What Are The Key Differences Between Time to Fill and Time to Hire?

Although some people use the terms interchangeably, “time to fill” and “time to hire” are distinctly different metrics that serve integral parts of the talent acquisition process. The former measures the average number of days it takes to have someone start working in a role, while the latter tracks how fast a candidate progresses through the hiring process until the offer stage, labor experts informed HR Dive. This differentiation can have significant impacts on how companies assess their recruitment efficiency and candidate experience.

Calculating Time to Fill

Rick Hermanns, CEO of global staffing company HireQuest, previously explained his method for calculating the metric known as time to fill. The process involves three essential steps:

  • Define the start and end points for measurement. Typically, the clock might start ticking when a job is posted or when HR receives a job requisition form, ending when the candidate officially begins work.
  • Calculate the duration for a single position by counting the number of workdays from the starting point to the endpoint.
  • Summate the time to fill for each position and divide by the total number of positions filled to obtain the average time to fill.

Adopting these guidelines provides a straightforward way to measure and optimize recruitment timelines.

Trends Around Time to Hire

The report by human capital management company The Josh Bersin Co. and talent firm AMS indicates that time-to-hire rates have risen in recent years, revealing it now takes an average of 44 days to fill a job opening. However, this figure can vary significantly depending on the industry. For instance, energy and defense sectors face more prolonged hiring periods, averaging 67 days for specialists.

The data underscores varying ease and difficulty levels in filling positions, which can inform strategic adjustments to recruitment processes across different sectors. Notably, the findings pointed out that overall hiring in many regions is expected to slow and face more challenges.

The Bottom Line

People often confuse “time to fill” and “time to hire,” but these metrics are quite different and both play important roles in the talent acquisition process. “Time to fill” refers to the average number of days it takes from when a job is posted until a candidate starts working. On the other hand, “time to hire” measures the speed at which someone moves through the hiring process, from the initial job application to the moment an offer is made. According to labor experts consulted by HR Dive, understanding these differences is crucial for companies. It allows organizations to better evaluate their recruitment efficiency and improve aspects of the candidate experience. By analyzing both metrics, employers can identify delays in the hiring process and make improvements to attract and secure top talent more effectively. This kind of insight can lead to more strategic decision-making in talent acquisition, ultimately benefiting both the company and potential employees.

Explore more

Hang Seng Bank Launches New Five-Pillar Wealth Strategy

In the high-altitude boardrooms overlooking Victoria Harbor, the conversation has shifted from the pursuit of immediate market gains toward the much more intricate and enduring task of crafting a multi-generational financial legacy. Hong Kong’s financial landscape is currently undergoing a silent but profound transformation, moving away from the era of quick-win transactions toward a future of legacy-building. While many institutions

Are New Budget Ryzen CPUs Worth the Upgrade?

Building a high-performance gaming rig in today’s market feels like navigating an obstacle course where every turn demands a significant withdrawal from a savings account. Performance often feels like a sprint toward a dwindling bank account, as DDR5 and new motherboard standards drive up entry costs. For many builders, the choice is finding the sweet spot where every dollar translates

Intel Nova Lake CPUs to Feature 52 Cores and Massive Cache

The global semiconductor industry is currently navigating a monumental shift in desktop processor expectations as Intel prepares to overhaul its enthusiast lineup with the Core Ultra 400-series. This generation, officially codenamed “Nova Lake-S,” represents a fundamental pivot from iterative updates to a radical redesign aimed at dominating both the high-end desktop and specialized gaming markets. With mass production scheduled for

AI Prompts Universities to Prioritize Human Formation

The relentless efficiency of silicon-based logic has finally stripped away the illusion that a university degree is primarily about the accumulation of technical data points. As of 2026, the widespread availability of sophisticated generative models has rendered the traditional role of the student—as a processor and synthesizer of information—largely obsolete. This transition is not merely a technological update but an

How Are Bad Actors Exploiting Frontier AI Systems?

Sophisticated hackers and rogue scientists are currently probing the deep neural architectures of frontier models to extract blueprints for devastation rather than progress. These actors are not searching for simple poetry or basic code; they are seeking the hidden keys to biological synthesis and global cyber warfare. As 2026 unfolds, the technology industry faces a sobering reality where the most