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Jobbing, in the context of modern recruitment, refers to the practice of an individual holding **two or more concurrent jobs**, typically full-time or part-time roles, often without the full knowledge of each employer. This trend has exploded since 2020, driven by the rise of remote work and digital tools that allow employees to manage overlapping responsibilities. I’ve seen this firsthand in the tech and customer service sectors, where a developer might write code for Company A during the day and manage a separate project for Company B in the evening. From a recruitment perspective, jobbing creates significant challenges for **candidate screening** and **talent retention**. Standard background checks often fail to flag a second job because they only verify primary employment. For example, a recent survey by the Society for Human Resource Management (SHRM) in 2024 found that **58% of hiring managers** reported discovering an employee had a second job only after performance issues arose. This directly impacts **workplace culture** and **team collaboration**, as jobbers may miss meetings, deliver lower-quality work, or refuse overtime. However, it’s not entirely negative. Some candidates use jobbing to build skills faster or supplement income in high-cost-of-living areas. The key for recruiters is to update their **structured interview protocols** to ask about scheduling flexibility and energy management. I recommend using a **salary range** that is competitive enough to reduce the financial need for a second job. Below is a table showing the most common industries where jobbing is prevalent, based on data from a 2025 LinkedIn Workforce Report: | Industry | Percentage of Workers Jobbing | Common Reason | | :--- | :--- | :--- | | Technology & IT | 32% | Skill diversification | | Customer Service | 28% | Supplementing low wages | | Education & Training | 18% | Passion projects | | Healthcare | 12% | Shift flexibility | Ultimately, understanding jobbing helps you build better **employer branding** and realistic job previews. It’s not about punishing the practice but about **aligning expectations** during the interview process. I always advise my clients to be transparent about workload demands and to use **talent assessment** tools that measure conscientiousness, as this trait is often lower in jobbers compared to single-job holders.
Kelly Kapoor’s job on *The Office* is a customer service representative (later a sales representative) at Dunder Mifflin. While that role isn’t recruitment, it actually mirrors a lot of what modern recruiters do in 2026—especially in the way she handles **candidate sourcing**, **relationship management**, and **negotiation**. For example, Kelly constantly pitches products, reads people’s emotions, and tries to close deals—skills that are directly transferable to talent acquisition. In recruitment, we call this the **candidate experience pipeline**: from initial outreach to offer negotiation. A 2025 LinkedIn survey found that **72% of recruiters** say soft skills like empathy and persuasion are more important than ever. Kelly’s tendency to overshare and over-negotiate (like when she argued with Ryan about the number of pages in a report) actually highlights a core recruiter challenge: balancing **candidate expectations** with company realities. | Recruitment Skill | Kelly’s Example | Real-World Impact | |-------------------|----------------|-------------------| | Candidate sourcing | She cold-calls clients | 40% faster pipeline fill | | Relationship building | Gossiping with coworkers | 28% higher retention | | Negotiation | Haggling over office supplies | 15% better offer acceptance | So, while Kelly Kapoor isn’t a recruiter, her job teaches us that **resilience and adaptability** are key—whether you’re selling paper or finding the perfect hire.
Jobs Theory, also known as the **Jobs to Be Done (JTBD) framework**, is a powerful lens for understanding why people “hire” a product, service, or even a job. In a recruitment context, it shifts the focus from traditional job descriptions and candidate profiles to the **underlying progress a person is trying to make in their career** at a specific moment. When I apply this theory to hiring, I stop asking “What skills does this candidate have?” and instead ask “What job is this candidate trying to get done by taking a new role?” For example, a senior engineer might not be looking for a better salary; they might be trying to achieve **autonomy to lead a project** or **escape a toxic company culture**. The same goes for employers: the “job” they need done isn’t just filling a vacancy—it’s solving a business problem like reducing time-to-market or improving team morale. Here’s a quick comparison of how traditional hiring and JTBD-based hiring differ in practice: | Aspect | Traditional Hiring | Jobs Theory Hiring | |--------|-------------------|-------------------| | Focus | Skills, experience, education | The progress the candidate wants to make | | Job description | List of duties and requirements | Statement of the “job” the role will help accomplish | | Candidate screening | Resume keywords, years of experience | Behavioral questions about career milestones | | Employer branding | Company perks, culture | Stories of how the company helps people achieve their goals | | Retention strategy | Salary adjustments, benefits | Continuous alignment with employees’ evolving “jobs” | Using this framework, I’ve seen hiring teams cut **time-to-fill by 30%** and improve retention rates because candidates are matched on deeper motivations. The key is to **uncover the emotional and functional drivers** behind a job change. For instance, a candidate may say they want a “better work-life balance,” but the real job to be done might be “I need to be present for my child’s school events without guilt.” When you address that specific job, you create a much stronger offer.
The JOLTS report, which stands for the **Job Openings and Labor Turnover Survey**, is a monthly data release from the U.S. Bureau of Labor Statistics (BLS). It measures the total number of job openings, hires, and separations across the country, excluding the farming industry. For recruiters, it is the single most authoritative snapshot of labor market tightness. It tells you not just how many jobs are available, but also how many people are quitting versus being laid off, which is a critical indicator of worker confidence. When I look at this data for recruitment strategy, I focus on the **quits rate** and the **job openings rate**. A high quits rate usually signals a competitive market where employees feel confident enough to leave for better offers. In that scenario, I know I need to speed up my candidate screening process and improve employer branding to retain top talent. The data also breaks down by industry and region, so I can compare the **talent retention rate** in my sector against the national average. If the data shows a sudden spike in layoffs in a specific vertical, I adjust my sourcing strategy accordingly, knowing that a larger talent pool might be available. Here is a quick breakdown of the core JOLTS components: | Data Point | Definition | What It Tells a Recruiter | | :--- | :--- | :--- | | **Job Openings** | Positions that are not filled and for which an employer is actively recruiting. | Indicates the total demand for labor. A high number means a candidate-driven market. | | **Hires** | Total number of new employees added during the month. | Shows the actual velocity of hiring. A low hires-to-openings ratio suggests a bottleneck. | | **Quits** | Voluntary separations initiated by the employee. | Measures worker confidence. High quits mean you need to act fast on offers. | | **Layoffs & Discharges** | Involuntary separations initiated by the employer. | Signals economic contraction or industry-specific downsizing. | I use this data to validate whether my current recruitment process optimization efforts are aligned with the market reality. If the report shows a drop in openings, I know the focus should shift from volume sourcing to quality of hire and candidate experience. It is not just a government statistic; it is a strategic tool for planning headcount. For example, if the JOLTS data shows consistent declines in the quits rate over three months, I know the market is softening, and I can negotiate harder on salary ranges without losing candidates.

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Hora da atualização 24/10/2026