HR TRANSFORMATION
HR leaders think excelling along the employee experience journey will have the most impact. |
Which innovation shifts will have the most impact?, % (n = 128) |
Excel along the employee experience journey
|
Empower the front line of business
|
Integrate design and delivery with end-to-end accountability
|
Automate HR solutions to drive eciency
|
24
20
13
10
9
9
7
7
100%
24
|
Move from process excellence to AI, big data, and machine learning
|
Offer an individualized HR “cafeteria approach
9
|
Put agile first
|
“Productize” HR services
A global financial institution underwent an agile transformation with a focus on IT delivery, supported by an agile HR operating model with 2,000 staff members. It first structured its HR function along the employee life cycle, aligning resources to the employee experience (EX) journey: when they join, work, develop, perform, and exit. The evolution to an agile model was supported by three HR innovation shifts:
— reducing the number of handovers by integrating run (servicing and operations) and change (product delivery) activities into “work streams”
— setting up work streams with end- to-end service responsibility (for example, design and delivery of recruiting), common goals, and steering
— allocating resources to agile pods with product crews for each work stream and agile ways of working
Projects that cut across multiple product crews were supported with a center- of-excellence initiative manager at the divisional level, and the stream-by- stream transition plan was phased over two years.
Leader-led
In this model, CHROs transition HR accountability to the business side, including for hiring, onboarding, and development budgets, thereby enabling line managers with HR tools and back-office support. This archetype also requires difficult choices about rigorously discontinuing HR policies that are not legally required. Too much oversight, slow response times, and a lack of business acumen in HR have led some companies to give line managers more autonomy in people decisions. Companies exploring this choice typically have a high share of white- collar workers, with a strong focus on research and development.
Machine-powered
With this model, algorithms are used to select talent, assess individual development needs, and analyze the root causes of absenteeism and attrition—leaving HR professionals free to provide employees with counsel and advice. As digitalization redefines every facet of business, including HR, CHROs are looking for ways to harness the power of deep analytics, AI, and machine learning for better decision outcomes. Organizations that are experimenting with this are primarily those employing a large population of digital natives, but HR functions at all companies are challenged to build analytics expertise and reskill their workforce.
Innovation shifts shaping HR model archetypes
While innovation shifts have shaped the traditional HR operating model and led to the emergence of new archetypes, not all innovation shifts are equal. Each archetype is typically based on one major innovation shift and supported by a few minor ones.
For example, a leader-led archetype is mainly shaped by the shift of empowering the leaders and the front line. At the same time, it gives more flexibility to the needs of the individual (the “cafeteria approach”) because leaders have more freedom; it also builds on digital support so leaders are optimally equipped to play their HR role. Alternatively, an agile archetype is strongly focused on adapting agile principles in HR, but it typically also aims to move toward a productized HR service offering and strives for end-to-end accountability.
Optimizing the employee experience
A global software company adopted a new business strategy to maximize the customer and employee experience, committing to a two-year transformation journey. Its first step was to mirror the customer experience for employees by identifying and revamping “moments that matter” along the employee life cycle. Three HR innovation shifts facilitated this: persona-driven HR services began following a customized approach; product owners took on end-to- end responsibility over HR concept, design, and delivery to deliver moments that matter; and HR, IT, and business operations combined into a comprehensive data function.
The critical decision for senior people leaders is to consciously select the most relevant of these innovation shifts to transition gradually toward their desired operating-model archetype. For example, the leader-led model puts business leaders, rather than HR, in the driver’s seat, allowing line managers to choose the right HR offerings for their individual teams. And for companies that decide to deploy machine-powered HR, the key is building and relying on deep analytics skills. This model uses integrated people data to make targeted, automated HR decisions.
Different operating models are based on different innovation shifts. | |||||
Major focus | Minor focus |
8 innovation shifts | 1 Ulrich+ | 2 Agile | 3 EX1 -driven | 4 Leader-led | 5 Machine-powered | |||||
Put agile first to allow for speed and swift resource reallocation | ||||||||||
Excel along the EX1 journey to win the race for talent | ||||||||||
Empower the front line of business to create human-centric interactions | ||||||||||
Offer an individualized HR “cafeteria approach” for personalization | ||||||||||
“Productize” HR services with the needs of the business in mind | ||||||||||
Integrate design and delivery with end-to-end accountability | ||||||||||
Move from process excellence to AI, big data, and machine learning | ||||||||||
Automate HR solutions to drive efficiency |