Industrywide Initiative Brings Blockchain to HR

Although many HR professionals would think of a blockchain as an obscure element of technology with very little practical application in their jobs, it can protect those who are involved in exchanging data in digital environments. Read this blog post to learn more.


To many human resource professionals, blockchain may sound like an esoteric technology with little practical application in their jobs. But an ambitious initiative called the Velocity Network Foundation (VNF) shows how blockchain has near-term benefits for both recruiters and job seekers. Experts say the project is one of a growing number of uses for blockchain—in talent acquisition, payroll and data security.

Blockchain technology allows two or more people, businesses or computers that may or may not know each other to safely exchange data in digital environments without having an intermediary validate the transaction.

The VNF is a nonprofit consortium of 15 companies in HR technology and education industries. It was formed to reinvent how the career records of job seekers and students are shared in the global labor market. A blockchain-powered platform streamlines the way work history, professional achievements, skills, talent assessments and educational certifications are verified, stored and shared.

Founding members of the VNF are Aon's Assessment Solutions, Cisive, Cornerstone OnDemand, HireRight, Korn Ferry, National Student Clearinghouse, Randstad, SAP, SumTotal Systems, SHL, Ultimate Software, Unit4, Upwork, Velocity Career Labs and ZipRecruiter.

Benefits for Job Seekers, Recruiters

On the VNF platform, job seekers create and own a verifiable digital record of their career credentials and can share it with others. According to a 2019 global study from Accenture, more than 70 percent of 10,000 surveyed employees said they want to own their work-related data and take it with them when they leave their jobs—and nearly half (48 percent) of C-level executives were open to allowing them to do so.

Experts say portable work records help recruiting teams. Recruiters get easier access to an all-in-one digital collection of employment history and can evaluate candidates more quickly.

Yvette Cameron is co-founder and executive vice president of Velocity Career Labs, a developer of blockchain technology that helped establish the VNF. Cameron said the foundation is initially focused on building a platform that serves as a "public utility layer." The project's second phase will enable network members to build and integrate applications that facilitate the exchange of credentials between job seekers or students and employers and educational institutions. Being open and transparent about the process is key to the foundation's success, she said.

"We wanted to include members from across the industry to solve the challenge of how career records are shared in the labor market because we believed no single vendor or organization could address it," Cameron said. "Taking an industrywide approach means the VNF will be owned by nobody and governed by everybody."

Debasis Dutta, vice president and general manager of product management for vendor SumTotal Systems in Gainesville, Fla., said the network will benefit job seekers and recruiters alike. In a labor market where verifiable skills are increasingly in demand and the relevance of college degrees is shrinking, Dutta said employers need quick, secure access to a job-seeker's skills.

"We're leveraging blockchain to address the problem of job candidates or employees owning their own verifiable career credentials and making the process of checking employment history and skills more efficient for recruiters," Dutta said.

Cameron said blockchain means job candidates no longer have to be at the mercy of their employers' systems to get quick access to information about their work histories. "The goal is to put people back in control of their digital professional credentials in a trusted and verifiable way and fix the underlying data exchange problem we have in the labor market," she said.

Apratim Purakayastha, chief technology officer with the Skillsoft group (which owns SumTotal Systems), said blockchain-inspired approaches like the VNF also can help when creating internal project teams. "Organizations that are constantly bidding for projects often have to assemble project teams with the right skills, and prospective clients want to see proof of those skills," he said. "If verified career credentials can be quickly shared with clients through blockchain, it improves the chance of success in those projects."

Blockchain Gains Traction in HR

HR's use of blockchain is growing incrementally. Research and advisory firm Gartner found that 12 percent of 500 surveyed HR and technology leaders are using blockchain-based solutions in their HR function today and another 23 percent are experimenting with the technology in their area of responsibility. Of the latter group, half are running blockchain-inspired pilot projects in their HR function, the study found.

Matthias Graf, a senior director analyst in Gartner's HR practice, said the top three HR process areas where study respondents reported using or piloting blockchain are in HR analytics and reporting, policies and governance, and workforce planning. But Graf also noted an important distinction between "adoption" and "maturity levels" of the technology within human resources.

"If you take a closer look at where blockchain solutions are most advanced in HR, the picture differs," he said. "The most mature applications can be found in the areas of compensation and benefits, recruiting and employee relations, and labor law."

An example is paying gig workers. Blockchain solutions can facilitate real-time payments, the Gartner study found, bypassing intermediaries like payroll aggregators or banks. Blockchain can make it easier to employ and pay workers in far-flung locations around the globe where the payment infrastructure may be limited, as well as make it more efficient to verify the identity and experience of such workers.

Chris Havrilla, vice president of HR technology and solution provider research for Bersin, Deloitte Consulting in Atlanta, said using blockchain for instant pay can expand access to gig talent and make contract jobs more attractive to top candidates.

Blockchain and Data Privacy Regulations

Companies considering using blockchain often wonder how it aligns with data privacy regulations like the European Union's General Data Protection Regulation (GDPR). Gartner's study found 40 percent of respondents cited "data security and privacy concerns" as their top worry about using blockchain, followed by 31 percent who cited "integrating blockchain technology with existing technology architectures."

Cameron said no proprietary data or personally identifiable information from users will be stored on the VNF blockchain platform. "Depending on the approach that's taken with blockchain, you can be 100 percent compliant with GDPR," she said. "In our approach, career credentials are owned by the individual and stored privately in a trusted way on their own devices. You decide as a job candidate or student who gets access to those credentials, when and for how long."

SOURCE: Zielinski, D. (27 February 2020) "Industrywide Initiative Brings Blockchain to HR" (Web Blog Post). Retrieved from https://www.shrm.org/ResourcesAndTools/hr-topics/technology/Pages/Industrywide-Initiative-Brings-Blockchain-HR.aspx


Data-Driven Decisions Start with These 4 Questions

With data being considered the new oil, unique advantages are being brought into the business world. Properly using data can result in unimaginable possibilities, but to get the correct answers the right questions must be asked.  Read this blog post to learn more about how data is introducing optimized operations and new possibilities with the help of new questions being asked.


Data has become central to how we run our businesses today. In fact, the global market intelligence firm International Data Corporation (IDC) projects spending on data and analytics to reach $274.3 billion by 2022. However, much of that money is not being spent wisely. Gartner analyst Nick Heudecker‏ has estimated that as many as 85% of big data projects fail.

A big part of the problem is that numbers that show up on a computer screen take on a special air of authority. Once data are pulled in through massive databases and analyzed through complex analytics software, we rarely ask where it came from, how it’s been modified, or whether it’s fit for the purpose intended.

The truth is that to get useful answers from data, we can’t just take it at face value. We need to learn how to ask thoughtful questions. In particular, we need to know how it was sourced, what models were used to analyze it, and what was left out. Most of all, we need to go beyond using data simply to optimize operations and leverage it to imagine new possibilities.

We can start by asking:

How was the data sourced?

Data, it’s been said, is the plural of anecdote. Real-world events, such as transactions, diagnostics, and other relevant information, are recorded and stored in massive server farms. Yet few bother to ask where the data came from, and unfortunately, the quality and care with which data is gathered can vary widely. In fact, a Gartner study recently found that firms lose an average of $15 million per year due to poor data quality.

Often data is subject to human error, such as when poorly paid and unmotivated retail clerks perform inventory checks. However, even when the data collection process is automated, there are significant sources of error, such as intermittent power outages in cellphone towers or mistakes in the clearing process for financial transactions.

Data that is of poor quality or used in the wrong context can be worse than no data at all. In fact, one study found that 65% of a retailer’s inventory data was inaccurate. Another concern, which has become increasingly important since the EU passed stringent GDPR data standards is whether there was proper consent when the data was collected.

So don’t just assume the data you have is accurate and of good quality. You have to ask where it was sourced from and how it’s been maintained. Increasingly, we need to audit our data transactions with as much care as we do our financial transactions.

How was it analyzed?

Even if data is accurate and well maintained, the quality of analytic models can vary widely. Often models are pulled together from open-source platforms, such as GitHub, and repurposed for a particular task. Before long, everybody forgets where it came from or how it is evaluating a particular data set.

Lapses like these are more common than you’d think and can cause serious damage. Consider the case of two prominent economists who published a working paper that warned that U.S. debt was approaching a critical level. Their work caused a political firestorm but, as it turned out, they had made a simple Excel error that caused them to overstate the effect that debt had on GDP.

As models become more sophisticated and incorporate more sources, we’re also increasingly seeing bigger problems with how models are trained. One of the most common errors is overfitting, which basically means that the more variables you use to create a model, the harder it gets to make it generally valid. In some cases, excess data can result in data leakage, in which training data gets mixed with testing data.

These types of errors can plague even the most sophisticated firms. Amazon and Google, just to name two of the most prominent cases, have recently had highly publicized scandals related to model bias. As we do with data, we need to constantly be asking hard questions of our models. Are they suited to the purpose we’re using them for? Are they taking the right factors into account? Does the output truly reflect what’s going on in the real world?

What doesn’t the data tell us?

Data models, just like humans, tend to base judgments on the information that is most available. Sometimes, the data you don’t have can affect your decision making as much as the data you do have. We commonly associate this type of availability bias with human decisions, but often human designers pass it on to automated systems.

For instance, in the financial industry, those who have extensive credit histories can access credit much easier than those who don’t. The latter, often referred to as “thin-file” clients, can find it difficult to buy a car, rent an apartment, or get a credit card. (One of us, Greg, experienced this problem personally when he returned to the U.S. after 15 years overseas).

Yet a thin file doesn’t necessarily indicate a poor credit risk. Firms often end up turning away potentially profitable customers simply because they lack data on them. Experian recently began to address this problem with its Boost program, which allows consumers to raise their scores by giving them credit for things like regular telecom and utility payments. To date, millions have signed up.

So it’s important to ask hard questions about what your data model might be missing. If you are managing what you measure, you need to ensure that what you are measuring reflects the real world, not just the data that’s easiest to collect.

How can we use data to redesign products and business models?

Over the past decade, we’ve learned how data can help us run our businesses more efficiently. Using data intelligently allows us to automate processes, predict when our machines need maintenance, and serve our customers better. It’s data that enables Amazon to offer same-day shipping.

Data can also become an important part of the product itself. To take one famous example, Netflix has long used smart data analytics to create better programming for less money. This has given the company an important edge over rivals like Disney and WarnerMedia.

Yet where it gets really exciting is when you can use data to completely re-imagine your business. At Experian, where Eric works, they’ve been able to leverage the cloud to shift from only delivering processed data in the form of credit reports to a service that offers its customers real-time access to more granular data that the reports are based on. That may seem like a subtle shift, but it’s become one of the fastest-growing parts of Experian’s business.

It’s been said that data is the new oil, but it’s far more valuable than that. We need to start treating data as more than a passive asset class. If used wisely, it can offer a true competitive edge and take a business in completely new directions. To achieve that, however, you can’t start merely looking for answers. You have to learn how to ask new questions.

SOURCE: Haller, E.; Satell, G. (11 February 2020) "Data-Driven Decisions Start with These 4 Questions" (Web Blog Post). Retrieved from https://hbr.org/2020/02/data-driven-decisions-start-with-these-4-questions


How Next-Gen Technology Can Keep HR Data Safe

In 2018, the FBI reported having 350,000 complaints of internet crimes, which is a rise of 23 percent over five years. With an increase in internet crimes, HR departments are turning to security approaches that are powered by artificial intelligence (AI). Read this blog post to learn more about how artificial intelligence is helping companies with cybersecurity.


As hackers grow ever-more inventive and data privacy laws are enacted around the globe, HR leaders are faced with the challenge of protecting and storing sensitive HR data but not curtailing employees' ability to use that data to make timely workforce decisions.

But there may not be enough cybersecurity colleagues to call upon for advice and technical assistance, which compounds those challenges. Approximately 65 percent of companies reported a cybersecurity staff shortage last year, according to the 2019 Cybersecurity Workforce Study conducted by (ISC)2, an international nonprofit association for IT professionals. As a result, more companies are turning to security strategies that don't require human intervention, such as cybersecurity powered by artificial intelligence (AI) that can proactively monitor and neutralize new kinds of cyberthreats.

New Strategies for More-Sophisticated Attacks

Research suggests that concerns over data security are occupying more of HR leaders' time and resources. The 2019-2020 Sierra-Cedar HR Systems Survey found a 17 percent increase from the prior year's survey in the number of respondents deploying cybersecurity strategies, with 70 percent of HR organizations reporting they have and regularly update such a strategy. That's good news, because the FBI reported receiving 350,000 complaints of Internet crimes in 2018, a rise of 23 percent over five years. Those crimes caused an estimated $2.7 billion in financial losses.

Security experts say the loss of sensitive data like payroll information, Social Security numbers and notes from internal investigations or employee assessments has implications far beyond the HR department.

"When HR systems are breached, it goes beyond the personal data stolen, because HR is central to so many processes across the organization," said Corey Williams, vice president of marketing and strategy at Idaptive, a cybersecurity firm in Santa Clara, Calif. "HR systems are the starting point for much of the access employees have throughout the organization. HR data doesn't sit on an island like other data, and when you have vulnerabilities at the HR level, you're exposing the entire enterprise to wider attacks."

AI-powered security tools represent a new approach to combating threats to HR data. While not a cure-all, these technologies can protect against malicious attacks driven by automated malware and have capabilities, such as pattern recognition, that can identify suspicious behavior and block potential problems or threatening online traffic in real time.

To protect against insider threats, whether malicious or from workers not following sound security practices, some AI-based cybersecurity tools can be trained to learn employees' behaviors when using corporate networks. Research shows that such threats are a growing problem. Insiders caused 48 percent of reported data breaches in organizations in 2019, according to a recent benchmark study from Cambridge, Mass.-based Forrester Research, up from 26 percent of total data breaches in 2015.

More companies are adopting "zero trust" policies that feature a "never trust, always verify" approach to network access or identity authentication and employ tools like multifactor authentication (MFA). MFA is a way to confirm user identities through at least two different factors. In the last year, according to the Sierra-Cedar survey, large organizations increased their use of MFA by 20 percent, and approximately 55 percent of small organizations reported using MFA for HR applications.

Williams said stolen or weak user credentials is still the top cause of data breaches in organizations. "We've seen growing sophistication in the way passwords and credentials get stolen," Williams said. "That includes malware, hackers writing more convincing phishing e-mails that get employees to click on harmful links and other approaches. Companies have found that depending on passwords alone for access is becoming untenable."

Balancing Security with the User Experience

HR leaders have to strike a balance between taking the right data-security measures and ensuring employees can still use HR networks and software in efficient and user-friendly ways—a balance that ideally won't make the workforce feel excessively monitored or handcuffed when using technology.

"Security is often viewed as a teeter-totter, where you are either increasing data security or you are improving the user experience with technology," Williams said. "But it doesn't have to be an either-or scenario."

For example, employees who typically access the same corporate networks or applications in the same fashion likely don't need additional security oversight, but someone accessing that same system from a country he's never been to before and with a different device would need more controls.

"We're seeing more innovation in applying security tools to separate high-risk from low-risk system access," Williams said.

HR leaders also can help enhance security by encouraging their companies to re-evaluate user access policies, experts say. "As people work for a long time in companies, they tend to accumulate access to systems, and that access doesn't necessarily get taken away as they move up or around a company," Williams said. "Employees are often 'over-provisioned' in terms of their access to sensitive data in systems, which can create increased vulnerability for companies." Automated processes tied to the life cycle management of employees can ensure system access is changed or removed as people change roles in a company, he said.

James Graham-Cumming, chief technology officer for Cloudflare, a cybersecurity company in San Francisco, said being more judicious in granting data access is a wise but sometimes overlooked security strategy. "It's not uncommon for CEOs or other senior leaders in a company to have access to all or most corporate systems because they simply feel a need for that access," Graham-Cumming said. "Yet these are more-visible or even public figures who are often targets for hacking. The reality is your C-suite or vice presidents may not need access to all of your systems."

Managing Vendor Risk

Data security and privacy threats can grow as HR functions add more technology platforms to their ecosystems and create more integrations with third-party providers. A recent study by research and advisory firm Gartner found that because human capital management systems are built to integrate with many third-party services—such as LinkedIn, for example—those integrations can expose organizations to risk through "misconfigurations" that result in unintentional data leakage. Depending on the level of integration, problems with security in vendor systems can open the door for attackers, the Gartner study found, as was the case with the retailer Target in 2014.

Security experts say HR leaders should ensure vendors have best-practice data security and privacy protocols in place, such as MFA, in addition to passing an external Service Organization Control, or SOC, 2 audit, which confirms they're in compliance with recommended practices for data security, processing integrity, ensuring privacy and more.

Jared Lucas, chief people officer with the cybersecurity firm MobileIron in San Francisco, said security-related employee training also is more important than ever as malware grows more sophisticated, phishing attacks increase and bad actors use AI-powered methods to hack corporate systems.

"Effective, regularly updated training in what to look for and what to be wary of can close a lot of holes in a company's data security strategy," Lucas said.

SOURCE: Zielinski, D. (10 February 2020) "How Next-Gen Technology Can Keep HR Data Safe" (Web Blog Post). Retrieved from https://www.shrm.org/resourcesandtools/hr-topics/technology/pages/next-gen-technology-can-keep-hr-data-safe.aspx


corporate meeting

Top Challenges for Managers in 2020

Technology and rising trends are creating new challenges for managers to handle. Different situations regarding employees from Generation Z and gig workers, mental health and vaping are creating new ways for managers to interact with employees. Read this blog post to learn more regarding how managers are facing these trials.


Managers in 2020 will face some new challenges, many having to do with their youngest workers. Among those challenges: leading employees from Generation Z and gig workers, addressing mental health issues and helping vapers kick the habit.

Understanding Generation Z

Generation Z workers—generally, those born in 1995 or later—should be on every manager's radar. "Within the next two or three years, they will become the fastest-growing percent of the workforce," said Jason Dorsey, a Generation Z researcher and co-founder of the Center for Generational Kinetics, a research and solutions company in Austin, Texas.

"They don't remember a time before smartphones or social media," he said. They live on their phones, not their laptops, and that's the way they want to communicate—on and off the job. "Gen Z expects to go through the entire application process on a mobile device."

Dorsey said managers often tell him that they don't remember young adults asking about retirement plans, but today's young workers do. "It's the aftershock of the Great Recession, when they saw their parents struggle," Dorsey said.

And Generation Z considers flexible scheduling to be a given, not a perk, Dorsey said. He advises managers who want to attract and retain young workers to offer not only flexible schedules but also flexibility on a start date and the ability to work remotely.

Finally, employees from Generation Z want to have access to their pay beyond the typical twice-a-month paycheck. Platforms such as Instant Financial, which allows workers to access a portion of their pay after every work shift, are appealing, Dorsey said.

Holding on to Generation Z employees may take some coaxing, said Cheryl Cran, founder of NextMapping, a future-of-work consultancy headquartered in Vancouver, British Columbia, Canada. "They are far more entrepreneurial than any other generation," she said, noting that many are gig workers by choice because they value their freedom. Hence, she said, "managers need to think about how to give them freedom" in a traditional job, whether that means offering remote work, flexible scheduling or another solution.

Understanding Gig-Worker Laws

An estimated 15 million adults in the U.S. have alternative work arrangements, according to the Bureau of Labor Statistics. However, concerns about whether employers should classify these workers as employees has spurred states to propose task forces or legislation, according to the National Conference of State Legislatures. Congress, meanwhile, is assessing H.R. 2474, Protecting the Right to Organize Act of 2019. The aim of these efforts is universal: to stop the exploitation of nonemployee workers.

But that goal can misfire, contend some gig workers who are worried about losing their livelihood. California's AB 5, which took effect Jan. 1 and requires businesses to reclassify many independent contractors as employees, has already triggered controversy, including lawsuits challenging it on constitutional and other grounds and pushback from independent journalists, photographers, interpreters, musicians, truckers and others the law doesn't exempt.

Many of these independent workers tend to be young adults who value the flexibility that comes with freelancing. But that flexibility can make traditional employees at the same company resentful. Inspiring teamwork will be no small task, said Alec Levenson, Ph.D., senior research scientist at the USC Marshall Center for Effective Organizations.

"We are at the tipping point of employers hiring people from all different [work] arrangements," he said. "There is not enough focus on productivity, how to get people to work together as a team."

Destigmatizing Mental Health Issues

Mental health disorders, according to the U.S. Centers for Disease Control and Prevention, are among the most burdensome health concerns in the workplace. Nearly 1 in 5 adults reported having some type of mental illness in 2017; stress symptoms, such as headaches or feeling overwhelmed or anxious, are also common.

Adults from Generation Z report the highest stress levels, according to the American Psychological Association's 2019 Stress in America survey. On a scale of 1 to 10, 10 being the highest level of stress, Generation Z reported an overall stress level of 5.8. Generation X averaged 5.5, Millennials 5.4 and Baby Boomers 4.2.

In a tight labor market, where there is stiff competition for talent, managers who show concern about their workers' mental health will stand out to applicants and existing employees, said LuAnn Heinen, vice president for well-being and productivity for the National Business Group on Health (NBGH), a nonprofit headquartered in Washington, D.C., that represents large employers' perspectives on health policy.

In a 2019 NBGH survey, 43 percent of managers said they had a formal mental health strategy in place, including strategies to address depression, anxiety and stress; opioid and other substance abuse; sleep disorders; and workplace bullying.

The managers said the most important components of those strategies are making employees aware of the importance of mental health; hosting mental health awareness events; and training managers on what mental health is, how to recognize trouble signs and how to refer workers to mental health resources.

Even the best mental health programs won't succeed, however, if people don't feel comfortable accessing them, Heinen pointed out. Managers who need help talking with workers about mental health issues can turn to programs such as MakeItOK.org.

Helping Vapers Quit

As of Jan. 7, 2020, a lung illness tied to vaping nicotine or products containing tetrahydrocannabinol, the chemical in marijuana responsible for the high, had resulted in 2,668 hospitalizations and 60 deaths. Employees who vape—many of them young adults—may need help to end their habit.

Programs to help people quit need to be tailored to the generation of workers you're targeting and that cohort's preferred communication style, Heinen said.

Truth Initiative, a nonprofit in Washington, D.C., devoted to eliminating tobacco use, has fine-tuned its decade-old digital tobacco-cessation platform developed with the Mayo Clinic. "We launched a program specifically to address the needs of vapers," said Amanda Graham, Ph.D., chief of innovations for Truth Initiative. The quit-vaping program uses text messages, preferred by many younger adults, and includes instant message support if users feel they are slipping.

SOURCE: Doheny, K. (06 February 2020) "Top Challenges for Managers in 2020" (Web Blog Post). Retrieved from https://www.shrm.org/ResourcesAndTools/hr-topics/people-managers/Pages/Top-Challenges-for-Managers-in-2020.aspx


The New Analytics of Workplace Culture

Workplace cultures vary significantly depending on the workplace itself. With new technology and various ways to analyze employees' viewpoints on their workplaces' culture, new ways are being implemented to analyze and measure cultures around different businesses. Read this blog post to learn more about different methods to process employees' thoughts behind their workplace culture.


A business's culture can catalyze or undermine success. Yet the tools available for measuring it—namely, employee surveys and questionnaires—have significant shortcomings. Employee self-reports are often unreliable. The values and beliefs that people say are important to them, for example, are often not reflected in how they actually behave. Moreover, surveys provide static, or at best episodic, snapshots of organizations that are constantly evolving. And they're limited by researchers' tendency to assume that distinctive and idiosyncratic cultures can be neatly categorized into a few common types.

Our research focuses on a new method for assessing and measuring organizational culture. We used big-data processing to mine the ubiquitous "digital traces" of culture in electronic communications, such as emails, Slack messages and Glassdoor reviews. By studying the language employees use in these communications, we can measure how culture actually influences their thoughts and behavior at work.

In one study, two of us partnered with a midsize technology company to assess the degree of cultural fit between employees and their colleagues on the basis of similarity of linguistic style expressed in internal email messages. In a separate study, two of us analyzed the content of Slack messages exchanged among members of nearly 120 software development teams. We examined the diversity of thoughts, ideas and meaning expressed by team members and then measured whether it was beneficial or detrimental to team performance. We also partnered with employer-review website Glassdoor to analyze how employees talk about their organizations' culture in anonymous reviews to examine the effects of cultural diversity on organizational efficiency and innovation.

The explosion of digital trace data such as emails and Slack communications—together with the availability of computational methods that are faster, cheaper and easier to use—has ushered in a new scientific approach to measuring culture. Our computational-lingustics approach is challenging prevailing assumptions in the field of people analytics and revealing novel insights about how managers can harness culture as a strategic resource. We believe that with appropriate measures to safeguard employee privacy and minimize algorithmic bias it holds great promise as a tool for managers grappling with culture issues in their firms.

The Studies

Our recent studies have focused on cultural fit versus adaptability, the pros and cons of fitting in, cognitive diversity and the effects of diversity on organizational performance. Let's look at each in detail.

Fit versus adaptability. When managers think about hiring for cultural fit, they focus almost exclusively on whether candidates reflect the values, norms and behaviors of the team or organization as it currently exists. They often fail to consider cultural adaptability—the ability to rapidly learn and conform to organizational cultural norms as they change over time. In a recent study two of us conducted with Stanford's V. Govind Manian and Christopher Potts, we analyzed how cultural fit and cultural adaptability affected individual performance at a high-tech company by comparing linguistic styles expressed in more than 10 million internal email messages exchanged over five years among 601 employees. For example, we looked at the extent to which an employee used swear words when communicating with colleagues who themselves cursed frequently or used personal pronouns ("we" or "I") that matched those used by her peer group. We also tracked how employees adapted to their peers' cultural conventions over time.

We found, as expected, that a high level of cultural fit led to more promotions, more-favorable performance evaluations, higher bonuses and fewer involuntary departures. Cultural adaptability, however, turned out to be even more important for success. Employees who could quickly adapt to cultural norms as they changed over time were more successful than employees who exhibited high cultural fit when first hired. These cultural "adapters" were better able to maintain fit when cultural norms changed or evolved, which is common in organizations operating in fast-moving, dynamic environments.

These results suggest that the process of cultural alignment does not end at the point of hire. Indeed, our study also found that employees followed distinct enculturation trajectories—at certain times in their tenure demonstrating more cultural fit with colleagues and at other times less. Most eventually adapted to the behavioral norms of their peers, and those who stayed at their company exhibited increasing cultural fit over time. Employees who were eventually terminated were those who had been unable to adapt to the culture. Employees who left voluntarily were the most fascinating: They quickly adapted culturally early in their tenures but drifted out of step later on and were likely to leave the firm once they became cultural outsiders.

To further assess how cultural fit and adaptability affect performance, Berkeley's Jennifer Chatman and Richard Lu and two of us surveyed employees at the same high-tech company to measure value congruence (the extent to which employees' core values and beliefs about a desirable workplace fit with their peers) and perceptual congruence (how well employees can read the "cultural code" by accurately reporting the values held by peers). We found that value congruence is predictive of retention—employees with it are less likely to voluntarily leave the company—but is unrelated to job performance. We found that the opposite is true of perceptual congruence: It is predictive of higher job performance but unrelated to retention. These results suggest that companies striving to foster a stable and committed workforce should focus on hiring candidates who share similar values with current employees. Employers needing people who can quickly assimilate and be productive should pay greater attention to candidates who demonstrate the ability to adapt to new cultural contexts.

The benefits of not fitting in. When might it better to hire a cultural misfit? People who see the world differently and have diverse ideas and perspectives often bring creativity and innovation to an organization. But because of their outsider status, they may struggle to have their ideas recognized by colleagues as legitimate. In a recent study two of us conducted with V. Govind Manian, Christopher Potts, and William Monroe, we compared employees' levels of cultural fit with the extent to which they served as a bridge between otherwise disconnected groups in the firm's internal communication network. For instance, an employee might have connections with colleagues that bridge both the engineering and sales departments, allowing her to access and pass on a greater variety of information and ideas.

Consistent with prior work, we found that cultural fit was, on average, positively associated with career success. The benefits of fitting in culturally were especially great for individuals who served as network bridges. When traversing the boundary between engineering and sales, for example, they could hold their own in technical banter with the former and in customer-oriented discourse with the latter. People who attempted to span boundaries but could not display cultural ambidexterity were especially penalized: They were seen as both cultural outsiders and social outsiders without clear membership in any particular social clique. However, we also identified a set of individuals who benefited from being cultural misfits: those who did not have networks spanning disparate groups but instead had strong connections within a defined social clique. By building trusting social bonds with colleagues, they were able to overcome their outsider status and leverage their distinctiveness. These results suggest that an effective hiring strategy should strive for a portfolio of both conformists—or at least those who can rapidly adapt to a company's changing culture—and cultural misfits.

Cognitive diversity. Proponents of cultural diversity in teams presume that it leads to cognitive diversity; that is, diversity in thoughts and ideas. But the findings about whether cognitive diversity helps or hinders team performance are inconclusive. Part of the problem is that these studies use imperfect proxies for cognitive diversity, such as diversity in demographics, personalities or self-reported beliefs and values. Moreover, this line of research has rarely looked at how diversity is actually expressed in communications and interactions, which is problematic given that team members are sometimes reluctant to share their real feelings and opinions. Finally, cognitive diversity is often assumed to be static, even though we know team dynamics frequently change over a project's life cycle.

In a new study, which two of us conducted with Stanford researchers Katharina Lix and Melissa Valentine, we overcame these challenges by analyzing the content of Slack messages exchanged among team members of 117 remote software-development teams. We identified instances when team members discussing similar topics used diverse meanings, perspectives and styles, and then analyzed the impact of that diversity on performance. For example, in discussions of customer requirements, different interpretations of the desired look and feel of the user interface in some cases led developers to talk past one another and fail to coordinate, but in other cases sparked creative new ideas.

Our results indicate that the performance consequences of cognitive diversity vary as a function of project milestone stages. In the early stages, when the team is defining the problem at hand, diversity lowers the chances of successfully meeting milestones. During middle stages, when the team is most likely to be engaged in ideation, diversity increases the likelihood of team success. Diversity becomes an obstacle again toward the end of a project, when the team is deep into execution.

Cultural diversity and the organization as a whole. We've seen that there are trade-offs associated with diversity in teams, but how does it affect the performance of entire organizations? Conventional wisdom holds that firms must choose between a homogeneous, efficient culture and a diverse, innovative culture. A homogeneous culture improves efficiency and coordination, the theory goes, because employees agree about the norms and beliefs guiding work, but the benefits come at the expense of fewer novel ideas about how to accomplish tasks. In contrast, a heterogeneous culture sacrifices the benefits of consensus in favor of healthy disagreement among employees that can promote adaptability and innovation. The evidence supporting this thinking, however, is scant and inconclusive.

In a recent study, we analyzed the language that employees used when describing their organization's culture (for example, "our culture is collaborative," "our culture is entrepreneurial," and so on) in anonymous reviews of nearly 500 publicly traded companies on Glassdoor. We first measured the level of interpersonal cultural diversity, or disagreement among employees about the norms and beliefs characterizing the organization. We found that interpersonal cultural diversity makes it difficult for employees to coordinate with one another and reduces the organization's efficiency as measured by return on assets.

We then measured the organizations' level of intrapersonal cultural diversity. Those with high intrapersonal cultural diversity had employees with a large number of cultural ideas and beliefs about how to accomplish tasks within the company (measured as the average number of cultural topics that employees discussed in their Glassdoor reviews). For instance, employees at Netflix conceptualized the work culture in terms of autonomy, responsibility, collaboration and intense internal competition. We found that organizations with greater intrapersonal cultural diversity had higher market valuations and produced more and higher-quality intellectual property via patenting, evidence that their employees' diverse ideas about how to do work led them to be more creative and innovative.

This suggests that organizations may be able to resolve the assumed trade-off between efficiency and innovation by encouraging diverse cultural ideas while fostering agreement among employees about the importance of a common set of organizational norms and beliefs. Again, consider Netflix: Although "multicultural" employees contributed to the company's diverse culture and drove innovation, the culture was nonetheless anchored by core shared beliefs, such as the importance of radical transparency and accountability, which help employees coordinate and work efficiently.

Implications for Practice

How can these findings inform leaders' understanding of culture as a tool for improving the performance of employees, teams and the broader organization?

First, managers can increase retention by hiring candidates whose core values and beliefs about a desirable workplace align well with those of current employees. However, too much emphasis on cultural fit can stifle diversity and cause managers to overlook promising candidates with unique perspectives. Hiring managers should look for candidates who demonstrate cultural adaptability, as these employees may be better able to adjust to the inevitable cultural changes that occur as organizations navigate increasingly dynamic markets and an evolving workforce.

Hiring managers should also not overlook cultural misfits. They can be wellsprings of creativity and innovation. But to make sure they flourish inside the organization, managers should consider assigning them to roles in which they are likely to develop strong connections within particular social groups. That's because misfits need the trust and support of colleagues to be seen as quirky innovators rather than outlandish outsiders.

Second, leaders should be mindful that the expression of diverse perspectives in teams needs to be managed. Cognitive diversity is essential for generating novel, innovative solutions to complex problems, especially during the planning and ideation phases of a project. However, the expression of diverse perspectives can quickly become a liability when the team needs to focus on execution and meet looming deadlines. It is during these times that team members have to unify around a common interpretation of the problem and come to agreement about what needs to get done to solve it. Leaders must be adept at switching back and forth, learning when and how to promote the expression of divergent opinions and meanings and when to create a context for convergence.

An important distinction is warranted here. The term "diversity" is often used to connote variation in the demographic makeup of a firm's workforce. This has been particularly the case in recent years, as companies have tackled pernicious problems such as the underrepresentation of women and minorities in decision-making positions in organizations. In our work, we use "cultural diversity" to refer to variation in people's beliefs and normative expectations, irrespective of their demographic composition. As we pointed out earlier, demographic and cultural diversity are related, but a demographically homogenous group may be culturally diverse, and vice versa. Our research on cultural diversity is relevant to but ultimately independent of efforts to increase gender, race and ethnic diversity in firms.

Third, leaders should foster a culture that is diverse yet consensual in order to promote both innovation and efficiency. Such a culture is composed of multicultural employees who each subscribe to a variety of norms and beliefs about how to do work. These diverse ideas help employees excel at complex tasks, such as dreaming up the next groundbreaking innovation. Managers should encourage employees to experiment with different ways of working—extensive collaboration for some tasks, for example, and intense competition for others. At the same time, a culture should also be consensual in that employees agree on a common set of cultural norms—shared understandings—that helps them successfully coordinate with one another. Leaders can signal the importance of these norms during onboarding and in everyday interactions, just as leaders at Netflix do by rewarding employees for sharing their mistakes with colleagues in order to promote beliefs about the value of transparency.

A New Management Tool

Many of the tools we used in these studies are off-the-shelf products, and there is great potential for managers to use them to help solve practical challenges inside organizations. For instance, Stanford Ph.D. candidate Anjali Bhatt is working with two of us to demonstrate how language-based culture measures can be used to anticipate the pain points of post-merger integration. We are studying the merger of three retail banks, and analysis of emails has revealed stark differences in the rates of cultural assimilation among individuals. Such tools can be used diagnostically to assess the cultural alignment between firms during premerger due diligence, as well as prescriptively during integration to identify where and how to focus managerial interventions.

Yet the accessibility of these tools also raises important ethical concerns. In our work, we maintain strict employee confidentiality, meaning that neither we nor the organization is able to link any employee to any specific communication used in our studies. We also strongly advise against using these tools to select, reward or punish individual employees and teams, for at least four reasons: Accurately predicting individual and team performance is considerably more challenging than estimating average effects for broad types of individuals and teams; culture is only one of many factors influencing individual and team performance in organizations; algorithmic predictions often create a false sense of certainty in managers; and finally, giving any algorithm undue weight can have unintended consequences—for instance, exacerbating human biases that negatively affect women and members of underrepresented social groups.

Algorithms make estimates, but it is ultimately humans' responsibility to make informed judgments using them. Managers must be vigilant about keeping metadata anonymous and must regularly audit algorithmic decision-making for bias to ensure that the use of language-based tools does not have unintended adverse consequences on culture itself—for instance, by breeding employee distrust.

These important ethical questions notwithstanding, we believe that these tools will continue to generate insights that allow managers to finally manage the culture as a strategic resource, and ultimately lead to more culturally diverse and inclusive teams and organizations.

Matthew Corritore is an assistant professor of strategy and organization at McGill's Desautels Faculty of Management. Amir Goldberg is an associate professor of organizational behavior at Stanford's Graduate School of Business. Sameer B. Srivastava is an associate professor and the Harold Furst Chair in Management Philosophy and Values at the University of California, Berkeley's Haas School of Business. He and Goldberg codirect the Berkeley-Stanford Computational Culture Lab.

This article is reprinted from Harvard Business Review with permission. ©2019. All rights reserved.

SOURCE: Corritore, M.; Goldberg, A.; Srivastava, S. (07 January 2020) "The New Analytics of Workplace Culture" (Web Blog Post). Retrieved from https://www.shrm.org/resourcesandtools/hr-topics/technology/pages/the-new-analytics-of-workplace-culture.aspx


Organizations Will Need Data Analytics to Survive

Did you know: the use of data analytics can improve a company's overall performance. Data analytics can differentiate those companies that are going to be disrupted. Implementing technology is simple, but it is HR's responsibility for managing the technological change. Read this blog post to learn more about why data analytics is becoming a need for organizations.


SEATTLE—HR professionals play a critical role in getting their organizations to use data and analytics strategically to compete more effectively.

Jack Phillips, CEO and co-founder of the Portland, Ore.-based International Institute for Analytics, a research and benchmarking services firm for the analytics industry, urged attendees at the Society for Human Resource Management People Analytics conference on Jan. 14 to get focused on data.

"It's proven that the use of data analytics improves overall company performance," he said. "Organizations invest in many things, but budget dedicated to data and analytics is limited. It needs to be a top priority. The broad use of data and analytics will differentiate the companies  [from those] that eventually are disrupted and disappear from the survivors."

And HR is key to the success of winning with data, from sourcing the necessary talent and applying analytics to HR functions to leading change management when adopting a data-driven mindset across the organization.

Implementing the technology is the easy part, Phillips said. Getting your workforce to truly adopt data analytics across the organization is harder. Ultimately HR is responsible for managing that transformational change.

Data Analytics Overview

The data analytics market is in full growth mode, accelerated by the explosion of cloud computing. The technology environment is moving so quickly that it is very hard to keep track of the increasing array and complexity of analytics technology available, Phillips said. But the top-performing companies are investing heavily in data analytics.

"If you are not paying attention through expenditure and [acquisition of] talent you will be behind," he said.

Phillips outlined a maturity model showing the sophistication levels of an organization's approach to analytics. Employers aiming to improve their data analytics function first need to assess where they currently are. Phillips' model includes those at the bottom stages who don't use any data to make business decisions and companies where data analytics may exist in silos without a structure for collaborating across business units.

Most employers likely exist in one of these stages, while many enterprise-level organizations are in the higher aspirational stages where the value of analytics is expressed, or they are data-oriented and use analytics with some internal coordination.

"Only one company we've studied [Amazon] has achieved near perfection as a data-driven company," Phillips said. "You don't come to a meeting without data [at Amazon]. No gut-based decision-making is allowed. Everything is driven by data."

Succeeding with Data

According to Phillips, the key ingredients needed to achieve higher levels of maturity as a data-driven organization include:

  • People with data analytics skills.
  • Organizational structure, processes and technologies in place for those people.
  • Use of the data. "The highest performing companies have superior capabilities on the supply side and business leaders who use the insights that the data analytics teams are providing to drive the business forward," he said.
    Another model he presented breaks down the elements that must be in alignment for companies to succeed with their analytics initiatives. "Without alignment, organizations run the risk of poor or limited results," he said. "To make real progress and become a data-driven organization, the capabilities and assets of these five elements must evolve and mature." The five elements are:

Data. It may seem obvious, but to provide meaningful analytics, data must be high quality, organized, reliable, integrated, and accessible. The raw material must be right.

Coordination. Companies must advocate a single and consistent perspective for analytics across the organization.

Leadership. Senior leadership should fully embrace analytics and lead company culture toward data-driven decision-making.

Targets. The organization should prioritize business targets against which it will apply its analytics. "Data and analytics without a targeted reason for it is worthless," he said.

Talent. Organizations require analytical talent that covers a range of skills from accomplished data scientists to rank-and-file employees who embrace being more analytical in how they do their job.

Employers must also understand rapidly emerging analytical techniques and technologies, Phillips said. The widespread adoption of open source tools has resulted in an explosion of analytical methods and techniques, and with the advent of big data, machine learning and cloud computing, creating an effective technology strategy for analytics is a critical ingredient for success.

HR's Role

Human resource professionals play an important part in getting their organizations up to speed and competitive with analytics, including sourcing the right qualified talent—a difficult task in a labor market lacking the requisite skills—and investing in data analytics for its own functions.

"HR lags behind other business functions when it comes to using data analytics," Phillips said. "Sales, marketing and finance tend to outpace other parts of the business."

HR should be assertive with leadership when advising on budget and staffing for data analytics positions and in creating and managing a workplace culture that values innovation.

"The top performing companies treat their data analytics function as a product, with design thinking and intentional product management," Phillips said.

One positive for employers who may be overwhelmed by implementing a data analytics function is that best practices are easily transferable. "There are many things that you can just copy," he said.

SOURCE: Maurer, R. (15 January 2020) "Organizations Will Need Data Analytics to Survive" (Web Blog Post). Retrieved from https://www.shrm.org/resourcesandtools/hr-topics/technology/pages/organizations-will-need-data-analytics-to-survive.aspx


Implementing AI Technology for HR

Artificial intelligence (AI) has taken the tasks of collecting, copying, entering and checking data off of HR professional's hands. With advancements in technology, AI has become a way to open a variety of opportunities to influence a company's workflow. Read this blog post to learn about artificial intelligence and how it's developing HR managers and leaders.


When HR managers embark on implementing artificial intelligence (AI) into their company's workflow, they'll be grappling with a disruptive technology that changes the way people from HR leaders to recruiters to front-line employees work.

That may be why PwC's latest Human Resource Technology Survey of 599 HR and information technology (IT) leaders worldwide shows that those leaders are cautious about leveraging the technology to drive HR functions.

In fact, 63 percent of those surveyed have not yet implemented artificial intelligence for HR, and many cite various reasons that influenced their decision not to do so, including:

•Cost of implementation.
•Complexity of integration into the existing IT infrastructure.
•Lack of skilled staff.
•Lack of compelling use cases that can be tied to business outcomes.

But while they are hesitant to jump into using AI, 42 percent of respondents said they plan to implement AI for HR over the next one to three years. The technology opens significant possibilities.

"Human resource executives want their teams to focus on meaningful tasks, such as interpreting data, decision-making, storytelling and strategies that enrich the worker experience, which is what AI solutions can offer. Without AI, HR professionals are relegated to collecting, copying, entering, re-entering and checking data," said Mike Brennan, president of Leapgen, a Manhattan Beach, Calif.-based HR consulting firm.

HR leaders will have to find the right tools, team with the right partners, and find the best opportunities to apply AI to HR functions without causing employee anxiety.

Schneider Electric's Story

Andrew Saidy, vice president of talent digitization, talent acquisition and mobility at Schneider Electric, a multinational company based in Paris, oversaw the implementation of an AI-driven platform that revolutionized the talent mobility and career development processes at his company.

Three important factors pushed Schneider Electric, which employs approximately 144,000 employees across 100 countries, to make the change. First, more than half of Schneider's employees are Millennials, a generational group whose members change jobs more frequently than workers in other age groups. According to the U.S. Bureau of Labor Statistics, the average job tenure of Millennials is 2.8 years.

Second, 47 percent of Schneider employees surveyed in exit interviews said they were leaving because they couldn't find their next opportunity within the organization.

Third, the process of matching employees to job opportunities within the company was laborious, cumbersome and lengthy.

"Recruiters were spending weeks waiting for responses, making phone calls, sifting through CVs and selecting which candidates would be chosen for interviews," Saidy said.

With a clearly defined use case for its AI strategy, the company chose to develop a cloud-based, AI-driven talent market. The HR team had to decide whether to build or buy a solution.

"This is an idea we toyed with at the start because we are a technology company, we are a digital company, and we are leaders in digital energy management," Saidy said. "We have a strong team of enterprise IT developers, and we could have had the ability to build a talent platform internally as opposed to buying something outside of the market."

What surprised Schneider's HR team was that there are many vendors offering AI solutions for HR tasks, but having so many AI solution providers to choose from presents other issues.

"You have to be careful when you select a company for your AI project," he said. The vendors "need to be financially stable" and need to have "a clear product road map and customers with proven success. You can't just go for whoever is claiming to provide a solution."

After a three-month search, which included testing vendors' algorithms, Schneider's HR and digital teams decided to buy an internal talent product from Gloat, an Israeli technology company. The platform, called Open Talent Market, leverages AI to match employee resumes with open positions, including long-term jobs and short-term projects.

Part of the software evaluation involved letting employees register on the site and upload their education and experience to get a sense of whether they thought the tool was intuitive, easy to use and engaging. Schneider used a Net Promoter Score to assess employees' experience and enthusiasm for the tool.

The company monitored the number of employee registrations, short-term and long-term jobs that appeared on the site, and successful matches of qualified employees to job posts.

Schneider's HR team also tested the algorithm's ability to adequately address bias and evaluated its security features. Schneider chose software that doesn't require candidates to enter information related to gender or race, or place or date of birth.

Keeping in mind the difficulties Amazon experienced when it built an AI-driven recruiting system that perpetuated gender bias, Schneider is mindful that many of its jobs such as engineer, field technician or electrical engineer have typically been filled by male candidates, Saidy said.

Schneider's technical team also carefully considered the software's security capabilities, measures to protect from data breaches and secure integrations. This was particularly important when considering that Open Talent Market is connected to the company's applicant tracking system, learning management system and human resource information system, as well as LinkedIn.

Recruiter Adjustment

Since its launch in September 2018, Open Talent Market has put Schneider's managers in the driver's seat and has changed the role of some of the company's 200 recruiters—an adjustment that hasn't always been smooth, Saidy said.

"Initially, some recruiters had reservations on the Open Talent Market because of the way it changed their jobs [by giving more control to hiring managers] and took away from recruiters the tasks of sourcing and shortlisting internal candidates, now done by the platform."

Making sure recruiters continue to be motivated, engaged and enthusiastic about their job as their tasks change was a key consideration, Saidy said.

"To address this, we focused on why we put the Open Talent Market in place, what is in it for the recruiters, and how they reinvest their time consulting and supporting managers as well as employees' internal mobility. Keeping the lines of communication open with the teams is an especially important pillar of a successful change adoption."

SOURCE: Lewis, N. (09 January 2020) "Implementing AI Technology for HR" (Web Blog Post). Retrieved from shrm.org/ResourcesAndTools/hr-topics/technology/Pages/Implementing-AI-Technology-HR.aspxA


10 Quick Tips for Avoiding Distractions at Work

The number of notifications that the average employee gets interrupted by each day is between 50 and 60. With more than half of the interruptions being unimportant, these distractions are reducing the productivity rate of their work. Read this blog for tips on how to avoid distractions at work.


In a world of push notifications, email, instant messaging, and shrinking office space, we’re becoming increasingly distracted at work. The average employee is getting interrupted 50 to 60 times per day, and about 80% of these interruptions are unimportant. As a result, people are spending little time in what psychologists call “the flow state,” a space where people are up to five times more productive, according to research from McKinsey.

The constant distractions are not only leaving people less productive, but also more stressed than ever, with a lack of control over one’s work being cited as a major contributor to workplace stress, according to the American Institute of Stress. So, how do we avoid distractions in the office in order to take control of our days, do our best work, and improve our emotional well-being?

1. Practice Asynchronous Communication

When you get an email, it’s actually OK to think: “I’ll get to this when it suits me.”

Aside from the benefit of giving people more time for uninterrupted focus, asynchronous communication predisposes people to better decision-making by increasing the amount of time we have to respond to a request. When you’re on a phone call or video chat, you’re making real-time decisions, whereas if you’re communicating via email, you have more time to think about your response.

In order to practice this successfully, we must do away with the arbitrary “urgency” that still plagues workplaces the world over, almost a century after Dwight D. Eisenhower, who, quoting Dr. J. Roscoe Miller, president of Northwestern University, said: “I have two kinds of problems: the urgent and the important. The urgent are not important, and the important are never urgent.” This “Eisenhower Principle” is said to be how the former president prioritized his own workload.

To optimize an asynchronous message and to avoid a lot of follow-up emails, include the following in your initial request:

  • Sufficient details
  • Clear action item(s)
  • A due date
  • A path of recourse if the recipient is unable to meet your requirements

2. Batch Check Everything

“Just quickly checking” anything, even for one-tenth of a second, can add up to a 40% productivity loss over the course of a day, and it can take us 23 minutes to get back into the zone after task switching.

Rather than sporadically checking things throughout the day, we should batch check email, instant messages, social media, and even text messages, at predetermined times.

If you struggle with self-control, tools like Gmail’s Inbox Pause plugin enable you to pause your inbox once you’ve checked it and only unpause it when you’re ready. Blocksite and the Freedom app also allow you to block access to specific websites and apps during specified intervals.

3. Do Not Disturb

If you’re reading this and thinking: “But I work in an open-plan office, and it’s impossible to avoid interruptions,” try using a signaling mechanism to let your team know that you’re in the zone (or trying to get there) and that they shouldn’t disturb you unless it’s legitimately urgent. This could be as simple as a pair of headphones.

4. Avoid Calendar Tetris

In today’s workplace, it’s a widely accepted norm that others can book time in your calendar, usually at the expense of your own priorities.

Basecamp CEO, Jason Fried, told me on an episode of the Future Squared podcast that at Basecamp, you can’t book time in someone’s calendar without first getting buy-in. This means that most meetings just don’t happen because the would-be meeting organizer usually opts for a phone call or an instant message instead.

Alternatively, consider blocking out meeting-free zones on your calendar, or using a meeting scheduling tool such as Calendly so that people book meetings with you only during scheduled windows, leaving the rest of the day free for focus, and ensuring that you avoid the email tennis matches that scheduling meetings often degenerates into.

5. Close the Loop on Meetings

Instead of risking follow-up interruptions and a meeting to discuss the previous meeting, ensure that you leave each meeting with actionable next steps, clearly assigned responsibilities, and due dates.

6. Stop Using “Reply All”

Reply All, used as a mechanism to share accountability, only adds unnecessary chatter to people’s inboxes and headspace. Take more ownership over your decisions and only email people who need to be informed.

7. Use Third Spaces

As Sue Shellenbarger wrote for The Wall Street Journal, “All of this social engineering (open-plan offices) has created endless distractions that draw employees’ eyes away from their own screens. Visual noise, the activity or movement around the edges of an employee’s field of vision, can erode concentration and disrupt analytical thinking or creativity.”

If you’re struggling with open-plan offices, then try to incorporate more third-space work into your day for critical thinking; try to find a quiet space in the office, a serviced office, or negotiate some time to work from home.

8. Turn off Push Notifications

The average executive receives 46 push notifications per day. To avoid our Pavlovian impulses to respond on cue, simply turn off your push notifications. Find out how here.

9. Use Airplane Mode

You can also use airplane mode to limit text message and phone call interruptions during certain times of day. If the idea of doing this gives you anxiety, you can always exempt specific numbers, such as those of loved ones or valued and important business associates. You can set “Do Not Disturb” mode on an iPhone to allow your designated “favorite” contacts to get through, while silencing other calls or messages.

10. Limit Layers of Approval

While harder to implement, becoming a “minimum viable bureaucracy” — stripping away unnecessary layers of approvals required to get trivial and not-so-consequential things done — means that there will be less paperwork to move around, which means fewer interruptions for people.

Awareness Is Key

Environmental changes aside, human beings evolved to conserve energy in order to stand a shot at surviving on the savannah. As such, we are predisposed to picking the lowest hanging fruit or doing the easiest thing first — think checking email instead of working on that presentation. Becoming more aware of our tendencies to pick the low hanging fruit, getting distracted by low-value activities, is step one towards changing our behaviors.

Organizations that build a culture around minimizing distractions will enjoy the compounding benefit of a focused workforce and will leave their people feeling less stressed and ultimately more fulfilled.

SOURCE: Glaveski, S. (18 December 2019) "10 Quick Tips for Avoiding Distractions at Work" (Web Blog Post). Retrieved from https://hbr.org/2019/12/10-quick-tips-for-avoiding-distractions-at-work?ab=hero-subleft-2"


Employers should ‘double down’ on tech and benefits data analytics. Most still aren’t

Did you know: 53 percent of benefits leaders say the biggest challenge they face regarding effective benefits programs is gaining access to their data. Read this blog to learn why employers should 'double down' on technology.


Utilizing data to understand which health benefits will best work for employees is key to staying ahead of the curve, but just 18% of benefits managers believe their organization has the right tools to implement these programs.

That’s according to a new survey by Artemis Health, which found that while 88% of benefits leaders say data is somewhat to extremely important in designing and managing an effective benefits program, some 53% percent say access to data is their biggest challenge.

“Benefits analytics is the key to feeling confident in building better benefits programs for their organizations and their employees,” says Grant Gordon, CEO and co-founder of Artemis Health.

Obtaining this data is often the biggest challenge to understanding what companies should be offering and if it’s in line with the demands of their workforce, the survey found.

“When you look at data, you can make a hypothesis about what you should do, and if it's working, you double down. If it's not working, then you change tactics,” Gordon says. “But because data is so hard to get here, many benefit leaders don't have that reflex or muscle memory.”

Gordon spoke with Employee Benefit News about the role of data analytics in benefits planning and how companies can best utilize these tools.

Why is data such a critical part of benefits planning?

The top cited source of information that benefits leaders are relying on to define their benefits is employee feedback, and you absolutely have to have that. But if you take a step back from that, the role that I view data having is an objective way to look at what's actually happening with your employees and understand what the big strategic issues are. You may miss a silent group of people who really need help or an emerging trend that you need to address that you could have caught with data.

Most employers said that they didn't have the proper tools to use data effectively. Why do you think that is?

Just getting your hands on the data is a big challenge. You have to go the vendors that hold it, you have to give them assurances and sign legal documentation that you're going to use it appropriately and that you’ll keep it private, and that can take a long time. And then once you get the data, there's no really good data infrastructure in this industry to share data securely. So there's some orchestration challenges in shipping data around. You might get wrong data or you might get incomplete data. And then once you get it, it can be full of errors that need to be corrected. So before you even get to the starting gate, there's a big challenge.

Then you get to the next problem, which is that the data is very complex, and there's a lot of subject matter expertise that you need to have to understand it. And so in order to make this useful to a benefits person who's maybe not a deep, deep expert on medical, clinical knowledge or pharmaceuticals or certain programs, you need to simplify it so they can get to the trends. We can’t expect them to look at raw claims data and make anything of it. There’s a tooling challenge in getting the data and really making sense of it.

How can benefits managers bridge that knowledge gap?

Make sure that people get the healthcare and the benefits that they need. We saw [in the survey] that if they had more confidence in the moves that they were making, perhaps with data, they could get more things that are relevant to their employees into their hands faster, but it's just not the case today. So something needs to be addressed.

Get a data platform. I think some of the players that have been around for awhile, they do a fantastic job at data management and all those other things. I would look at something like Artemis or one of the newer companies, just to get a jumpstart on data-driven decisions on what's important and what's working and what's not. A lot of these companies work with advisers like consultants or brokers and many of them have inner resources internally. There are people who know the data really well who can really help you get more value out of that. So I would encourage them to make sure that they're asking specifically about getting data support from some of those advisers.

What does the future look like when it comes to utilizing technology and data in the benefit space?

If you look at other departments like marketing or finance or sales, they're all using data as a matter of course. It's a fabric that they weave the rest of what they do. The future of data here is making it easy for benefit leaders to understand all of those things and how to do those things and do them every day. When you're deciding what your major strategic initiatives should be for the year, being able to have that on tap in the data and actually being able to rely on that, and once you roll out a program or make a benefit change, measuring the impact of that.

SOURCE: Place, A. (12 December 2019) "Employers should ‘double down’ on tech and benefits data analytics. Most still aren’t" (Web Blog Post). Retrieved from https://www.employeebenefitadviser.com/news/employers-should-double-down-on-tech-and-benefits-data-analytics-most-still-arent


Reality check: The learning pro's primer on AR, VR tech

Virtual reality (VR) has created an opportunity to live in a realistic moment while also in a safe and controlled environment. Employers are now using this tool to train employees in a fun and authentic way. Read this blog post to learn how and what virtual reality is doing for employees.


Virtual reality and related technologies are gaining momentum in the employee learning field. Trainers love these tools for their ability to create an authentic learning experience in a safe, controlled environment and employees say they're on board, too.

But what exactly are these technologies? What do they do and how can you make use of them in your workplace? For many, understanding the tech is the first step toward implementation.

Alphabet soup

All together, these tools fall under the umbrella of XR — extended reality — according to Jack Makhlouf, Talespin's VP of sales and licensing, enterprise learning.

Within XR is VR and AR, virtual reality and augmented reality. To add to the confusion, AR is sometimes called MR, or mixed reality, Makhlouf told HR Dive in an email. Essentially, VR is a simulated experience that transports the user to a virtual environment that can be similar to or completely different from a real-world scenario. AR is an interactive experience where the objects that reside in the real world are enhanced by computer-generated information.

IRL application

VR and AR have many real-world applications, according to Ravin Jesuthasan, managing director, talent management at Willis Towers Watson. "VR and AR have gotten increasingly popular for training people on scenarios that don't occur often (e.g., a store manager being taught how to deal with an armed customer) and for training people on things that require significant practice (operating a complex piece of machinery)," he told HR Dive via email.

As a result, they're fast becoming a safety training must-have, especially for distributed workforces. These tools can be used to familiarize workers with a risky procedure or process before they attempt it in real life, Concept3D's CEO Gordon Boyes wrote to HR Dive. For location training, staff can learn safety procedures or the locations of exits, eyewash stations or fire extinguishers. "We use AR or mixed reality for remote locations," Boyes said, "and can overlay relevant data or information in its correct location without having someone needing to go to the remote site."

VR training scenarios also are particularly useful for practicing workplace conversations, Makhlouf noted. Workers can test run negotiations or customer interactions. "People generally don't get enough real-time practice engaging in difficult conversations so it takes much longer to build competency," he said; these tools can allow trainees to practice scenarios where soft skills are critical before being thrown into real-life situations.

Moreover, trainees are free to fail, get feedback, retry and improve with little judgment or consequence, Makhlouf said: "They are free to stretch their skills and gain a higher level of learning — that is the real power of this technology."

The ROI

While costly, Jesuthasan said, VR and AR have major benefits. For one, the speed of training on highly complex topics is unprecedented.

Additionally, the tech boosts knowledge retention because people are visual learners, Boyes said. "An employee's ability to learn and retain information is greatly enhanced with the addition of immersive media." The self-directed nature of the training can result in a cost savings, too, Boyes added.

XR training programs tend to be scalable as well, Makhlouf said, which can make it more cost-efficient. But ultimately, employees seem to like them, and that's perhaps the best return on investment an employer could hope for. After all, if you can't get employees to complete training, there's no ROI at all. "[W]e believe training should effective, cost-efficient, and measurable," Markhlouf said, "but most of all, fun.”

SOURCE: O'Donnell, R. (17 December 2019) "Reality check: The learning pro's primer on AR, VR tech" (Web Blog Post). Retrieved from https://www.hrdive.com/news/reality-check-the-learning-pros-primer-on-ar-vr-tech/568730/