while in Australia, the national average job tenure is just three years and four months. In Canada, the average length is 8.5 years, but the averages vary widely depending on the industry.

For those hoping to attract and retain top talent, these figures can be familiar – and a cause for concern. When human resource professionals look inside their organisations and identify employees who have defied the statistical average, staying with the company far longer than five years and contributing significantly to its success, they wonder “how do I get more of them?” With low unemployment making many job markets the most challenging in recent memory, there is genuine urgency not only to retain the best talent but to find a way to attract talent that will stay with an organisation for the long-term. In other words, there is a need to recruit to retain, but how?

Know Your Talent: Why They Leave and Why They Stay and Thrive

Like many organisations, your company may already have an employee retention programme in place. Enterprises are making considerable efforts to retain talent, and the processes they deploy to improve employee retention can also be incorporated into your recruitment process.

For example, it is relatively common to have exit interviews with departing workers to better understand why they are leaving the organisation. When a sufficient number of exit interview results are available and evaluated, trends can emerge that can lead to actionable items to improve employee retention. Certain common traits or characteristics may also appear among those who voluntarily leave their jobs.

Less common, but potentially just as valuable, is the “stay interview.” These interviews with current employees allow them to express their concerns before they are in a position to leave, which can help leaders address issues and take steps to retain top talent.

And just as exit interviews can bring into focus the characteristics of those who quit, the stay interview can help identify the traits of those who remain and thrive. Once a group of long-term successful employees is identified, a stay interview can be designed for this group with the goal of identifying why they have remained with the company, what factors have contributed to their success and what characteristics many or most of them have in common. Identifying these characteristics in your candidate pool during the recruiting process could be an indicator of future success.

In today’s tight job market, if you are not working to identify candidates with the characteristics that have been proven to lead to long-term achievement in your company, your competitors probably are. SHRMreports that “Many organisations are seeking more of a ‘whole person’ gauge of candidates, experts say, assessing not just skills or intellectual horsepower but also personality traits, cultural fit and motivational drivers that can prove the difference between candidates who thrive over the long run and those who quickly derail.”

Predictive Analytics: Unlocking the Key to Recruitment for Retention

Predictive analytics is a type of data analytics that uses data to find patterns and then uses those models to attempt to predict the future. Consider the most basic data you likely have about a single employee who worked for your organisation and left after five years. A sample of data points could include:

  • How they were sourced
  • Their addresses over their tenure at the company
  • Their education and certifications
  • Previous employers

These data points alone may not provide insight into why this employee joined your organisation and why they left. But, if just these pieces of information were aggregated for all your employees, both past and present, here are a few insights which could be determined:

  • Is there a correlation between how an employee is sourced and their tenure at the organisation?
  • Do employees who live far from the workplace quit sooner than those who do not?
  • Do employees from certain schools or that have particular certifications stay longer with the company than others?
  • Are there previous employers which produce more long-term employees than others?

The information found in even one of these examples could be built into your recruitment strategy and have a meaningful impact in recruiting talent that will remain with your organisation.

The right technology using predictive analytics can provide effective recruiting insight, as PeopleScout’s Allison Brigden explains:

“In this tightening talent market with unemployment rates at record lows, predictive analytics is emerging as an essential AI tool for employers looking to stay ahead of the competition. Predictive analytics allows employers to use the power of data to make predictions about candidates and drive efficiencies throughout the entire talent acquisition process…

Predictive analytics can’t tell you what will happen, but it shows what is likely to happen based on past trends. It’s as close as employers can get to predicting the future.”

Solving for Retention

The dilemma faced by a major auto retailer was challenging but not surprising. The annual turnover rate in the retail sector is much higher than the national average in the U.S. With a 50% turnover rate and a need for 10,000 annual hires, there was an immediate need for drastic improvement

PeopleScout partnered with this automotive retailer and was able to rapidly address their turnover challenges by implementing the following solutions:

A Standard Hiring Model

An uneven hiring process was replaced, and a standard hiring model was put in place that included consistent OFCCP compliance and standardisation across the company.

An Efficient Process

PeopleScout deployed a time-efficient screening process which focused on the quality of the candidate, with a guaranteed response from recruiting teams within 48 hours of application. To quickly present candidates to hiring managers, PeopleScout implemented block interview scheduling with great success.

Hiring Diversity

To help source and engage more diverse candidates, PeopleScout developed a comprehensive network of community organisations for partnered recruitment.

In-Region Recruiters

Collaborative relationships between recruiters and the client’s area managers were fostered by in-region placement of PeopleScout recruiters.

Transparent Reporting

Continuous improvement was driven through transparent reporting and analysis for the client’s executive and field leadership.

The Results:
  • PeopleScout hired 10,000 employees in the first year of the engagement.
  • The technician turnover rate improved by 5% and retail turnover by 6%.
  • Hiring diversity improved by 40%, including an increase of 2% for veterans and 6% for female hires.

Talking Talent: Getting the Most out of MSP

In this episode of Talking Talent, we talk about Managed Service Providers or MSPs.

An MSP is a contingent workforce management solution managed by an external organisation that combines process, personal expertise and technology to support an organization’s gig, temporary, temp-to-hire, direct hire, independent contractor administration, Statement of Work hiring and other complex services such as vendor management.

There is a spectrum of organisations seeking MSP services – some are looking for the first time, others have mature programmes focused on driving continuous improvements and others that are transitioning into a Total Workforce Solution. In this episode, we dig into the issues affecting MSP programmes at all maturity levels.

Joining us is Jen Torres, MSP client portfolio leader at PeopleScout. Jen has more than 12 years’ experience as a partner to Fortune 100 companies seeking MSP solutions. Her creativity and innovation helped some of the country’s largest financial and technology institutions launch and develop workforce operations into industry-leading programmes. She is known for her “passion for people” and excellence in leading custom workforce solutions with an emphasis on customer service.

Jen explains what leaders should consider if they are pursuing MSP services for the first time, what implementing a second or third generation programme looks like and what steps organisations need to take if leaders want to transition to a total workforce solution. Jen also shares what technology means to a successful MSP or total workforce solutions programme and what she’s excited about for the future of workforce management.

Learn from our other PeopleScout experts in previous Talking Talent episodes:

Talking Talent Leadership Profiles: A Q&A with David Wilkinson, Boeing Global Talent Acquisition

David Wilkinson spends a lot of time in airplanes, and that’s not just because he works for Boeing. In global talent acquisition at the aerospace giant, he has lived and worked in London and Dubai and now leads his team from Mesa, Arizona in the U.S. While a lot of people talk about globalising talent acquisition, David actually lives it.


Regardless of whether he is looking towards the future of Boeing in the deserts of the U.S., the drizzle of the UK or the heat of the UAE, he is a talent champion. He’s also a member of the PeopleScout community. For this issue of PeopleScout NEXT, we caught up with David on an early morning call to learn about his insights on the future of talent acquisition.

What is the mission of Boeing Global Talent Acquisition?

Our journey is to become global talent champions. To us, that means delivering best-in-class solutions that unleash the full potential of Boeing’s people, products and services.


I’m really excited by that mission because it requires us to celebrate and champion talent at every opportunity. It also acknowledges the fact that it is a competition for talent, and we’re here to win.

What are some of your priorities as your team looks to the future?

The two things that I really think are the needle movers for us are operating globally and embracing an intentional use of talent technology. We are excited to work with PeopleScout and other valued partners in pursuit of those goals.


One of our main priorities is evolving our approach to talent technology. We’re working towards a holistic end-to-end technology strategy that will use data-driven insights to inform our experience and activities. I’m hoping that strategy will enable our teams to deliver the best experience every time, at every touch point.

What tools, methods and strategies are you exploring to achieve your approach to talent technology?

For me, the single greatest opportunity is technology. It’s also our single greatest dependency.


We’re adopting Workday globally. Given our scale, this is a significant endeavor. It’s been a two-year project, and we’re going to implement in 2019. So, our focus is on maximising every opportunity that this change offers.


I see great potential for more intentional tools usage. When you implement a brand-new technology, you can be more intentional about that technology and the way you use your tools, processes and systems. What does that entail for Boeing talent acquisition? It means looking at artificial intelligence, business automation, access to real-time data and more.


We also see opportunities in technology to enable our global journey. Working in talent acquisition in London for eight years, Dubai for 10 years and now the U.S., I’ve learned that there are very, very few truly global tools. What’s big in the U.S. might not be big in Europe and may not be used at all in Asia, for example. This is an important opportunity for us and one that I believe will truly impact the candidate experience.

What are you most proud of in your role at Boeing?

I have been really lucky to lead some great teams globally, and specifically, I’ve been really lucky with Boeing to lead teams in London, Manchester, Delhi, Bangalore, Dubai, Riyadh, Nepal, Beijing, Tokyo, Mesa, Chicago and Seattle. Each of these experiences has influenced my personal development.


When I look at Boeing’s mission to Connect, Protect, Explore and Inspire Our World Through Aerospace Innovation, I embrace the global nature of that mission and the power of connectivity. We want to connect, protect, explore and inspire the world.


My experience and my career journey across the globe demonstrate the power of connectivity. I’m proud to be learning and developing alongside teammates in Mesa and nationwide. So, I’m most proud of the global nature of my role and the journey I have been on – and how I have personally and professionally developed throughout that process.

What are you excited about for the future of talent acquisition?

It’s a similar theme – the opportunities provided by global technology and the opportunity to operate as a team that is globally efficient, locally relevant and resolutely focused on the candidate and user experience.


The opportunities that come with a global talent approach are long established. We know that, for example, there are a million graduates in India. There are also 200,000 Chinese nationals who pursue further education in the U.S., but they have yet to truly be embraced because it is difficult for employers to hire them.


We need to make it easier for talent to move around the globe, and even if you just look on a local scale, we need to make it easier for talent to move around the country. Then we need to make it possible for workers who have been influenced and enriched by an experience in a new location to return home with a more global perspective and stronger than when they left. That’s huge.


I’m energised daily by our mission to become global talent champions and to embrace an intentional use of talent technology. As I look to the future, that is what I’m most excited about as we evolve our partnership with PeopleScout and other valued partners.

Rethinking Candidate Generation Strategies

In this time of rapid transformation and high competition for talent, employers face the challenge of evolving their talent generation strategies to stay ahead. For years, employers focused on attracting as many candidates as possible with the hypothesis that generating more applications was the best strategy to yield better quality hires. That approach to talent attraction and the metrics used to measure success are changing.

The old goal: Attract as many candidates as possible.

The new goal: Attract the strongest candidates who are the best motivational fit for your organisation.

In this article, we cover the changing landscape of candidate attraction and why employers should develop a new, data-informed way of looking at job postings. We also present some specific strategies employers can put in place now and explore the benefits of these strategies.

Change is Not Optional

Many organisations remain stuck with outdated candidate generation strategies. Job titles and descriptions can go years without being updated to reflect the reality of the position or the ways that candidates look for jobs. Long, expensive contracts with specific job boards are common, even though the return on investment may be decreasing. There are several reasons why the old way is no longer working.

1. Employers look at the wrong metrics.

Many employers assume that a large number of views, clicks and even applications indicate an effective strategy, even when those numbers don’t translate to strong hires. At the same time, candidates are left frustrated by applying to jobs that are different than advertised and then facing rejection because they don’t align with the true requirements of the position or with an offer or a job that isn’t a good fit.

If a job posting yields too many unqualified candidates, it creates the risk of harming an organisation’s employer brand. This is because when there are too many unqualified candidates, there is the risk of poor communication. Those candidates could become frustrated with a lack of communication and form a negative opinion of the organisation which they could share with their own networks.

Employers need to modernise their candidate generation strategies and metrics to keep up with changing candidate expectations and advancements in workplace technology.

2. The process is expensive.

The practice of attracting large numbers of applicants is expensive. Employers pay to attract and process candidates who aren’t good fits. At one UK organisation, we found that a dismissal at the CV review stage cost £1.92. This organisation hired 6,000 employees for every 67,000 applicants. This means the cost of just the first stage was £117,000.00. The process of dispositioning an applicant after an interview is even more expensive.

3. Job postings aren’t optimised for the changing landscape.

The changing role of job boards is also disrupting the traditional process. The rollout of Google Jobs, for example, has made it easier for candidates to search for job postings the same way they search for everything else on the internet – and candidates have grown to expect this. Because of this, employers need to optimise job postings and use SEO strategies to ensure candidates will see those postings.

Strategies for the Future

Building a Centralised Recruitment Function

By centralising the recruitment function, employers build a team that can adapt more quickly to change and works more efficiently to put new strategies in place. HR leaders find that a centralised function allows all members of the team better insight into the full hiring process and helps them better understand how each step impacts the broader candidate journey.

It is also easier to test new strategies and deploy successful ideas throughout the entire recruitment function. Because there is no need to get the buy-in of other offices or teams, a centralised function can deploy changes quickly.

A centralised recruitment team also helps maintain consistent metrics and employer branding. When multiple teams are accountable for different parts of the process, those teams can start to shift over time to the point where aspects of an employer brand or the metrics used to define success can look different from team to team.

When processes are siloed it makes it more difficult for leaders to get a full view of the recruitment team and maintain consistency throughout the process. When the entire recruitment team is accountable to the same leader, the process remains more consistent.

Benefit: An accountable and synchronised recruitment team that can more effectively share your brand message.

Sharing an Honest Employer Brand

An authentic yet aspirational, unique and dynamic employer brand is key for employers looking to stand out in the competitive talent market. This type of employer brand will speak to candidates who fit with the current company culture but can also be an effective way to keep current employees aligned with shifting organisational priorities.

According to a report by Cornell University, organisations with a strong employer brand experience less turnover, a higher level of employee commitment, more buy-in to the corporate culture and increased engagement.

Successful deployment of an employer brand will include the development of media toolkits, with language, images, videos, social media posts, emails and more than the recruiting team can use to disseminate brand communications. Materials like these can be used to make sure your employer brand consistently comes through in job postings and advertisements.

Benefit: A strong employer brand will generate applicants who understand and fit in with your culture and who are excited to work for you.

Swapping Vanity Metrics for Sanity Metrics

As your goal changes from attracting the most candidates to attracting the right candidates, you need to adjust what metrics you monitor to see if you’re achieving your goal.

Vanity metrics can include data like the number of clicks or views you have for a job posting and the number of applications. These metrics don’t tell you whether the people who are clicking on your job advertisements or the candidates who are applying are good fits for the position or enthusiastic about working for you.

Sanity metrics are numbers like the ratio of clicks-to-hires or applications-to-hires. Sanity metrics can also include data about the performance and tenure of your new hires. These metrics tell you whether or not the right people are finding and applying to your job postings.

If you are looking at vanity metrics, you cannot tell if you are attracting the strongest talent.

Benefit: A more clear measure of whether you are meeting your goal of attracting the strongest candidates who are enthusiastic about working for you.

Using Data to Inform Decision Making

Data should be central to the candidate attraction process. Your team should consistently ask these four questions and make alterations to your recruitment process based on the answers the data provides.

1. Are you marketing your job properly for the audience you’re looking for?

Sanity metrics will tell you if your tailored approach to candidate attraction is working well. The exact ratios will vary from organisation to organisation and position to position, but your goal should be to decrease the ratio of clicks-to-hires and applications-to-hires while increasing performance metrics and tenure numbers on those hires. If you aren’t already tracking this information, you should gather historical data on the relevant positions and continue tracking performance and tenure data.

If, for example, you spend a significant amount of time and money reviewing applications from unqualified candidates, you can revise your job copy to reflect the more challenging parts of the job. One of our clients had challenges hiring for a door-to-door salesperson. The job posting gave a rosy view of the position, without mentioning the tougher parts.

This led to a high number of applications, but as candidates moved through the process, many realised they didn’t want the position. The cost of processing these applicants was high, as was new hire turnover once candidates started in the role.

By making the job posting more transparent about the challenges, applications decreased by 11 percent, despite a 10 percent increase in the salary for the position. The client saved 305 hours of hiring manager time over a three month period, made the same number of hires as before, spent less on candidate attraction, held fewer phone and face-to-face interviews and new hire turnover in the role dropped significantly.

2. Is your job title optimised for your audience?

Often, job titles at individual organisations are informed by organisational culture and tradition. These can lead to titles that haven’t changed in years or new and creative titles, like “digital prophet” or “crayon evangelist.” While these titles may function well inside an organisation, they can’t attract candidates who search online for positions like “business analyst” or “design director” because those candidates will never find the positions.

Regardless of the job title you use internally, the job title you use in a posting should be informed by data. Tools like Google Trends and Google Keyword Planner can help develop SEO-friendly job titles that will help put your position at the top of search results. Popular job boards also provide click data, and you can perform A/B testing with your recruiting team to determine which job titles bring in the best candidates fastest.

One client was struggling to hire for a position they called “help desk advisor,” although the position was customer service related. Data showed that more people in the client’s location searched for jobs like “customer service representative.”

By changing the job title in the external job posting, the client received the same number of applications in two weeks that it normally received in six to eight weeks. Because of this, the time-to-offer and time-to-fill both decreased, and the client spent less on attracting candidates.

3. Is the most important information in your job posting laid out in the best way for readers?
heat map of job posting

If your marketing and optimisation efforts are successful at bringing job seekers to your posting, you also need to make sure they get the information they need to decide if the position is the right fit and they want to take the step to apply. According to research by The Ladders, job seekers spend an average of 49.7 seconds deciding that a job isn’t right for them and 76.7 seconds deciding that it is a good fit. This only provides a short window of time to provide the information you want them to see.

By developing a strong employer brand, marketing the position properly and optimisng your job title, you will be able to provide the type of information the candidate needs to see to decide if your role is the right fit. Your challenge is to make sure they can digest it in less than one minute. The Ladders’ study used eye-tracking software to determine that most job seekers follow an “F” shape as they scan job postings.

This means, as you write up and lay out a job posting, you need to put the most important information in the first places a candidate will look. Using headings can also help candidates identify key criteria.

4. Are you using job boards effectively?

The introduction of Google Jobs drastically changed the landscape of job boards. For our UK client base, we are already seeing a decreased return on investment from job boards which has decreased our own spending. To ensure you are spending effectively on job boards, you need to constantly evaluate which boards perform better.

To do this, you need to find out which job boards send an appropriate number of the right candidates. Some boards may send a lot of candidates but very few are qualified. Others may send fewer and fewer candidates altogether. By monitoring this data, you can invest your budget into the right job boards to attract the right candidates. You should also monitor whether the job boards you use integrate with Google Jobs and what impact that will have on your application data because it could vary among different industries.

More benefits of data-driven methods:

  • Increased candidate quality and decreased turnover because you are attracting candidates who are enthusiastic about the position and your organisation and who understand the responsibilities and requirements of the role.
  • Decreased time-to-fill and cost-of-vacancy because candidates who aren’t a good fit self-select out of the process, so you don’t waste money evaluating the wrong people.
  • Increased ability to attract the candidates of the future because you’re speaking to them where they are and in ways they expect as they search for new positions.

Key Takeaways

  • Rather than attracting as many applicants as possible, employers should focus on decreasing the number of unqualified or uninterested applicants while increasing the number of strong applicants.
  • Employers should use a data-informed process to guide their candidate attraction strategies.
  • Employers should consistently evaluate their use of job boards to match the quickly changing job board landscape.

Reducing Unconscious Bias with AI

Last winter during a bitterly cold rush hour, a father and son were in a terrible car accident off the Kennedy Expressway in Chicago. Tragically, the man died before help arrived. Paramedics were able to successfully transport the child to the nearest hospital where he was brought into an operating room for surgery. The surgeon entered the room but immediately stopped saying, “I can’t operate on this boy, he is my son.”

Who was the surgeon? His mother. This slight variation of the surgeon’s dilemma story helps illustrate how unconscious bias works. Every day people unknowingly form opinions about others based on minimal input; this is known as unconscious bias. These thoughts are usually based on deeply held beliefs. No one wants to be biased, but it is part of being human. Unconscious bias can be related to race, gender, age, religion, sexual preference, veteran status, disability status, socio-economic status, college attended and many other attributes. In fact, at least 150 different unconscious bias types have been identified and studied.


In this article, we’ll explore ways that unconscious bias appears in talent acquisition, review how AI can be used to reduce bias in the recruiting process and share tips for how to select an AI partner that can help employers reduce bias.

Unconscious Bias in Talent Acquisition


While employers strive to uphold legal standards for equal employment opportunities, unconscious bias issues in talent acquisition still exist.


Unconscious bias can occur at many stages throughout the recruiting process. For example, a recruiter may unconsciously write job descriptions that appeal more to a certain group of people. A recruiter looking for an IT developer might advertise a role as a Java Ninja, which could discourage women from applying because the title uses more masculine language.


During the candidate screening process individuals might also experience affinity bias, a specific type of unconscious bias that occurs when someone with a certain background is favored. An instance of this might include a hiring manager seeking candidates with an MBA from a particular school. At a company level, bias can even extend to citing a company’s culture fit as a reason to hire a certain type of person, i.e., hiring only younger workers.


When unconscious bias spreads across a candidate pool, bigger risks, such as a lack of organisational diversity, may emerge. A Deloitte study found that a diverse workforce is twice as likely to meet or exceed a company’s overall financial goals. Another study by Catalyst cited a 34 percent higher return to shareholders for companies with more women in executive positions.


Without a diverse workforce, organisations run the risk of possible legal action. A recent age discrimination lawsuit against three large technology employers claimed millions of older workers were allegedly blocked from seeing Facebook job ads because of their age.


Outside of legal action, companies also face the possibility of accidentally harming their own recruiting efforts. Silicon Valley has long been accused of having a less than diverse workforce. However, 47 percent of millenials say they prefer working for a diverse company.

How AI Can Reduce Bias in the Hiring Process


Artificial intelligence can decrease unconscious bias in recruiting practices in two key ways.

  • First, as a sophisticated pattern detector, AI can find bias across millions of data points.
  • Second, when potential candidates are identified, AI can catalogue profiles based only on certain skill sets. AI can also be programmed to ignore all demographic information, like zip codes, race or gender.

While many vendors today offer AI-enabled capabilities for tasks such as interview scheduling or candidate communications, using AI specifically to reduce the challenges of unconscious bias is still emerging. Montage recently launched Unbiased Candidate Review that helps companies reduce discrimination during the selection and interview process. Unbiased Candidate Review, part of Montage’s on-demand voice and video interviewing solution suite, includes hiding the candidate’s identity and voice until a hiring manager enters feedback on the candidate.


Another example of fighting bias through AI includes the story of entrepreneur Iba Masood. As a native of Pakistan that graduated from college in the United Arab Emirates, Masood had a difficult time finding a tech job after graduating. She was not from the traditional pool of young, male, Ivy League candidates that seek developer roles. So she created her own AI solution, TARA, to combat bias in the tech recruiting process. Today, candidates that use TARA’s online freelancer marketplace are judged only by the code they produce. Companies looking to find project-based developers bid based on the current skills needed for a project with no knowledge of the candidate’s socio-economic or previous professional background.

Potential AI Risks


While promising as a solution, AI algorithms need to be built appropriately and monitored frequently to make sure AI does not perpetuate the bias it was programmed to erase. As AI emerges to help reduce unconscious bias, several groups, including federal agencies, are observing AI’s impact to make sure risks are appropriately addressed.


Some of these groups include the following:

  • OpenAI, a nonprofit that creates AI systems via open source for the broader AI community to analyse.
  • The AI Institute, which reviews AI’s ongoing impact on society.
  • Explainable AI, which focuses on tracing the reasoning of AI algorithms back to its human creators so links are not lost.

In addition to these formal groups monitoring AI, organisations can take steps to make sure the correct AI processes are in place. Because AI is constantly evolving, errors in an AI platform’s logic can quickly grow, making problems hard to trace. This is especially true if errors are made at the beginning of the process causing the common problem of garbage in, garbage out. However, there are strategies teams can put in place to reduce risk:

  • Recruiting teams can combine their expertise with data gathered from AI to produce more inclusive job descriptions and candidate pools in the future.
  • Bias can also be reduced by setting strategies internally to identify and eliminate bias through training and other programmes.
  • Organisations should assign diverse teams to build AI algorithms so a wider set of ideas is represented in the AI’s output.
  • Finally, companies should conduct ongoing audits of AI algorithms to test that efforts related to AI are progressing appropriately.

How to Select and Evaluate an AI Provider


When assessing enterprise AI partners for your organisation, make sure to review the following:

  1. Ask questions. If a potential partner isn’t willing to explain how its algorithms work, walk away. A good partner is prepared to support your business and will be able to articulate how the solutions work in terms you understand.
  2. Understand the vision. Not all partners will be experts in your industry. However, from a technical perspective, ask to see a long-term product roadmap to understand plans for the company’s product evolution and what kind of influence you may have into the roadmap features.
  3. Agree on the support model. Make sure the partner has a thorough understanding of how you operate and how AI folds into that process. Share what is critical to you and ensure they’re ready to commit to supporting those items for you. Without this, your support of your own clients could be affected.