Alexandra Levit's Water Cooler Wisdom

Kelly Monahan on Why the Future of Leadership is Emotionally Intelligent

Over the last decade, I've had the privilege to work with the brilliant Christie Smith and Kelly Monahan while they were at Deloitte, and then again with Kelly as a future of work subject matter expert for Upwork, where she leads the Upwork Research Institute. When I learned they were writing a book together, I couldn't have been more excited, and Essential: How Distributed Teams, Generative AI, and Global Shifts Are Creating a New Human-Powered Leadership has certainly delivered on its title. I recently sat down with Kelly for a Q&A to share more details about the book writing process and the 21st century leadership advice we can't afford to ignore.

How did you two meet each other and how did this collaboration come about?

Kelly: Christie and I met almost a decade ago at Deloitte. She and I began to partner on research together and figured out pretty quickly we enjoyed working together. I bring more of that analytical research thinking while she brings the executive strategic viewpoint. Our paths then crossed again at Accenture where we started kicking around the idea of a book, but the timing just wasn't quite right. Finally in 2023 we were both at a point to visit this collaboration again and as they say the rest is history!

 

Briefly, what's the origin story of Essential? Why did you both feel you were the right duo to write this book?

 

Kelly: I am using the Elmo fire GIF to describe the way most leaders feel today. Yes, leading teams and businesses have always been challenging. But what's different today is that there is disruption at nearly every level of society today. Whether it's working across distributed teams, dealing with the fast and furious AI developments, government changes and a generally burned out workforce coming out of a pandemic, there is a lot to manage. And, most leaders haven't been trained in the psychology of human behavior at work. We've taught a lot of leaders how to manage a P&L in a relatively stable environment, but haven't done a lot to help them navigate the needs of people in uncertain environments. So, we wanted to provide a research based look at helping leaders navigate the human side of business today. We feel we are the right duo because of generational differences. Christie is a seasoned executive representing the existing leadership paradigm that Baby Boomers have established. I represent the Millennial generation that has often challenged a lot of what Baby Boomers have normalized in business settings. Our hope in writing this together was to bridge the generational gap that we often experience in the workplace and bring both sides of the lived experience of work today.

 

An emotionally intelligent leader in the age of AI may at first seem counterintuitive. Why do you feel human-powered leadership is more important now than it has ever been?

 

Kelly: I think AI is challenging us to ask the fundamental question of what does it mean to be human today. When a lot of the cognitive work can know be done by AI, what should humans be doing. For so long we've used technology to do the same type of things faster and cheaper, but now it's time to upend what we know of work and ask newfound questions like how can organizations better meet the needs of their people? How can leaders suspend their self-interest so that more people thrive in our organizations? How do we optimize rather than maximize resources at the expense of people and planet? We are at a critical juncture in our shared human work experience and I think AI can cause us to ask even more human questions than we've done before.

 

Both of you have very deep research benches. Why do you think it's important for "future of work" people to have quantitative support for their forecasts?

 

Kelly: The reality is if you want to get a seat at the table you need to bring data. For too long the people movement have been overlooked by business executives and board rooms because they've failed to see the link between performance and meeting human needs. This is why we wrote Essential. We wanted them to have the data and science behind elevating humanity at work. At the end of day, yes it's the right thing to do, but as we laid out in the book, it is also the right business thing to do. Businesses that treat their people well outperform in the long-run those who don't.

 

If readers could remember one thing from Essential, what's the lesson you'd want to impart?

 

Kelly: Stay curious! The world is rapidly changing around us and we have to keep an open mind to rethink many of the norms of business today. Relationships, routines and resource allocation can all be done better if we change our frame about people at work. Most people today want to work; they just feel overlooked and forgotten in their work systems. Be the leader that sees their people and remains curious!

 

Thanks to Kelly (and Christie) and please check out Essential at your first opportunity!

The Future of Compensation in the Age of Adaptability

In ManpowerGroup’s 2024 Age of Adaptability report, we discussed how workers are expecting greater customization in all aspects of the employee experience – which, of course, includes compensation and benefits.

Since the business world became more structured more than a century ago, fixed and consistent compensation among groups of employees has been the standard, but increasing hyper-personalization is a thread that runs through all our considerations about the future of total rewards.

In HR.com’s 2024 report on the future of compensation and total rewards, 70% of leader respondents agreed that updating their organization’s total rewards strategies will help keep pace with changing attitudes around compensation. In addition, 85% said that it’s important to modify reward strategies for individual contributors.

In this piece, we’ll explore compensation best practices as we approach the quarter mark of the twenty-first century, such as agile compensation models, pay transparency and equity strategies, lifestyle and financial wellness offerings, and the involvement of AI in decision-making – which could paradoxically make compensation more uniform at a time when employees are demanding the opposite.

Pay Grades and Salary Bands No More

Traditionally, organizations made compensation decisions based on pre-set pay grades and salary bands, but in the post-pandemic business world, many question whether this model is fair, equitable, or well-suited to rapidly evolving conditions.

My research suggests that the most effective compensation strategies are more agile and allow organizations to recalibrate total rewards based on real-time factors inside and outside the company.  And rather than being assigned a one-size-fits-all title, salary, and benefits package upon hiring, employees can now customize the total rewards package that best matches their individual preferences based on an a la carte menu of options.

As Anita Lettink, a global future of work expert and the author of Equal Pay for Equal Work, told me, this approach works better because we can no longer view employees in homogenous groupings when offering rewards. “People don’t adhere to specific life stages anymore – for example, needing childcare in one’s 30s – so it makes sense to let employees pick and choose on a monthly basis,” she said.

In practice, a new hire may exchange lucrative stock options or company-funded retirement for a lower base salary. In tandem with this trend, more organizations are offering company equity to individual contributors rather than reserving it for senior leaders. Lettink said companies are also launching “employee sharing” initiatives in which workers receive payouts for something the organization created or revenue they helped to generate. “These programs encourage behaviors that are beneficial to company growth,” she added.

Agile compensation models don’t rely on a once-a-year performance review to determine an incremental salary bump or bonus, but rather leverage technology to auto-adjust rewards frequently in keeping with industry and market developments, larger economic factors like inflation, and peer feedback. These nimble strategies involve a broader range of metrics for assessing value including specialized employee skills, innovative contributions to company growth, and supervisor effectiveness.

Pay Transparency and True Equity Will Sweep the Globe

Pay transparency, which refers to openly disclosing the salary range for a given position, is considered a critical step in the journey toward pay equity. Although Lettink correctly noted that pay transparency is driving positive change for employees – especially at the lower levels – many organizations tend to drag their feet until they are mandated to deploy it. However, the concept is gaining momentum all over the world and we should prepare for it to be universal in the coming years.

Despite increased attention to the issue over the last decade, pay disparities based on race and gender remain stubborn problems. In response, a bevy of equal pay regulations designed to promote fairness have taken root. Organizations are ensuring compliance with these regulations by increasing their use of pay equity software to run statistical analyses of their compensation models, develop benchmarks, and derive core insights by comparing internal and external data.

Equity analysis isn’t just for leveling the playing field for women and underrepresented minorities. These tools may also illustrate pay disparities between employees at a specific location, function, or level and employees with similar characteristics inside and outside the company. Objective and ongoing reporting of pay gaps facilitates their immediate resolution and prevents these gaps from becoming systemic and leading to legal liability.

For the rest of this piece, check out the full blog series at ManpowerGroup.

The Future of Leadership in the Age of Adaptability

In ManpowerGroup's 2024 Age of Adaptability trends report, we discussed how the pandemic forced an immediate overhaul of management as we knew it. While societal disruption, advancing technology, and sustainability reshaped work, leaders needed to steer organizational change without tangible models from which to draw. They also needed to promote upskilling and reskilling, inclusion, and satisfaction among their employees while managing a geographically dispersed and distributed workforce.

Leaders who had done things more or less the same way for two centuries were suddenly operating in the dark. It takes a special kind of person to do this effectively, and this person is what we will refer to as the 2030 Leader.

The 2030 Leader

In 2030, the majority of leaders will be members of the millennial generation, or those born between 1980-95. In the early aughts while entry-level workers, the millennials made their mark early with their insistence on a more empowered, enlightened business world. As an ethnically diverse generation raised on computers, the millennials have adapted seamlessly to the integration of smart machines into the workplace and more naturally engage with diversity, equity, inclusion, and belonging (DEIB) issues.

In general, these circumstances make millennials the ideal candidates to shepherd our organizations into the second half of the 21st century. But of course, everyone is different and some leaders will be more competent in 2030 than others.

I believe that the future of leadership will be co-created by young trailblazers with several core traits including flexibility, humility, emotional intelligence, global perspective, and technological curiosity. Let’s describe these one by one.

Flexibility: The years 2022 and 2030 were characterized by what many termed the “RTO wars.” Entrenched baby boomer leaders wanted the workplace to return to post-pandemic norms, while many employees weren’t having it. Although a majority of organizations settled on a compromise of 2-3 days in the office per week, the RTO wars still exist.

But by 2030, millennial leaders are likely to have put an end to them. Rather, they will be more inclined to accept a reality that includes a variety of employment arrangements that are to some degree customized to each employee. These leaders will be comfortable with the constant change inherent in a rapidly evolving world and are likely to staff accordingly – creating project-based, time-bound teams from a variety of internal and external sources (retired part-timers, fractional executives, subject matter experts, etc.) as business needs require.

As time goes on, leaders will become more proficient in best practices for managing distributed and remote workforces. And millennials will be the first generation of leaders to successfully model effective work/life integration, with a holistic orientation toward work, family, and leisure.

Humility: Back in the 1970s, a management researcher named Robert Greenleaf proposed the notion of servant leadership, a style in which leaders display personal accountability and put the needs, aspirations, and interests of their followers above their own. Never has the concept of servant leadership been more relevant, as ManpowerGroup Chief Innovation Officer Tomas Chamorro-Premuzic argues that the challenges of this century mandate that leaders are selected on competence rather than confidence, humility rather than charisma, and integrity rather than narcissism.

In 2030, organizations will still be in the position of needing to pivot quickly if an established strategy isn’t working, which means that leaders will need to adopt an agile mindset, admit when they’re wrong, and solicit advice from a much wider range of stakeholders – including individual contributors deriving insights from AI-based tools – than they have in the past.

For the rest of this article, visit ManpowerGroup's Global Insights blog.

The Future of Jobs in the Age of Adaptability

Around 20 years ago, leaders started to ask me if nascent AI-based technologies would eliminate the need for human workers. My response then was the same as it is now: not quickly and not totally.

Nevertheless, human jobs are transforming at a rapid rate. According to a 2023 McKinsey report, in the period from 2019 to 2022, the labor market in the U.S. alone experienced 8.6 million occupational shifts. This is a 50% increase from the prior three-year period, and by 2030, an additional 12 million shifts are projected. McKinsey also estimated that 30% of all hours worked by humans today could be automated by 2030.

It might be simpler if the march toward an AI-driven future meant that all human workers would eventually lounge their lives away on cruise ships – depending on technology for their very existence as in the 2008 Pixar movie WALL-E. In reality, though, humans will continue to work as we always have. The work will just look different.

The exact manner in which human jobs are evolving is driven by organizational concerns around profit and productivity. As we shared in our 2024 Age of Adaptability trends report, companies seeking to boost flagging human productivity must focus on finding the right blend of people and technology. We can do this with a thoughtful approach to job redesign and how human work can best be distributed and evaluated in the near future.

Job Redesign

I briefly talked about job redesign in the first article in this series. Job redesign is the process of rearranging or replacing tasks to better align work with real-time conditions inside and outside the organization.

While leaders may be focusing a lot of attention on job redesign now, the need for it is not unprecedented. For example, the bookkeeper job, once essential for every organization no matter how small, was redesigned in the 1980s to reflect the widespread adoption of accounting software. Back then, if you were a bookkeeper who wanted to remain gainfully employed, you had to determine how to add value beyond the software’s capabilities.

To be fair, job redesign is a more complex proposition today because the onslaught of AI-based technologies in our workplaces is impacting a larger number of jobs. But the transition shouldn’t be overwhelming, as the progression to more complete AI integration is occurring more slowly than most people think. Despite the excitement around generative AI, for instance, practical use cases are still limited. Industry analysts at Gartner even predict that in the next few years, we are likely to fall into a “trough of disillusionment” regarding what AI-based partners can do and what they can’t.

Many organizations have already learned the hard way that strategic job redesign does not involve blunt force – or bringing in a new piece of automation or an AI-based software program and letting go of all of the human employees related to that function. The most effective job redesign initiatives assign smart technology components to handle straightforward, repetitive tasks while human employees remain to provide essential oversight.

Firms like Accenture have already quantified how this shakes out. According to a recent analysis on the impact of generative AI, a current human customer service role can be broken into 13 distinct tasks. Of those 13 component tasks, four must still be fully performed by humans, four could be fully automated, and five involve human and machine partnership. Although Accenture didn’t say this, I’ll point out that the five partnered tasks require substantially more human skill than the four transactional tasks technology is replacing.

For the rest of this article, check out the ManpowerGroup Global Insights blog.

The Future of Skills in the Age of Adaptability

In ManpowerGroup’s 2024 Age of Adaptability trend report, we shared how current demographic shifts are exacerbating labor shortages. Specifically, by 2030, members of Generation Z (born 1996-2012) will compose 58% of the workforce and a majority of the large baby boom generation will have retired.

The resulting knowledge deficit means it’s paramount to forecast the future of skills and use this understanding to fill gaps as efficiently as possible. However, for all of the talk about skills-based organizations – which deconstruct traditional roles, break them down into component parts, and then hire people to handle each part – the progress toward this shift in protocol isn’t as rapid as some would prefer. Between now and 2030, the evolution to a true skills focus will be gradual, and not as simple as merely declaring yourself a skills-based organization.

In this piece, we’ll explore how in the near future, the composition and acquisition of an in-demand, workforce-wide skills portfolio can move organizations toward the goal of a skills-based organization.

Skill Composition

The future of skills is complex and rapidly evolving. According to the World Economic Forum’s 2023 Future of Jobs Report, 44% of workers’ skills will be disrupted within five years.

But what skills will be most essential in a world of global, distributed, and automated work, where more surprises are likely around the corner? WEF’s 2023 research found that the hottest skills from an organizational perspective include cognitive and analytical thinking, creative thinking, self-efficacy (resilience, flexibility, and learning agility), curiosity, empathy, social influence, and quality control.

It’s notable that technical AI and big data skills ranked of lower importance than all of these. Why is this the case when AI-related skills are the third highest priority in company training strategies from now until 2027 (nine percent), and the top training priority for companies with more than 50,000 employees?

Leaders may be realizing that it’s not the hard AI and automation skills themselves that are most critical, but the ability to have an effective partner orientation toward working with smart machines. In other words, honing our human “soft” skills is the best way to differentiate our capabilities from AI’s capabilities and provide competent and ethical oversight to the technological “employees” in our workplaces.

In a 2024 LinkedIn Pulse article, systems engineer Arif Sheikh agreed with this take, suggesting that as AI-based technologies automate a greater number of tasks, the value of traditional human skills might at first seem to diminish. But this perspective overlooks the foundational role such skills play in personal development, social interaction, and professional experience.

Sheikh suggested that individuals who learn to navigate social interactions without social media before relying on these platforms will have better outcomes. “This highlights the importance of direct, human connection – a nuance that AI, for all its sophistication, cannot fully replicate,” he said.

In any case, it’s likely that by 2030, the most marketable employees will be those whose skillsets are a blend of job-specific competencies and those that make it possible to work successfully with machines and other humans in a variety of contexts. This means that in terms of training dollars, we might want to put the horse before the cart.

We should also note that within the next ten years, a majority of jobs will have a green component, which may require the development of new skills such as carbon footprinting, sustainability consulting, and climate data analysis across a large swath of industries and functions.

For the rest of this piece, please visit the Manpower Group Global Insights blog.

 

The Future of AI in the Age of Adaptability

For the next several months, I'm going to be featuring a "Future of..." series I'm working on with ManpowerGroup as part of its new Global Insights team.

Within the next five years, we anticipate that the democratization of AI-based technology will lead to greater accessibility across the organization and that employees at all levels will be empowered to integrate AI into relevant job tasks as they see fit. 

As we discussed in “The Age of Adaptability” report, businesses anticipate a 23% churn in jobs over the next five years between the creation of new roles and the reduction of others. But, because more cross-industry examples will emerge detailing how best to deploy AI, organizations won’t be as mystified by its presence and impact on the workforce. AI will increasingly be seen as a force for good!

One might imagine that a futurist has extreme ideas about the future of AI. And while it’s true that I believe AI-based technologies will be true partners in work moving forward and will play a role in the development of the metaverse and immersive work environments that Manpower recently researched, I don’t think the AI of science fiction is likely to come to fruition anytime soon. We are still far from achieving what’s called artificial general intelligence, which is a form of AI that thinks and creates on its own, essentially surpassing human abilities in all types of work.

Since AI-based technologies are not in a position to take over all human jobs as is still feared, this piece will focus on the technologies that are available now – namely generative AI applications and talent intelligence applications – and the role they can realistically play in the workforce in the coming years.

Generative AI Has Legs, But It’s Not the End

Generative AI is capable of generating text, images, or other media by learning the patterns and structure of input training data and then generating new data that has similar characteristics. A workforce-related example involves the development of sophisticated digital assistants that can use an existing arsenal of HR information to respond more accurately to online employee queries, even if they weren’t trained on those exact questions.

The technology has been introduced to the market at a very rapid pace. ChatGPT was released in November of 2022, and then shortly thereafter, OpenAI released a large language model called GPT-4 that was a measurable improvement over the original ChatGPT. Microsoft, Google, and other big technology players are quickly getting in on the action. 

But generative AI is not necessarily the massive breakthrough people think it is. Its release is more the result of a logical linear progression, as we’ve had smart chatbots for quite some time now. Although there has been significant media interest in ChatGPT, it’s not substantially different from what came before. In its current state, generative AI still requires a great deal of human oversight and regulation, and the majority of organizations are just figuring out how to use it effectively for various business purposes. So, if you haven’t cracked the code yet, you shouldn’t lose sleep over it. You’re not behind.

For the rest of this piece, head over to the ManpowerGroup's Global Insights blog.

Don't Be Intimidated by Job Redesign

The need for job redesign is on most HR leaders’ radars in 2024. But in most organizations, it still seems to be more of a talking point than a reality. However, given that Dayforce’s 14^th Annual Pulse of Talent survey found that 37% of respondents said there is a different role with their current employer that better matches their skillset, the process seems ripe with opportunity.

Job redesign is the process of rearranging or replacing tasks to better align work with evolving conditions both inside and outside the organization. And it’s really nothing new. For example, the telegraphist or telegraph operator was one of the first tech-related jobs of the 19^th century. The telegraphist used the most modern equipment available at the time to send and receive Morse code via radio and telephone.

In the 1970s, the telegraph was mostly replaced by telex, a communications network to send text-based messages. So, if you were a telegraphist and you wanted to remain gainfully employed, you had to adapt and learn telex. In other words, the telegraphist job was redesigned with a lot of the same skills and responsibilities – minus the telegraph.

Job redesign may feel more complex and overwhelming today because the pace of technology is faster and has a broader impact in terms of affected occupations. In particular, the arrival of generative AI has leaders wondering exactly how to execute job redesign to incorporate the benefits of this technology.

Before we get into how to make the process more turnkey, let’s address what job redesign is NOT. For example, job redesign is not bringing in a new piece of automation and letting go of all the human employees previously involved in the job targeted by the automation. When integration of automation is done well, the technology takes over more straightforward, repetitive tasks while human employees provide the necessary strategic input, creativity, judgment, and oversight. And that’s where job redesign comes in.

Three practical steps for job redesign
In most knowledge-driven and in many frontline worker occupations, shifting business requirements and emerging technologies mean that employees need new skillsets. Therefore, the process of job redesign involves understanding the individual tasks that encompass the work being done, and then matching or training for skills necessary for those tasks.

Step one: Engage in task analysis

Target a small category of jobs to start, and then assemble a diverse group of stakeholders from across the organization. Make sure this group includes people across levels, and not just leadership, so you have representation from those who are close to the work.

Document the critical tasks currently associated with each job, and note where there are redundancies, areas where technology could be efficiently deployed, and places where you can build a job to become more flexible in structure and environment. You can also rank your tasks according to importance, how often they are performed, how long they take, and the skills required or how people learn how to do each task.

Step two: Create new job titles and descriptions

Next, based on your analysis, group related tasks into new job buckets. With smart technology now helping in new ways with some tasks, there may be room to remove or combine previous jobs. This may involve creating new “super jobs” that cross departmental lines. For example, the new job of people analytics manager might be technically housed in HR but include tasks traditionally housed in IT such as selecting appropriate technology applications, ensuring data quality, and communicating data-related insights to leaders and other constituents.

You can also use this exercise as an opportunity to standardize jobs titles and descriptions across the organization.

For the rest of the piece, head over to the Dayforce blog.

Building Culture with a Distributed Workforce

As we close out 2023, the post-pandemic return-to-office question seems to have resolved. Most organizations have embraced a hybrid model, mandating that non-frontline employees work onsite between one and three days per week. However, this structure doesn’t necessarily equate to a positive work culture that employees are reluctant to leave.

According to the forthcoming Dayforce 2024 Pulse of Talent research, nearly 70% of employees are either looking for a new job or would leave their current organizations if the right opportunity came along. Thirty-eight percent said they had issues achieving their performance goals in the last year, with the main reason being too large of a workload. Only eight percent said their employer is giving them everything they need to be productive.

It's clear that despite having more flexibility than ever before, employees are not as satisfied as they could be. And this does not bode well for a business climate that will continue to be plagued by labor and skills shortages.

Understanding how to build a strong culture in a distributed work environment, a task that few attempted before the pandemic, has now become an organizational imperative. The following five strategies infused with the right employee experience technology may prove useful as you navigate this new terrain.

Conduct ongoing employee needs assessments.

The move to permanent distributed work requires a culture shift in all organizations, but instead of viewing this as an insurmountable task, leaders should look at it as a valuable opportunity to understand the unique requirements of all your employees and address concerns impacting specific groups.

For example, caregivers may report that office commutes are a hardship, while employees who are underrepresented minorities may experience greater bias and more microaggressions in an in-person office environment. Leaders should know about these issues before they result in quiet or actual quitting.

Employee pulse taking doesn’t have to be a ton of work. You can automate an employee experience platform to survey your employees on a regular cadence and determine what they need and want as well as general workplace sentiment.

You can also leverage an employee experience platform to create a real-time, two-way path to more in-depth dialogue and feedback with senior leaders and HR representatives. Once upon a time, the flow of information from the top to the bottom of the organization might have been more of a trickle, and c-suite communication may have lacked transparency, vision, and purpose. When an organization is empowered by employee experience technology, this no longer has to be the case.

Reimagine office space as a destination.

Since employees are in the office less frequently and often have a choice whether to be there on a given day, leaders must make attendance worth their while. Facilities like onsite daycare, a gym, and open, casual lounges to support informal interaction are great-to-haves, but if your budget doesn’t allow for such things, offering a space employees want to visit could be as simple as providing extra time with leaders via scheduled and unscheduled office events. It’s also okay to spend a little money on offsite gatherings as the rapport-building that takes place at these is often priceless.

Finally, if your online employee experience is immersive enough, it will complement the -person experience beautifully. Used to market and generate excitement about upcoming events at the office and bring your employees’ great work to life, these platforms can add depth and creativity to your in-person culture and be a fun destination in their own right.

Watch out for proximity bias.

A Prezi survey found that over 66% of hybrid workers feel that workplaces favor employees who are together in a physical office. Additionally, according to my own research, a majority of employees feel they are not as effective when communicating via videoconference. Leaders can remedy this issue by restructuring meetings, revamping performance expectations to focus on output, and ensuring there is a fair mix of in-person and online platforms to network and show off one’s skills.

An employee experience platform can also assist with combatting proximity bias. Select technology that can highlight individual employee profiles on the manager’s home page so everyone on the team – remote and non-remote – is front and center. Managers can also be offered the option to easily develop and send targeted employee communication that calls attention to each direct report’s personal and professional development.

Offer assistance specific to distributed work challenges.

Always-on employees require easy access to systems that allow them to complete work wherever they are, and “hoteling” at the office should be a seamless, non-chaotic experience. Match your in-office policy with more flexible benefits for taking time off when needed, and coordinate team office time so your employees reap the full benefits of in-person collaboration and aren’t simply sitting in an empty cubicle farm alone.

A distributed work environment in a constantly changing business climate also requires your HR information delivery to be comprehensive and on point. Consider an employee experience platform with mobile and device agnostic capabilities, which can customize content for particular teams and roles, and help employees find what they need through intelligent search.

An AI-enabled platform has the additional benefit of screening incoming HR issues and quickly routing them to the correct person, which is essential when leaders cannot guarantee that an employee who walks down the hall to HR will be able to speak to a live human.

When your people are running at a million miles an hour and spread out all over the country or world, it is unfortunately easy to lose sight of what makes your organization a special place to work. While a distributed work environment requires leaders to put more conscious effort into culture, ultimately this renewed focus is probably for the best!

This article was originally published on Ceridian.com.

 

A New Era in Tech-Based Recruitment

Communicating with the passive candidates whose email addresses you’ve stored in your CRM isn’t a new idea. Taking a page from the marketing team’s playbook and segmenting those candidates into groups based on a common qualifier (location, career stage, etc.) isn’t necessarily new either.

What has changed in recruitment segmentation, however, is the power of technology to help talent professionals do it more effectively. First of all, since recruitment segmentation came onto the talent acquisition scene as a popular strategy, the ability to automate email campaigns and customize their cadence to the individual has grown far more sophisticated. This is done by creating intelligent workflows.

According to IBM in a recent white paper, intelligent workflows are processes created by combining artificial intelligence and predictive analytics to enable organizations to segment candidate pools and decide how to modify the experience based on the candidates’ expectations and needs.

Organizations can use segmentation and automation hand in hand to design the recruitment experience based on candidate availability, work effort and experience and to provide different levels of service at the right point in time in the hiring process.

“Automation is especially crucial in terms of speed of engaging candidates — and keeping them engaged throughout the entire process,” wrote the IBM authors. “Even with higher unemployment rates, top candidates are in high demand, and competition to hire is fiercely competitive. Organizations that do not automate the process to the degree that it both entices and meets the candidates where they are are likely to see top recruits accept offers with competitors.”

The IBM authors pointed out that by deploying intelligent workflows, HR leaders can access real-time information that gives them a complete picture of their labor and talent pools. The strategy also allows for a more conscious approach to diversity, equity and inclusion (DEI). “Instead of having to wait for historical data and react to changes that have already occurred, recruiters can create and change experiences to open doors for candidates in ways previously not possible,” they said.

They cited the example of one company that shifted from a center-based employment model to a co-location model, which meant that 40% of their employees would work virtually. But many employees in contact center positions preferred working on site, and attrition occurred.

The company then used segmentation to determine talent availability and virtually manage the recruiting process through texting, self-scheduling and video interviews. Because so many of the organization’s employees did not want to make the move to remote work, the organization added a personalized touchpoint to encourage top talent to remain in the pipeline. As the organization examined the data and was informed of the shift in preferences, recruiters adjusted their approach to improving hiring success.

Of course, the best use of software-driven intelligent workflows incorporates human recruiter creativity. My favorite example is from a Recruiting Daily blogger, Christine Hampton. She has used intelligent workflows to segment and automate communications to passive candidates by, among other things, the rejection reason and recruitment event.

“If a candidate tells me they are on a contract till December, then slamming them with jobs right now will just frustrate them,” she wrote. “I note if the candidate is interested, and I set up a multi-channel cadence to stay in touch till their contract is complete.”

Christine explained that you can have separate segments for a myriad of rejection reasons – “just started a new job,” “happy in current role,” “can’t meet salary requirements,” etc. Not only does this approach align with future recruitment marketing campaign messaging, but it also saves time and creates a platform for starting personal conversations with candidates.

She added that if you’ve been recruiting for a while, you have likely attended many events. “You meet a candidate at a job fair, and they pique your interest, but the timing isn’t right. Three months later, an opportunity arises, and you think, ugh, what’s the name of that lady I met three months ago? She had red hair, about five feet five inches, and had glasses,” she said. “I am sure I’ve had a few missed connections in the past before the CRM existed.  Now I keep a folder for the specific event and date, and the candidate is easier to find (and communicate with).”

The bottom line is an ironic one. In this new era of recruitment segmentation, the best TA professionals will leverage technology to become even better at developing strong human relationships with their top candidates.

To learn more about how to leverage technology to build a stronger talent pipeline, check out my recent webinar with SilkRoad and ERE Media!

Trends Shaping Talent in 2023

Now that we’re into the second quarter of 2023, we can see that the talent acquisition (TA) world has a different tint. Despite the specter of recent layoffs and a looming recession, widespread skills shortages and a low overall labor force participation rate (LFPR, or the number of people in the workforce or actively looking for work) mean that organizations have had to deploy more innovative recruitment strategies.

These trends are reaching critical mass:

Internal Mobility

When it comes to lateral moves and internal opportunities, most organizations have always talked a good game. However, in practice, managers were more likely to hoard top talent. A poor infrastructure often restricted employee movement from one team to another, even if a manager was supportive. But during the COVID-19 pandemic, leaders recognized the utility of redeploying workers from a slow area of the business into a more viable one. Since then, internal mobility has gained momentum.

This year is different due to the more widespread usage of technologies that drive internal mobility – namely, talent intelligence and predictive analytics. Rather than waiting for an individual employee to express interest in a given position, artificial intelligence allows leaders to proactively determine who within the existing workforce might have the right skill set to meet a current or near-future need or who could be easily trained to do so.

Executive Freelancers

The professional contract workforce has been growing for the last decade, but traditionally, freelancing was mostly limited to individual contributors in professions like writing, marketing and information technology. Because these workers usually completed work that could be more narrowly defined within the scope of a “project,” this made sense.

In 2023, however, pervasive contract work has expanded to other professions, including law and finance. We are increasingly seeing organizations using “interim” c-suite executives to take over for a leader who is on leave, to trial a new hire for fit, or to temporarily fill the position while they search for a permanent hire.

Unfortunately, it is still the case that organizations often treat contract workers as second-class citizens. But as they become a more significant percentage of the employee mix, TA leaders must leverage technology to nurture their relationships with this population and deliver the appropriate opportunities, training and communications.

For more trends, or to check out my recent webinar on talent intelligence, head on over to the SilkRoad blog.