Category Archives: HR Analytics

Human Capital Trends To Think About

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Deloitte’s Human Capital Trends 2016 Report, The new organization: different by design, is definitely worth a read. It’s long – 124 pages – but it will make you smart. Download it and start browsing.

I won’t say much about the content – you need to read it all – except to show you the 10 trends identified as worth our consideration this year. The trends are:

  1. Organization design/The rise of teams

  2. Leadership awakened/Generations, teams, science

  3. Shape culture/Drive strategy

  4. Engagement/Always on

  5. Learning/Employees take charge

  6. Design thinking/Crafting the employee experience

  7. HR/Growing momentum toward a new mandate

  8. People analytics/Gaining speed

  9. Digital HR/Revolution not evolution

  10. The gig economy/Distraction or disruption?

This is a meaty, insightful discussion of the trends facing organizations, leaders, culture and people. Even if you don’t agree with the conclusions, you need to be educated and thoughtful about these ten trends. Take a look:

Deloitte HCM Trends 2016

Down the report here. Now. It’s that important.

 

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Filed under China Gorman, Data Point Tuesday, Deloitte, Global Human Capital, HR Analytics, HR Data, HR Trends, Human Capital, Human Resources, Josh Bersin

Racing For Talent

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Sometimes research results are organized in complex and hard to consume ways. We’ve all seen those reports, academic treatises and white papers. And then, all too rarely, there are research results that are organized and easily consumable. Here’s one of the good ones: Randstad Sourceright’s 2016 Talent Trends Report. Not only is the information easily accessed, it has a catchy organizing principle: Formula One racing. I know, it seems a bit of a stretch, but it actually works quite well – and Randstad has been the official partner of the Williams Martini Racing Team since 2006. So there’s that.

The report organizes Randstad’s findings into 5 themes, and each theme has a number of trends that their research has identified. Each trend takes a page, and at the end of each theme there is theme/survey summary. The graphics are good and easily understood, and data are compelling. Truly, there’s a nugget (or 3 or 8) for everyone who touches talent.

The 5 themes are:

  1. Navigating a dynamic course
  2. Relying on an agile team
  3. A holistic approach powers talent capabilities
  4. Execute winning tactics
  5. Firing on all cylinders accelerates talent strategy

So those all fit into the racing formula, but it’s the trends that are really compelling. The trends identified within the first and last themes were the most interesting to me:

  1. Navigating a dynamic course
  • Talent is king
  • The impact of regulations on gig workers
  • Talent scarcity threatens business
  • Prepare for a demographic time bomb
  • Reverse brain drain accelerates
  • Employers look to global mobility for talent

We know about all of these trends – or, at least we should. And each trend is supported by data, real world examples and tips for aligning your business and HR practices to support your success. Very useful.

The fifth theme breaks down in the following way:

  1. Firing on all cylinders accelerates talent strategy
  • The evolution of total talent analytics
  • Technology redefines the meaning of remote working
  • Gamification goes mainstream
  • HR accelerates the Internet of Things
  • HR technology integration remains the holy grail
  • Workforce automation heats up
  • Sourcing methodologies and human intelligence become more intertwined

The graph below, in the Theme 1 Summary, is a sample of the kinds of survey responses Randstad collected. And, if you need a wakeup call about the impact of talent scarcity, here it is:

Randstad Talent

Look at the adverse consequences of not having access to the talent you need: threatened leadership continuity and succession, disrupted existing businesses, limited business growth, and delayed product/services launches. These are enormous impacts to the bottom line and future of your organization. If you ever needed data to support greater investment in talent acquistion resources, this would be it.

And in the Theme 5 Summary, this graph looks at which HR technologies are actually enhancing the attraction of quality talent:

Randstad Talent 2

Have you checked out recruitment marketing platforms? How robust are your talent analytics dashboards? Do you provide candidates self-service tools? These are all working for employers around the world in helping to effectively combat talent scarcity.

This is a data-rich, insight-rich report. It’s beautifully organized, the insights are easily consumed, and the data are depicted in simple and engaging visuals. I like this report. A lot. And I suspect I will revisit it more than once.

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Filed under China Gorman, Data Point Tuesday, HR Analytics, HR Data, Randstad Sourceright, Recruiting, Talent Acquisition, Talent Management

Do You Know What Your Candidates Are Thinking? (And I don’t mean Bernie and Donald!)

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It’s here! The 2015 Talent Board North American Candidate Experience Research Report was published a couple of weeks ago. And if you have any interest at all in the relationship between the experience your employment candidates in the application process and your ability to actually hire the right talent, this report is a gold mine! Written by Madeline Laureno and Kevin W. Grossman, it’s a great read and full of useful data points.

As far as research reports go, it’s well laid out, the graphics are strong, and the data are Cand Exp 2015 3incredibly useful. The table of contents breaks out the data into 3 overarching categories:

  • Attract
  • Recruit
  • Hire

And then within each of those three categories, each has the following sections:

  • What Candidates Want
  • What Employers Are Doing
  • A Candidate Experience Case Study
  • Key Recommendations: What CandE Awards Winners Do Better

This is a very useful structure that makes the research actionable. Case studies from CandE Awards winners include Capital One, AT&T, Cumming, Hydro Québec, Comcast, and Sonos. Each of them is full of detail about what they actually do. These are among the most useful case studies I’ve seen in a long time.

The top 10 key takeaways from the 2015 North American CandE Research Report are:

  1. Most employers are not making a first impression with candidates.

  2. Candidates are becoming more sophisticated.

  3. Job boards are not dead.

  4. Mobile apply is still lagging.

  5. Communication with candidates is very weak.

  6. Employers do not offer enough opportunities for candidates to showcase skills, knowledge and experience.

  7. Employers are letting more candidates through the funnel.

  8. Employers are making interviewing more efficient.

  9. Employers are automating the onboarding stages.

  10. Onboarding is still a missed opportunity for the candidate experience.

Here’s a great example of the ease of getting to the useful data from the Attract/What Employers Are Doing section. It opens with this observation, “Employers often have little insight into what the candidates want and what they find valuable.” And follow it up with this chart:

Cand Exp 2015 2

This is pretty interesting and helpful information for organizations who are ready to step up to the challenge of being better and more effective talent attractors. There are a number of these kinds of aha! data points in the report that will not only get you thinking. They’ll get you acting.

The Talent Board is the brain child of Elaine Orler, Ed Newman and, of course, Gerry Crispin. With these three big brains behind the action, it’s no wonder this is such valuable information. I encourage you to download the report here. I’m guessing you’ll make more than one change to your talent acquisition processes as a result.

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Filed under Big Data and HR, CandE Awards, Candidate Experience, China Gorman, Data Point Tuesday, Ed Newman, Elaine Orler, Employee Referrals, Gerry Crispin, HR Analytics, HR Data, Human Resources, The Talent Board, Uncategorized

Quality of Hire: A Vaguely Valid Metric?

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In November I wrote about Linkedin’s 2016 Global Recruiting Trends Report (you can re-read it here) and took them to task about their methodology. Turns out they did a bit of a miscalculation and corrected data that looked askew. Good on them. As I looked at a relatively new infographic about their survey data, I was again intrigued by some of their findings. In a good way.

The infographic, found in Linkedin’s Talent Blog, 4 Recruiting Trends to Watch in 2016, boils the report down to 4 key points – and they are good ones:

  • Quality of Hire is the magic metric
  • Employers are finding quality hires faster through professional networks
  • Employer branding is bouncing back as a top priority
  • Employee retention is growing as a top employer priority

The big question raised in my mind by this infographic is: how should we define quality of hire. Linkedin helps us understand that perhaps we should be talking about this a little more than we are.

Linkedin 2016 Quality of Hire

Linkedin’s data show that around the world, the KPIs that define quality of hire shift between three primary metrics:

  1. New Hire Performance Evaluation
  2. Turnover/Retention
  3. Hiring Manager Satisfaction

These are interesting and good metrics. But are they the correct metrics to use in judging wether a hire was a quality hire?

As more employers shun “labeling” performance and leave traditional performance management systems and their inherent biases in the dust, having fair, accurate and reliable performance evaluation metrics may be harder and harder to obtain – especially for employees new to their jobs.

Turnover and retention data are somewhat valuable in that they measure whether the new employee actually commits to their job and the organization and decide to stay. The challenge with this particular measure is that it is two-sided. Employees can quit their jobs if they don’t like their employee experience more easily than employers can fire new employees who don’t perform. It’s hard to make a case that turnover or retention are valid measures of quality of hire.

And hiring manager satisfaction, while maybe the most influential measure, is the least scientifically valid assessment of the three: every manager has their own performance benchmarks that are shaped by their experience, education and time in the job. Certainly a new employee’s ability to create a positive relationship with their boss is significantly influential in creating a positive impression from a performance evaluation perspective. And that makes it only vaguely valid.

It’s interesting that employers in different parts of the world have developed different steps to develop Linkedin’s “magic metric.” That there is not the emergence of a common standard (SHRM or CIPD anyone? Bueller?) creates opportunities for stakeholders to get confused about what is trying to be accomplished. And that just makes it harder to make a business case for a critical aspect of talent management.

I think Linkedin has pointed out an opportunity for significant value in the talent management game:  unless and until we can develop a relatively standard, valid set of KPIs for Quality of Hire, we can’t really make sense of whether or not we’re hiring the great talent we all need. And since having the right talent available to us when and where we need it will make the difference in whether our businesses survive or not, getting a handle on the magic metric just might be helpful.

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Filed under Analytics, Annual Performance Reviews, Big Data and HR, China Gorman, Data Point Tuesday, Global HR, HR Analytics, Linkedin, Performance Management, Quality of Hire

What Do You Know About the Hourly Workforce?

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Here’s an eye opener:

“As of 2014, hourly workers make up 56.7 percent of the United States workforce. Think about that for a moment. More than half of all people working the U.S. make an hourly wage. That’s 77.2 million workers aged 16 and up. Yet there is little data to be found about the hourly worker. The U.S. Census publishes a total number of hourly workers and breaks that number down by very broad age characteristics, full-time vs. private sector and race. But that’s all. The segment is so ignored that even the monthly unemployment report doesn’t categorize the workforce by salary vs hourly. The U.S. Department of Labor recognizes them only in an annual report on minimum wage workers. To understand the majority of laborers in the United States, we are left to guess.”

redeapp is changing this through the commission of a series surveys and reports from Edison Research. The first, Profile of The Hourly Worker: Demographics, Devices and Disconnection, crossed my desk right before the end of 2015. And it’s pretty interesting.

Redeapp provides private and secure communications platforms that connect companies with their hourly, front-line employees and those without company email access. So they have a vested interest in having a deep understanding of this segment of the workforce. What they’ve found, in some cases, seems counter-intuitive. Like this, for example:

Profile of Hourly Worker 1.png

If the data are to be believed, more than 30% of the U.S.’s hourly workforce has 1-3 years of college or more – with fully 24% having some graduate credits or an advanced degree! I would not have expected that 49% of our hourly worker population would have a 4-year college degree – or a high school degree and some college credits.

Another surprise: email is used by this segment of the workforce multiple times each day in their general work responsibilities. But here’s the rub: only 50% of this segment have an email address provided by their employer. And 42% report that they use their personal email account for work communication either sometimes or often. How many liabilities and risks can we count here?

Given that scenario, this chart becomes very interesting:

Profile of Hourly Worker 2

The risk and control issues that exist in an un-secured corporate communication environment are quite large. Clearly, understanding hourly workers and how to communicate with them is a priority for organizations that employ this segment of the workforce. And perhaps, this segment of the workforce isn’t quite what you pictured.

Take a look at this survey report. It’ll make you think about your communication strategies. In a good way.

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Filed under Big Data and HR, Bureau of Labor Statistics, China Gorman, Corporate Risk Management, Data Point Tuesday, Employee Demographics, Employee Loyalty, Hourly Workers, HR Analytics, HR Data, redeapp, Strategic Workforce Planning, Uncategorized, Workforce Management

Working in the “Gig Economy”

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Last week I introduced you to Mary Meeker’s Internet Trends 2015 report which I suggested should be required reading for HR. This report, which really should have been titled, The Internet in 2015 Is All About HR, shared important data points and analysis relating to basic HR functions and the impact the internet is having on basic organization functions.

This week, I’d like to point out the McKinsey Global Institute’s new report, A Labor Market That Works: Connecting Talent With Opportunity in the Digital Age. Even if you only the read the Executive Summary, this is worth your time. It’s full of employment-related data from the major global economies as it links those statistics to the growing impact of online talent platforms – and their potential, in the gig economy, to transform both the employer/employee relationship and how workers find work and build economic opportunity. It’s important information and their analysis of (mostly) Linkedin data are arresting.

The report is organized into three broad topics: Better, fast matching; Economic impact; and Talent management for companies. All three topics could sustain a full report on their own, but I’ll focus on the second: Economic impact. The gig economy powered by online talent platforms, by their analysis, will be contributing $2.7 trillion to global GDP by 2025. They do the math by analyzing three channels of impact:

  • Increasing labor force participation and hours worked among part-time employees
  • Reducing unemployment
  • Raising labor productivity

McKinsey Exhibit 13 June 9 2015

This adds 72 million workers to the global workforce and adds a full 2% to the projected world GDP for 2025. The largest impact, $1.3 trillion, come from great labor participation and more hours worked. Shortening job searches and creating matches that would not have been otherwise will lower unemployment rates, creating the second biggest impact at $805 billion. The third biggest impact is the increase of productivity through higher quality job matches and a shift to formal employment from informal grows global GDP by $625 billion.

But their analysis also shows that the positive impact of the gig economy is greater than dollars as 540 million people (nearly 70% more than the current population of the United States) will benefit from these new ways of connecting workers to work. That’s big, right? And that’s only 10 years from now.

McKinsey Exhibit 14 June 9 2015

As an HR leader, are you concerned about the talent pipeline? Having trouble filling your current open positions? Wondering if the use of internet based solutions will produce better results? The real question may be, “how fast can I start implementing online talent platform solutions in order to connect workers to the work we have available?”

The report continues to make the economic case for the positive impact of internet enabled platforms by predicting their use could reduce public spending on labor market programs, allocating as much as $89 billion/year from unemployment benefits savings to education and vocational training programs to ensure a skilled talent pipeline. McKinsey also predicts that online talent platforms may increase innovation, strengthen productivity and generally “improve the development of human capital across economies.”

This is Big Data at its best: boiled down to useful constructs. The full report is 100 pages. I recommend that you download it and take it section by section. I think you’ll be glad you did.

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Filed under Analytics, Big Data and HR, China Gorman, Data Point Tuesday, Gig Economy, HR Analytics, HR Data, McKinsey, Online Talent Platforms

Improve Corporate Performance: Invest in Leadership/Talent Development

data point tuesday_500The relationship between talent and financial performance has been an “intuitive” given to enlightened leaders for a long time.

“Top executives intuitively understand that they cannot win without the right people and the right skills.”

Thanks to recent work by Boston Consulting Group (BCG) it’s no longer intuitive. The data are in and they are convincing. BCG fielded its Global Leadership and Talent Index survey of 1,263 CEOs and HR directors of global companies in 85 countries. The results are compelling to say the least.

The high level findings include:

  • Leadership and talent management capabilities have a surprisingly strong correlation with financial performance. “Talent Magnets” – those companies that rated themselves strongest on 20 leadership and talent management capabilities – increased their revenues 2.2 times as fast and their profits 1.5 times afast than “talent laggards,” or those companies that rated themselves the weakest.
  • The performance spread on leadership and talent management capabilities was wide. The talent magnets had an average capability score of 2.5 (on a scale of -3 to 3), while the talent laggards had an average score of -2.2.
  • Companies – even talent laggards – that move up just one level will experience a distinct, measurable, and meaningful business performance return.

With organizations spending an estimated $40 Billion (yes, Billion!) worldwide on leadership and talent development, these findings may enable leaders all over the world to re-orient their priorities, investmemts and behavior on talent/leadership development and gain the critical involvement and support with all the members of the C-suite.

Through their research BCG divided leadership/talent management capabilities into six categories:

  • Strategy
  • Leadership and talent model
  • Talent sourcing
  • People development
  • Engagement
  • Culture

And it’s interesting to note their definitions require a great deal of accountability from leaders. This is a differentiated approach and one that should spur some thoughtful analysis by HR leaders. The chart below lays out the performance differences between the lowest organization performers – Talent Laggards and the highest organization performers – Talent Magnets and the average performers in between.

BCG May 5 2015 3Interesting, yes? What’s even more interesting, then, are the data connecting these leadership/talent management performance levels with business outcomes. Take a look:

BCG May 5 2015 2In addition to proving the real correlation between leadership/talent management performance and financial performance, a valuable take away from this data is BCG’s conclusion that

“The companies that excel at leadership and talent management have figured out how to involve their leaders, not just the HR team, meaningfully and regularly in people development. “

The one-two punch of investment in leadership/talent development and significant accountability of senior leaders should help HR leaders around the world create successful business cases for moving leadership/talent development investments forward. Let’s get ready to rumble…

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Filed under Boston Consulting Group, China Gorman, Data Point Tuesday, HR Analytics, HR Data, Leadership Development, Talent development