Make External Data Normal in Strategic Workforce Planning

Published on Dec 1, 2025

Written by Cole Napper & Hannah Grieser

Workforce planning is hard, and it is even harder when it feels like the outside world is shifting the ground beneath our feet like it feels right now. But why is it so difficult? One reason, among many others, is that organizations are fighting with one hand tied behind their back.

Businesses make decisions in days and weeks, while workforce planning takes months or years. This means businesses sometimes do without the data most necessary to make the right decisions for their business. Overhiring in the early 2020s? Bad data. Layoffs now as a consequence? We’re clearly missing the mark.

Add in external factors—tariffs, geopolitics, labor costs, inflation, etc.—and the difficulties multiply. Our leaders need workforce planning data for tomorrow, and they need it yesterday, to take action today. But can workforce planning be done with the same old data from the same old sources?

Why Do Strategic Workforce Planning At All? 

Workforce planning and workforce intelligence, as we define them at Lightcast, are the disciplines of collecting, integrating, and interpreting labor market and organizational data to inform better decisions about how work gets done, who does it, and where it happens. It’s the ability to see both the internal and external talent landscape in one view—tracking skills, roles, costs, productivity, and competitive dynamics—to anticipate change and act decisively. As I wrote in my new book People Analytics: Using Data-Driven HR and Gen AI as a Business Asset, this goes beyond dashboards or headcount reports; it’s about creating a strategic workforce intelligence capability for organizational decision making. Capital outlay should have a corresponding workforce outlay.

There are multiple kinds of workforce planning:

  1. Strategic workforce planning (SWP): Focused on long-term planning, typically looking 3–5 years ahead to align workforce strategy with business objectives.

  2. Operational workforce planning: Near-term planning, usually covering a 90- to 180-day horizon, often used for high-volume hiring environments.

  3. Headcount Planning: The most tactical form of workforce planning, focused primarily on how many people need to be hired within the next fiscal year.

Strategic workforce planning, as it is commonly defined, ensures that your organization has the right people with the right skills in the right places at the right time to meet its long-term business goals. To do this well, you need to analyze a wide range of data, both from inside and outside your company. The true potential of workforce intelligence lies in its predictive and prescriptive power. Organizations need to understand both themselves, their competitors, and the entire talent landscape. That means knowing not just how many employees you have, but which capabilities matter most, where those capabilities are located, how they are changing, and what investments are producing measurable returns. Yet, most organizations underestimate how much untapped value remains in this data. They really have no idea the volume, depth, and insight that can be gleaned at scale using workforce intelligence. 

Workforce planning is not new, however. In fact, it predates the digital era, rooted in the basic managerial need to align workforce supply and demand. But in today’s environment, that deceptively simple formula is complicated by globalization, demographic shifts, skill disruptions, and automation. Organizations must now think in terms of multiple talent strategies: Whether to build skills internally, borrow them through contractors or partnerships, buy them on the open labor market, or increasingly, deploy a botan AI agent or automated solution—as part of the workforce. But why is this moment different from any prior moment for workforce planning relevance?

The Ground is Shifting Beneath Our Feet

The concept of "Fault Lines" in the global labor market is essential for effective workforce planning, as it describes the deep, seismic fissures caused by powerful, disruptive forces. Every industry, every geography, and every HR leader is feeling the tremors caused by these fault lines in the labor market, making it critical to anticipate their impact. Workforce planning without this external intelligence is like flying blind, leaving an organization vulnerable to sudden shocks that can jeopardize its talent strategy and business goals.

These critical fault lines include:

  • Geopolitical uncertainty: Geopolitical instability can disrupt supply chains, alter market access, and change the availability of talent across different regions. This requires organizations to plan for contingencies, such as shifting operations or talent pools, to maintain business continuity.

  • Labor shortages: A scarcity of qualified talent, particularly in highly-skilled roles, is a persistent challenge. This forces companies to rethink traditional recruitment strategies and focus on internal development, upskilling, and retention to meet demand.

  • AI-driven disruption: The rapid adoption of artificial intelligence is fundamentally changing the nature of work. It is not only automating tasks but also creating entirely new roles and skill requirements, necessitating a proactive approach to reskilling and talent forecasting.

One demonstration of how highly insightful workforce intelligence data can be at diagnosing and understanding new market trends through organizational intelligence—especially in an era defined by geopolitics, AI disruption, and labor shortages— are organizations that are making investments in merging internal and external data about themselves. The organizations using this data proactively are positioned not just to survive uncertainty, but to use it as a growth catalyst.

External Data-Informed Workforce Planning 

At its core, strategic workforce planning balances supply and demand, both internal and external. Internally, that means understanding your own workforce supply—skills, headcount, demographics, and performance—and comparing it against your organization’s demand for future capabilities. But if you stop there, you are only working with half the equation. Looking at the cartesian plane above, where one axis represents internal versus external data, and the other represents supply versus demand. Most organizations operate in just one, maybe two, quadrants of that plane, making decisions in the dark. True workforce planning requires visibility into all four quadrants. Without it, you’re essentially drawing a map with only half the coordinates and pretending it represents the full landscape. The map is not the territory.

The missing half for most organizations is external workforce intelligence. This includes labor market data on the availability of skills across regions, wage inflation, emerging job roles, competitor hiring patterns, and geographic supply-demand imbalances. Without this data, organizations are exposed to disruption from all three “Fault Lines”, and leaders cannot see where their future workforce will actually come from, what those workers will cost, or how competitive the market will be for them. Decisions about whether to open a new hub, shift work to a lower-cost market, automate a function, or invest in reskilling become guesswork rather than strategy. You might know you need more AI scientists or cybersecurity professionals internally, but without knowing how scarce they are externally, where they cluster geographically, and what other employers are doing to attract them, you’re not planning, you’re hoping.

Most workforce planning tools today only show internal signals: Headcount trends, attrition rates, and internal skills inventories. That data is valuable and essential, but it leaves HR and business leaders blind to the broader forces shaping talent competition. It’s like trying to balance your household budget without knowing the cost of goods or the interest rate for buying a home or car. External workforce intelligence solves this by combining the two perspectives. Internal supply and demand shows what you need and what you have; external supply and demand shows what is possible and what it will cost. But what type of external data do you need?

What External Data Do You Need?

Labor market data is the foundation of workforce planning, internally and externally, and is where to begin. It captures the supply of talent in your industry and locations and matches it against the demand for specific skills. It also highlights demographic trends, such as an aging workforce or the growing prevalence of gig work, AI workforce disruption, or how geopolitical uncertainty affects business operations.

  • Supply and Demand: The availability of talent in your industry and geographic locations, and the demand for specific skills.

  • Demographics: Broader demographic trends in the general population and labor force (e.g., an aging workforce, the rise of gig workers).

Next, competitive and industry data reveals how your organization stacks up against peers. This includes understanding what skills competitors are hiring for, whether they are expanding into new markets, and how their compensation and benefits compare with yours. Employer brand also plays a significant role: How potential hires perceive your company on platforms like Glassdoor or LinkedIn directly impacts recruiting outcomes. And industry-wide trends—such as new technologies, market growth, or evolving business models—provide the strategic backdrop against which all workforce planning decisions are made. Competitor and market intelligence is often underestimated but indispensable. Companies that focus solely on internal metrics fail to anchor their workforce strategies in market reality. Without knowing what skills are in demand across the industry, or what competitors are paying to secure them, hiring plans quickly become unrealistic. 

  • Competitor Benchmarking: Analysis of what your competitors are doing.

  • Hiring Trends: What skills are they hiring for? Are they expanding into new locations?

  • Compensation and Benefits: How your pay and benefits compare to others in your industry.

  • Employer Brand/Reputation: How is your brand perceived by potential hires (e.g., on platforms like Glassdoor)?

  • Industry Trends: Information about market growth, new technologies, and shifts in business models.

Economic and social data further broadens the lens. Factors like economic growth, inflation, or interest rates shape the labor market just as much as they shape business strategy. Meanwhile, regulatory changes—ranging from immigration policies to new labor laws—can shift workforce supply or costs overnight. At the same time, sociocultural trends such as the rise of remote work, evolving expectations around flexibility, and changing employee value propositions offered by your organization and others. Leaders who ignore these signals risk being caught flat-footed by shifts in employee behavior that were entirely predictable from external data.

  • Economic Trends: Overall economic growth, inflation, unemployment, interest rates, and other macroeconomic factors that could affect your business and labor market.

  • Legal and Regulatory Changes: New labor laws, immigration policies, or regulations that could impact your workforce.

  • Sociocultural Shifts: Trends in remote/hybrid work, gig work, and employee value proposition shifts.

Lastly, external data enables scenario planning: What happens if we enter a new market? How will automation reshape staffing needs? Which employee demographics are leaving, and can internal and external talent pools meet future demands? These questions require more than descriptive reporting; they demand predictive insight that blends internal and external intelligence.

  • What happens if we enter a new market?

  • What is the impact of automation on our staffing needs?

  • How can we use internal talent pools to meet future needs?

Once you have these sources of data, you can begin to tell a complete story of the labor force. And company analytics can help.

Company Analytics: See How Your Talent Moves

Lightcast recently introduced Company Analytics, which is now generally available across Talent Analyst, Analyst, and Developer.

Built as the next evolution of the Company Talent Profile report, Company Analytics marks a significant step forward - expanding from US coverage to now include UK, Canada, and global datasets. Company Analytics unlock practical use cases that have historically required months of analysis or bespoke consulting projects. For competitor insights, this report instantly shows how rival organizations are hiring, where they are expanding, and what skills they are prioritizing—giving you a real-time playbook for competitive positioning. In strategic workforce planning, Company Analytics connects your internal workforce signals with external labor market dynamics, enabling you to model future scenarios with confidence. 

Key additions include:

  • New company indicators, such as median tenure and turnover rate, provide sharper insight into workforce stability.

  • Expanded “Gain & Drain” analysis, with flexible timeframes and regional filters, reveals how employees move between organizations in near real time.

This is another step forward in Lightcast’s mission to connect global data and local insight—helping every user see their talent landscape with more precision and clarity than ever before. Get the data you need via Software, APIs and Data Shares, or Professional Services. Whatever works best for your organization.

Call to Action

Workforce intelligence is not a trend, and external data is here to stay. By combining external labor market data with curated, ready-to-use Company Analytics, Lightcast is changing how organizations approach talent decisions. Whether you are mapping out long-term workforce strategies, navigating a competitive talent market, or sourcing candidates globally, Lightcast puts the full power of external data into your hands—instantly, accurately, and in context. Stop collecting more dashboards, and start modeling the future of your workforce with Lightcast. 

Learn more about Company Analytics, here.