The CEO’s guide to competing through HR
Technological
tools provide a new opportunity for the function to reach its potential and
drive real business value.
A leading US healthcare company was struggling
recently to recruit more nurses and stem high staff turnover. Patients were
suffering, and the crisis was beginning to hit revenues.
Instead of just
continuing to “firefight,” however, the company’s human-resources department
responded by launching an in-depth analysis of the tenures in the group’s
nursing population, noting in its study some surprising correlations between
length of service, compensation, and performance
HR leaders quickly saw
the source of the problem—as well as a solution. They raised the minimum
rewards for those early in their tenure and tweaked the total rewards for those
with longer career paths, with the result being that the company retained more
early-tenure, high-performing nurses. When the company rolled out the plan more
widely, employee engagement increased and productivity jumped by around $100
million.
The story shows what
can happen when HR steps out of its traditional siloand embraces a strategic role,
explicitly using talent to drive value rather than just responding passively to
the routine needs of businesses. That’s a transformation many companies have
been striving to make in recent years as corporate leaders seek to put into
practice the mantra that their people are their biggest asset.
Some companies are
making progress. The best HR departments are creating centers of excellence
(COEs) in strategic areas such as organizational development, talent
acquisition, and talent management. They are also providing better support to
line managers via strategic HR business partners, and gaining points for
pulling up from administrative minutiae to work on the long-term health of the
business.
But there is still a
long way to go. We hear continued frustration from business and HR leaders
alike that the value of the much touted “strategic” approach remains at best
unquantified, at worst ill-defined and poorly understood. Too many HR
organizations still fail to make a hard and convincing connection between
talent decisions and value.
This article sets out
an agenda for renewed action. We believe the time is right to accelerate the
reinvention of HR as a hard-edged function capable of understanding the drivers
of strategy and deploying talent in support of it—most importantly as a result
of the availability of new technological tools that unleash the power of data analytics.
To advance the agenda,
we believe businesses need to concentrate on four things: rethinking the role
of business partner to enable a better understanding of the vital link with
strategy, using people analytics to identify the talent actions that will drive
the value, fixing HR operations so they are not a distraction from HR’s higher
mission, and focusing HR resources in more agile ways so as to support these
fresh priorities. Companies that take these steps will move toward a next
generation of HR that’s data driven, not experience driven; systematic, not ad
hoc; and consistent, not hit and miss.
Rethink the role of the business partner
The starting point is
for HR business partners—those senior HR individuals who counsel managers on
talent issues—to stop acting as generalists and show that they really own the
critical talent asset. This is a big enough change that it calls for a change
in roles: replacing the business-partner role entirely with a new talent value
leader (TVL), who would not only help business leaders connect talent decisions
to value-creating outcomes but would also be held fully accountable for the
performance of the talent.
The talent value leader
A TVL should have real
authority over hiring and firing, even if actual decision rights remain with
managers in the way actual spending decisions are taken by budget owners rather
than being dictated by the finance function. Think of the manager of a European
football team who is responsible for allocating resources using acquisition,
compensation, evaluation, development, motivation, and other levers to maximize
the players’ collective performance.
Unlike the typical HR
business partner of today, TVLs should be held to account using metrics that
capture year-to-year skills development, capability gaps, engagement, and
attrition. And to the maximum extent possible, they should be disconnected from
the day-to-day concerns of operational HR so as not to get pulled back into
dealing with employee issues—that means eliminating the HR liaison role that so
many HR business partners play today.
TVLs, however, won’t
succeed without being able to deliver analytically driven talent insights to
business managers systematically. This is a substantial change from today;
while many HR business partners are resourceful and smart advisers to managers,
few possess a data and analytical mind-set or the appropriate problem-solving
tool kit.
When adopted, the
expanded HR role we are describing starts to be taken seriously, as some
companies are beginning to discover. A leading global materials company, for
example, has been moving in this direction, specifying competencies for its HR
leaders that now include the ability to “use analytics to diagnose and
prescribe talent actions,” to “translate talent decisions into profit-and-loss
impact,” and to “measure talent outcomes and their impact on value while
holding managers accountable.” The results have been significant. After an
adjustment period, internal surveys show managers are substantially more
satisfied with the support they receive from HR. Anecdotally, we also hear that
more business leaders are scripting a role for their talent advisers during the
strategic business-planning processes.
Broader leaders for a bigger role
A key challenge, of
course, is where to find appropriate candidates to fill these bigger HR shoes.
Many business partners, after all, have grown up in traditional HR roles with
an operational-service culture. HR departments should therefore start a cohort-based,
high-potential program that balances rotations in and out of HR with dedicated
time for skill building. Companies can also reward executives from other
functions for stints in HR, and potential HR leaders should experience line and
other functional-leadership roles—in finance, for example—in order to build
better business-strategy capabilities. Eileen Naughton recently stepped in to
run people operations at Google from her role as managing director and vice
president of sales and operations in the United Kingdom and Ireland. And
Pepsico has begun to fill some HR roles with people from engineering,
technology, or process-oriented backgrounds: leaders at the soft-drink giant
say that engaging the business with data is critical to expanding the strategic
role of HR.
Put people analytics at the core
Many organizations have
already built extensive analytics capabilities, typically housed in centers of
excellence with some combination of data-science, statistical,
systems-knowledge, and coding expertise. Such COEs often provide fresh insights
into talent performance, but companies still complain that analytics teams are
simple reporting groups—and even more often that they fail to turn their
results into lasting value. What’s missing, as a majority of North American
CEOs indicated in a recent poll,1is the ability to embed data analytics into day-to-day
HR processes consistently and to use their predictive power to drive better
decision making.
In today’s typical HR
organization, most talent functions either implicitly or explicitly follow a
process map; some steps are completed by business partners or generalists,
others by HR shared services, and still others by COE specialists. Many of
these steps require a recommendation or decision by a human being—for example,
the evaluation of an employee’s performance or the designation of a successor
to a specific role.
Embedded analytics, by
contrast, either inform or replace these steps with algorithms that leverage
the data to drive fact-based insights, which are then directly linked to the
deployment steps in the process. For example, many companies now use HR
analytics to address attrition, allowing managers to predict which employees
are most likely to leave and highlighting turnover problems in a region or
country before the problem surfaces. By making the development and delivery of
insights systematic, HR will start to drive strategic talent value in a more
consistent way, rather than episodically and piecemeal as at present.
To understand more
concretely the role of people analytics in an HR organization’s journey toward a more strategic role, let’s look closely at a single process—succession
planning—and then assess the potential business impact of a broader suite of
initiatives.
Analytics in action: Succession planning
A standard approach
starts with a talent-management or organizational-development COE laying out
the process for the organization, designing the tools or templates, and
training key stakeholders in what to do. Managers might then sit down with
their HR partners and discuss potential succession candidates for key roles—ideally
taking skills, competencies, and development pathways into account (in
practice, of course, there may be a bit of “gut feel”). A traditional
best-practice process would then create individual development plans for
potential successors, based on the gap between that person and the potential
role. As vacancies occur, these potential successors may or may not be tapped,
much depending on whether the manager (or his or her HR partner) bothers to
refer back to those plans.
An analytics-driven
succession-planning process looks and feels very different. First,
machine-learning algorithms might review years of succession data so as to
understand success factors in a given role. Using that insight, the company
might then derive the top five internal candidates for that role, accompanied
by customized development plans (that is, what courses to take, what skills to
build) based on their individual competencies. Such information would support
subsequent strategic decisions, consultations between managers and strategic HR
partners, and cross-functional assessments of enterprise bench strength.
Business impact
The real prize is for
those that can use data analytics not just to improve a single process, like
recruitment or retention, but also to drive business performance—as has
happened at a leading global quick-service restaurant business. The company
mined data on employee personality traits, leadership styles, and working
patterns and introduced changes that have improved customer service and had a
tangible impact on financial performance (see “Using people analytics to drive
business performance: A case study,” forthcoming on McKinsey.com).
To achieve such impact
across the board, leaders will have to make significant investments in
analytics skills and capabilities—but the returns should be commensurate. Based
on a study of a range of industries with diverse workforces, operating models,
and financial features, the McKinsey Global Institute estimates that companies
using a portfolio of HR-analytics solutions could realize an increase of 275
basis points in profit margins, on average, by 2025. These increases will
likely come about through productivity gains among front- and middle-office
workers (which can translate into revenues or other increased-output opportunities)
and through savings in recruiting, interviewing time, training, onboarding, and
attrition costs.
Fix HR operations
The current reality of
HR, as many business partners will attest, is that of the function routinely
being pulled into operational issues and distracted from its core strategic
mission. McKinsey research, indeed, shows that typical HR departments still
spend close to 60 percent of their time and resources on transactional and
operational HR, despite decades of pushing work out to shared services; the
best-performing HR departments spend less than 40 percent of their time and
resources on these transactional activities.
As part of its
continuing transformation, HR must therefore raise service levels and improve
the employee experience, using next-generation automation tools and
standardized processes to drive higher productivity. There are three critical
operational priorities for the HR organization of the future: continuous
process improvement, next-generation automation technology, and user-experience-focused
service improvement.
Continuous process improvement
Based on our work with
companies, we see several ways to make HR operations more efficient—including
finding further things that individuals and managers can do more easily
themselves—notably by providing direct access to information or transactions
online, introducing simpler processes, and ensuring clearer decision making.
It’s also worth considering more geographically diverse sourcing of work and
talent, as a leading agricultural company did when it found deep pockets of
high-end instructional design talent in several Indian cities. These people, it
turned out, not only were less costly but proved themselves capable of
delivering equal or better service than the relatively well-compensated
instructional designers who had served the businesses previously, mostly from
the United States and Western Europe. There is always scope for smarter
sourcing of external vendors, whether through insourcing or outsourcing: one US
insurance company, for example, improved its reliability and cut the overall
cost of its payroll process in half by bringing it back in-house.
Next-generation automation technology
New automation technologies will soon reshape a number of HR processes,
building on core human-resource-management-system platforms (both on premises
and in the cloud). Robotic process automation (RPA), smart work flows,
cognitive agents, and natural-language processing, for example, will automate
HR tasks previously carried out by people. The case of a leading global automotive-component
manufacturer that was struggling with its employee-onboarding process is
instructive. Thanks to the cross-functional complexity of the work flow, with
different HR people needed to complete steps such as employee paperwork and
scheduling orientation—and with IT, facilities, and security people needed to
complete others—onboarding used to take weeks. RPA solved the problem with a
bot that can access multiple systems, follow an intelligent work flow, and
initiate communications. Onboarding time, on average, has been reduced by more
than two-thirds, many errors created by manual tasks have been eliminated, and
the journey has become more compelling for the individual.
For operational HR, the
new frontier of technology is cognitive agents, especially when paired with
natural-language processing. The former have developed to the point where in
many cases employees can’t tell that they’re interacting with a piece of
software. Natural-language processing may not yet offer seamless unstructured
voice conversations for an HR setting—but leading HR-service organizations
already leverage chat as a communication channel to answer most questions,
“learn” from past interactions, and conduct “warm” handoffs when needed. One
major international food and beverage company believes these automated
technologies can reduce its costs by 20 percent while maintaining or increasing
service levels (for instance, by enabling 24/7 immediate response).
User experience
Operational
effectiveness is a critical part of employee satisfaction with HR. But whether
it’s understanding the customer decision journey in marketing or understanding
user needs as the foundation to driving digital user experience, other areas of
the business have sought to improve customer satisfaction in ways that most HR
departments generally have not. The HR department at the Orlando International
Airport is a notable exception. It found that staff employed by about 60
organizations based at the airport, ranging from airlines and security to
retail and janitorial, faced a common set of challenges. These challenges were
both undermining the employees’ job satisfaction and affecting the quality of
services they were providing for passengers and other customers. An overhaul of
the staff experience tackled both problems. The airport revamped its
shuttle-bus schedules, reducing commuting time for workers using the employee
parking lots, which had a tangible effect on morale at the start of the day.
The airport also made it easier for employees to find their way through its
buildings and facilities. Finally, it took an entirely new approach to
onboarding employees, providing them with updated weekly information so that
everyone, regardless of their role, could help customers with queries about
directions, the availability of services, or events taking place in other parts
of the airport.
Focus HR resources in more agile ways
The changes discussed
not only require the HR organization to recruit a new cadre of TVLs and to use
people analytics to drive business value—they also demand a new type of agile
organizational structure. Applying agility to the organization of HR will be
critical to HR’s ability to deliver a harder link between talent decisions and
value.
Agile HR: A case study
It’s easiest to
understand HR agility through an example. A leading European bank implemented
an agile HR model aligned to this vision, with great results. Previously siloed
HR resources responded to opportunities or issues slowly and inefficiently,
their work dominated by transactional and operational tasks. Morale was low as
a result of a lack of role clarity and a surfeit of meetings aimed at engaging
every conceivable HR stakeholder. In response, the bank’s HR leaders
implemented an agile “flow to the work” organizational model: there are a limited number of
deep specialists and talent value leaders in a few global roles, and they are
supported by strong shared-service centers and a pool of multiskilled HR
professionals—people with capabilities to perform most HR actions and who are
responsible for much of the talent work.
The model reduced the
HR budget by 25 percent in its first year of implementation, the goal being 40
percent within three years. Just as important, the HR organization is working
with renewed purpose, implementing key talent initiatives faster and
substantially accelerating HR’s response to opportunities and issues. Now fewer
in number, the bank’s HR business partners (TVLs in all but name) and COE
leaders are devoting much more of their time to connecting talent to business
strategy.
Agility, operations, and structure
As this example
suggests, the move toward a more agile HR organizational model has both
operational and structural implications. Operationally, HR functions need to be
able to create a solid backbone of core processes that either eliminate the
clutter or camouflage the complexity to the business, all while delivering the
basics (such as payroll, benefits, recruiting, and simple employee and manager
transactions) without error or delay.
Agility, combined with
analytics, also suggests structural change, particularly for centers of
excellence. With more automation of insight generation, and especially the mass
customization and delivery of those insights through technology, HR COEs will
probably be a much smaller group in the HR organization of the future. Shorn of
transactional resources and unburdened by operational responsibilities, these
pools of talent will be able to work across disciplines (talent management,
learning and development, and organizational design), supporting the new talent
value leaders and business as a whole.
Calls for a more
assertive and strategic role for HR are not new. The idea that the CHRO
(controller of human capital) should be part of a C-suite triumvirate that
includes the CEO (principal owner of strategy) and the CFO (owner of financial
capital) has been championed by our colleague Dominic Barton, among others. But if HR leaders are to finally achieve
the promise of being strategic—the sustained delivery of talent insights and
actions that drive real business value—they will need to transform their own
function to provide a foundation. By changing the way HR interacts with the
business on strategic questions, notably through the creation of new talent
value leaders, HR can gain responsibility and accountability for driving
talent-linked value. By deploying data-driven insights and solutions in a
systematic way, HR can dramatically ramp up the level of talent insight it
delivers to the business. By driving continuous improvement in operational
performance, HR can create the space for its leading thinkers to drive
strategic talent insight and solutions. And by adopting a more agile approach
to its resources, HR can drive significant productivity and focus execution and
investments on the core initiatives each year that are proven to link to value.
By Frank Bafaro, Diana Ellsworth, and Neel
Gandhi
July 2017
http://www.mckinsey.com/business-functions/organization/our-insights/the-ceos-guide-to-competing-through-hr?cid=other-eml-alt-mip-mck-oth-1707&hlkid=5d2459abfc2646009e1d903bff400c63&hctky=1627601&hdpid=3b92b68f-e249-4004-8360-176c36f06eed
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