Workforce Planning & Demand Forecasting in Operations

A strong workforce plan isn’t built on guesswork—it’s built on structure. In this lecture, you’ll learn how organizations move from reactive staffing to forward-looking strategy using proven workforce planning models. Whether you're planning headcount for the next quarter or aligning skills to long-term goals, these frameworks can help you lead with clarity instead of chaos.

By the end of this lecture, you’ll:

• Explore the 5-step and 7-step workforce planning frameworks used across industries to align talent with strategy.

• Understand the Human Capital Institute’s approach to agility, role prioritization, and continuous workforce alignment.

• Learn how PwC and Telstra use scenario modeling and “build, buy, borrow, bot” strategies to plan at scale.

• Discover how the U.S. OPM model integrates people planning into broader business and financial cycles.

• Walk away with practical ways to apply these models to your own team, department, or function.

Ever felt blindsided by a staffing shortage—or ended up with too many people on the clock and not enough work to go around? That’s not just a scheduling hiccup—it’s a forecasting flaw. This lecture takes you behind the scenes of demand forecasting and shows you how to spot trouble before it starts.

In this lecture, you’ll learn how to:

• Identify the most valuable data sources for anticipating workforce demand, from historical workload patterns to customer behavior trends.

• Understand the internal and external forces—like growth goals, turnover, regulation, and competitor moves—that can distort forecasts.

• Translate business goals into workforce needs with aligned, actionable planning.

• Differentiate between demand forecasting and supply analysis, and see how both contribute to effective gap analysis.

• Learn from real-world examples, including how Verizon forecasted skills demand to support its 5G rollout.

Not all forecasts are created equal—and choosing the right method can mean the difference between overstaffing and being caught short-handed. Whether you’re scaling up for growth or preparing for uncertainty, how you forecast matters.

In this lecture, you’ll explore:

• Quantitative methods like trend analysis, regression, and time-series forecasting to project future labor needs.

• Qualitative tools such as the Delphi method, scenario planning, and simulation to support forecasting in fast-changing or low-data environments.

• Hybrid models that combine machine learning with human judgment, including real-world applications from Cisco.

• Causal forecasting techniques that factor in external variables like GDP and labor market trends.

What happens when your demand forecast says “go,” but your workforce isn’t ready to deliver? That disconnect is exactly what Sales and Operations Planning (S&OP) aims to solve.

In this lecture, you’ll learn:

• What S&OP is and how it integrates demand, supply, inventory, finance—and workforce strategy.

• The key steps in a monthly S&OP cycle and how workforce data fits into each one.

• Real-world examples from companies like Whirlpool and DHL that align staffing with operational goals.

• Why operations managers play a crucial role in spotting constraints and aligning execution with headcount.

• How to avoid blind spots by embedding HR metrics into your S&OP process from the start.

Forecasting is only useful if you can turn it into action—and that means using the right tools at the right time. Whether you're tracking KPIs in Excel or leveraging AI‑powered platforms, operational clarity depends on how well your systems connect to your workforce decisions.

In this lecture, you’ll learn:

• How to choose between workforce planning platforms, analytics dashboards, and business intelligence tools.

• What internal talent marketplaces can do to fill roles quickly and improve mobility.

• Which metrics—like forecast accuracy and skills gap closure—matter most for tracking workforce performance.

• How leading companies like Capgemini and Novartis use data and dashboards to drive smarter workforce planning.

• Why IT collaboration and data governance are essential for building secure, integrated planning systems.

When roles evolve faster than your hiring can keep up, reskilling becomes a strategic necessity—not just an HR initiative. This lecture focuses on how workforce planning can help you not only meet today’s needs, but grow the talent you’ll need tomorrow.

In this lecture, you’ll learn:

• How to run a skills gap analysis using structured data and future-looking scenarios.

• Why upskilling, reskilling, and internal mobility are essential for workforce agility.

• What leading companies like Discover and H-E-B are doing to align learning with workforce needs.

• How to connect employee development to workforce forecasts, S&OP, and succession plans.

• Ways to use sentiment analysis and engagement signals to boost retention before problems escalate.

Planning your workforce is hard enough within one region—so what happens when you're operating across borders, time zones, and unpredictable disruptions? This lecture explores how to design workforce plans that hold up under global complexity and real-world uncertainty.

In this lecture, you’ll learn:

• How global companies like Telstra structure workforce planning using the “build, buy, borrow, bot” model.

• What Spotify’s “Work From Anywhere” policy teaches us about time-zone alignment and remote workforce design.

• How to integrate contingency planning using risk mapping, scenario forecasting, and flexible talent pipelines.

• The case of Care Staffing Professionals, and how they maintained 95%+ shift coverage during a healthcare crisis.

• Practical ways to pressure-test your plan and adapt when things change fast.

What does it take to hire 250,000 people in one season—on time, at scale, and under pressure? In this lecture, we unpack how Amazon combined forecasting tools, real-time modeling, and cross-functional collaboration to pull off one of the largest seasonal workforce strategies in the private sector.

In this lecture, you’ll learn:

• How Amazon adapted machine learning tools for workforce forecasting and demand modeling.

• The role of rolling forecasts, staffing curves, and localized pay strategies in dynamic planning.

• What made Amazon’s execution data-driven, scenario-ready, and cross-functionally aligned.

• Why early coordination between HR, ops, and logistics shaped hiring success.

• Key takeaways you can apply—whether your hiring goal is 100 or 100,000.

Forecasting isn’t just about precision—it’s about staying ahead of the curve. As the world of work changes rapidly, the way we plan and prepare our workforce needs to evolve just as fast.

In this forward-looking lecture, you’ll explore:

• How AI and predictive analytics are transforming real-time workforce forecasting.

• Why upskilling is becoming a non-negotiable input in long-range workforce plans.

• The impact of demographic shifts, gig work, and flexible talent pools on supply modeling.

• How remote and hybrid work models are being embedded into strategic planning.

• The rise of sustainability and ESG priorities as workforce planning drivers.

Workforce planning isn’t just a process—it’s a lens for how to lead. As business conditions change faster than ever, the ability to forecast, adapt, and collaborate across teams is what sets great operators apart.

In this final lecture, we’ll:

• Revisit the core frameworks, methods, and tools covered throughout the course.

• Summarize key takeaways around forecasting, planning cycles, and talent strategy.

• Share five practical steps to help you take action in your own team or company.

• Recommend resources for continuing your learning—tools, blogs, and organizations to follow.

• Leave you with guidance on building momentum and applying what you’ve learned.