Month: May 2026

Compensation does much more than determine how much money someone earns. It shapes behavior, motivation, and even commitment to an organization. I saw this firsthand when one of my friends decided to leave a retail management position for a warehouse operations job that initially seemed less appealing. The warehouse job involved longer shifts and more physically demanding work, yet the compensation structure strongly influenced the decision.

At the retail job, compensation was mostly fixed salary with small annual raises that were tied loosely to performance evaluations. My friend often felt frustrated because the pay increases did not reflect the extra effort spent training employees, covering shifts, and improving store performance. In terms of equity theory, there was a sense of negative inequity; the inputs were high, but the outputs did not seem fair compared to coworkers in similar roles at other companies. This perception of unfairness affected motivation and overall job satisfaction.

The warehouse company used a different compensation strategy. Employees received higher base pay, attendance bonuses, overtime opportunities, and quarterly performance incentives tied to productivity and safety metrics. The compensation system created a much clearer connection between effort and reward. The possibility of earning additional pay through measurable performance increased motivation because employees could directly influence outcomes.

This situation also connects to ideas from First, Break All the Rules, which emphasizes that effective management and reward systems focus on what employees do best rather than relying solely on traditional structures like seniority or promotion-based advancement. In a similar way, the warehouse company’s incentive system reinforced performance in specific measurable areas, helping align employee behavior with organizational goals rather than just tenure or job title.

This situation reflects several concepts discussed in compensation management. First, incentive pay can motivate behavior when employees believe they have control over performance outcomes. Second, compensation affects both extrinsic rewards, such as pay and bonuses, and intrinsic rewards, such as feelings of fairness and recognition. Finally, it also reflects how organizations compete in labor markets and sometimes use efficiency wages to attract and retain employees by paying above market levels.

In a nutshell, compensation influenced not only where my friend chose to work, but also how motivated and committed they felt once employed there.

Work cited

• Buckingham, M., & Coffman, C. (2016). First, break all the rules: What the world’s greatest managers do differently (2020 ed.). Gallup Press.
• Greenhouse, S., & Strom, S. (2014, July 4). Paying employees to stay, not to go. The New York Times.
• Kerr, S. (1977). The folly of rewarding A while hoping for B. Academy of Management Executive.
• Smith, D. (2015). Most people have no idea whether they’re paid fairly. Harvard Business Review.

From my own experience, some classes are actually really effective for learning, while others don’t really stick. I think the difference usually comes down to how the training is designed and whether it gives you a chance to actually use what you are learning.

One class I took that was really effective, used a mix of instruction and hands-on practice. Instead of just sitting through lectures, we had activities, examples, and feedback, which helped a lot. Looking back, this matches what we learned about training design, especially the importance of “hands-on methods” like simulations and practice for improving skill development and transfer of training. It also connects to the UPS training example, where employees learn better when they can apply what they are taught instead of just watching or listening.

In terms of Kirkpatrick’s model, this class went beyond just “reaction” and “learning” and also reached the “behavior” and “results” levels. I actually felt like I improved my performance and could apply what I learned later, which shows real behavior change and outcomes.

On the other hand, I have had classes that were mostly lecture-based and didn’t really include practice or feedback. Those classes felt more like information being delivered instead of actual learning. Even if the content was important, it didn’t connect to anything real, so it didn’t stick. From a training perspective, it lacked good design and didn’t support transfer of training to real use.

Overall, I think effective training depends on design, especially whether it includes practice, feedback, and real-world connection. As Ellis et al. (2017) point out, training is most effective when employees are supported in applying what they learn, not just hearing it.

References

• Ellis, A., Nifadkar, S. S., Bauer, T. N., & Erdogan, B. (2017). Your new hires won’t succeed unless you onboard them properly. Harvard Business Review. https://hbr.org/2017/05/your-new-hires-wont-succeed-unless-you-onboard-them-properly
• Colvin, G. (2010). Making of a UPS driver. Fortune. https://fortune.com (Archived article)
• Buckingham, M., & Coffman, C. (2020). First, break all the rules: What the world’s greatest managers do differently (20th ed.). Gallup Press.

Introduction

In this post, I reflect on my experiences with job interviews and what makes them effective or ineffective in practice. Interviews can vary significantly depending on how they are designed and conducted, and these differences have a direct impact on fairness, consistency, and hiring quality.

What Made Interviews Effective

The most effective interviews I have experienced were structured interviews, where each candidate was asked the same job-related questions. This improves reliability, since candidates are evaluated under consistent conditions, and strengthens validity because the questions are directly tied to job performance.

Interviews that included clear scoring criteria, such as rating scales or benchmark answers, were also more effective. These tools help reduce bias and increase objectivity, improving the overall quality of hiring decisions. This reflects the importance of structured selection methods emphasized in HR research and the course materials. Structured interviews also help reduce legal and ethical risks related to biased decision-making, aligning with equal employment principles such as the Civil Rights Act of 1991.

What Made Interviews Ineffective

In contrast, unstructured interviews often felt less effective because questions varied widely between candidates. This made comparisons difficult and reduced fairness. I also observed potential bias effects, such as snap judgments based on appearance or confidence. These errors reduce interview quality and can negatively affect hiring decisions. According to Bohnet (2018), relying on intuition increases bias, while structured processes help improve fairness and consistency. Some interviews also included questions that were not clearly related to job performance, which reduces utility because it wastes time without improving decision quality.

How Interviews Can Be Improved

If I could advise employers, I would recommend:

• Using structured behavioral and situational interviews
• Asking standardized, job-related questions
• Using clear scoring rubrics
• Involving multiple interviewers

These practices improve reliability, validity, and fairness. As Chamorro-Premuzic and Steinmetz (2013) explain, data-driven hiring methods are more effective than intuition-based decisions in predicting job performance.

This aligns with the broader shift toward evidence-based hiring practices and the use of structured tools to reduce bias and improve decision accuracy.

In conclusion, better interview structure leads to better hiring outcomes. When interviews are designed to be consistent, job-related, and data-driven, they become more fair, more accurate, and more useful for both employers and candidates.

References

• Bohnet, I. (2018). How to take the bias out of interviews. Harvard Business Review.
• Chamorro-Premuzic, T., & Steinmetz, C. (2013). The perfect hire. Scientific American Mind, 24(3), 42–47.