As entrepreneurial CEOs who fund our ventures or executives who grow into being CEOs of more mature companies, we produce annual budgets and financial plans. We estimate our future revenue and given available capital we fashion budgets we believe will deliver our revenue objectives. Hard capital and non-labor expenses are generally predictable. Workforce planning is more of an art and boils typically down to headcount planning. The amounts and types of headcount needed are often based on proforma financial modeling and estimates from primary functions such as engineering, sales, marketing, etc.
Traditional headcount planning falls short. We continue to rely on a traditional headcount model even though it’s crude and includes built in biases such as incremental benchmark planning from last year, organizational and process complexity that hides waste, and the talent of managers negotiating beyond real needs. Market forces and technology advances are increasingly exposing the weaknesses of headcount planning and staffing. For example, employees now only amount to about 65% of the workforce down from 90% twenty years ago. The remaining contingent workforce (QuartZ) is expected to exceed 40% by 2022. While HR is responsible for acquisition of employees, the contingent workforce is frequently managed directly by managers or procurement.
How do you leverage the available talent to perform the most important work? The answer is not more complex management approaches that don’t scale. Better job descriptions or skills matching won’t do it unless the work and its value is clearly understood.
Bots are coming — where do they belong? In addition to the complexity of managing and estimating the needs for people, bots are becoming an important and integral part of workforce management. Billions of dollars are being invested in AI (bot) solutions that are designed to replace some or all of the work traditionally allocated to people in jobs that include repetitive tasks that can be automated. (Deloitte). The forecast for bots as a percent of the workforce vary wildly from 10% to beyond 30% (Singularity) by 2022. A major startup, Automation Anywhere now has more than 15 million bots implemented in 700 major corporations.
As CEOs we need to wake up to this new reality. We are in a digital world where defining jobs and allocating heads will no longer yield a competitive human capital operating model. For example, does our current staffing process clearly define the optimal mix of employee, contingent, and bot labor for our 2020 “digital” workforce plan? Who and how can our team provide a clear reliable answer? If our workforce represents 50% of our total expense and our workforce includes a 10% inflated headcount – we are leaving 5% operating profit on the table. This is huge! Getting to the optimal answers will not come from doubling down on the headcount planning process. Worse, competitors who learn to optimize their digital workforce composition can use their margin advantage to improve market share, etc.
Talent related SaaS software vendors are stepping up. The good news is that SaaS solutions are evolving to make it easier to manage both employees and contingent labor. Modern HR tools such as Workday, SAP’s Success Factor, and a host of startups are offering to support contingent labor with much of the employee talent management functions such as staffing and reviews.
While an improvement, these platforms will not address optimizing the work content among employees and contingent labor nor do they include bots.
The core of digital workforce planning is the work and its value. In order to get at wasted use of talent, planning biases, and the increased complexity of available sources of talent it is essential to start with the value the workforce renders in achieving business outcomes – namely, the work. In addition to work, the second necessary information for digital workforce planning is the use of talent. For example, how much top talent work is your top talent doing? Neither the work quantified by FTE per service or use of talent is achievable with current headcount planning and management tools.
Current methods of measuring the work are not effective. We can track tasks such as monitoring locations and network devices as often done by large software development organizations. Or, we use surveys of time tracking such as activity-based planning implementations. These methods are time-consuming, prone to errors, difficult to value, and hated by workers.
Introducing a management framework SaaS solution (CollabWorks). However, technology has now evolved to allow management to focus on delivering the most valuable work with the best available talent. The first step is to capture data that clarifies what is the work, the amount of FTEs spent doing the work and by whom at what level of talent. In addition, to optimize both the work and the use of talent, a metric is needed to value both.
All work can be described as services. What we can learn from the rise of SaaS work platforms such as Upwork or Gigster demonstrate is that work can be described in the form of services instead of tasks. A service describes work delivered by a supplier to one or more customers (internal or external). While tasks may vary and come and go, services describe a supplier-customer relationship where tasks flow across the service. For example, we use software developers via Upwork who continuously perform tasks as part of services where the value of the work is established. These platforms are now being used to align service needs with both contingent and employee workers.
Customers need to drive the flow of work. Another positive reason for describing all forms of work as services is recognition that the value of work (services) depends on the customer receiving the benefit of the work. Rather than distributing the work via a typical management top down structure, work as services can be distributed based on customer needs. This keeps the
focus on value where it belongs – the customer. And this relieves line management from gathering, reporting, and communicating activities. Organizations are now able to clearly understand the services within a workforce consisting of employees, contingent workers and bots. And more importantly, for each service the organizations are able to measure the relative contribution to operating profit.
Summary. These new SaaS management frameworks (CollabWorks)will integrate with existing SaaS talent and work platforms to enable both workers and the organizations to optimize their respective needs to their mutual benefit.
About the Author
Michael Grove is the Founder and CEO of CollabWorks, a technology company that provides a powerful management framework (FrameWork™) in the form of software and professional services. His core belief is that if individuals are empowered to manage their own engagement they will thrive to the benefit of themselves and the organization. The FrameWork technology sits at the center of the Digital Workforce of humans and automation (AI). Michael’s vision is that work will evolve from jobs to a marketplace of services by 2025.
Michael currently co-hosts CEO workshops and sponsors the CollabWorks Thought Leadership Team (TLT), DisruptHR (Bay Area), and Disrupt.Work. He has been a successful CEO for over 25 years of venture and self-funded companies including Open Country, Micromodule Systems, Introplus, and the Pathway Group. Michael has produced several breakthrough patents and led businesses in aerospace, renewable energy, semiconductor, information, social networking, and workforce management. Michael holds Bachelor and advanced degrees from California Polytechnic, UCLA, USC, and Wharton.
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