Analysing human resource performance

Welcome to Analysing Human Resource Performance!

In the world of Business, we often hear that "people are a business's greatest asset." But how do we actually know if those assets are performing well? In this chapter, we move away from "gut feelings" and look at the hard data. We will learn how to calculate and interpret the four key HR metrics that managers use to see if their workforce is efficient, happy, and cost-effective.

Don't worry if you aren't a "maths person"—the formulas are straightforward, and we will walk through them step-by-step!

1. Labour Turnover

Labour turnover measures the rate at which employees leave a business over a specific period (usually a year). Think of it like a revolving door: how many people are walking out of the exit?

How to calculate it:

\( \text{Labour Turnover (\%)} = \frac{\text{Number of staff leaving during the period}}{\text{Average number of staff employed during the period}} \times 100 \)

What does it tell us?

A high labour turnover usually suggests that staff are unhappy. Perhaps the pay is too low, the management style is too autocratic, or there is a lack of training.

Example: If a fast-food restaurant has 50 staff and 25 leave in one year, the turnover is 50%. That’s a lot of new people to train!

The "Goldilocks" Rule:

Too high is bad (recruitment costs are expensive!), but zero is also not ideal. A little bit of turnover brings in "fresh blood" and new ideas.

Quick Review: High turnover = High costs for recruitment and training. Low turnover = Stability and high morale.

2. Labour Productivity

Labour productivity measures the output per worker. It tells a manager how much "work" is actually getting done by each individual on average.

How to calculate it:

\( \text{Labour Productivity} = \frac{\text{Total output per period (e.g., units)}}{\text{Number of employees}} \)

The Pizza Shop Analogy:

Imagine two pizza shops. Shop A has 5 staff who make 100 pizzas. Shop B has 10 staff who make 100 pizzas.
Shop A's productivity is 20 pizzas per person.
Shop B's productivity is only 10 pizzas per person.
Shop A is twice as efficient!

How to improve it:

Managers can increase productivity by:
1. Investing in better technology (tools that make the job faster).
2. Improving training (helping staff work smarter).
3. Increasing motivation (making staff want to work harder).

Key Takeaway: Higher productivity usually leads to lower costs and higher profits.

3. Employee Costs as a Percentage of Turnover

Note: In this context, "Turnover" means Sales Revenue, not staff leaving!

This metric shows what proportion of the money coming in from sales is being used to pay the staff. It helps a business see if its "wage bill" is getting out of control.

How to calculate it:

\( \frac{\text{Employee costs}}{\text{Sales turnover (Revenue)}} \times 100 \)

Real-World Comparison:

In a software company, this percentage might be very high because they have few other costs besides highly paid developers. In a highly automated car factory, it might be very low because machines do most of the work.

Common Mistake to Avoid: Don't confuse "Labour Turnover" (people leaving) with "Sales Turnover" (money from sales) in this formula!

4. Labour Cost per Unit

This tells a business exactly how much they pay in wages to produce just one single product. If this number is too high, the business might struggle to keep its prices competitive.

How to calculate it:

\( \text{Labour Cost per Unit} = \frac{\text{Total labour costs}}{\text{Total units of output}} \)

The Link to Productivity:

There is a secret relationship here: If labour productivity goes up, labour cost per unit usually goes down.

Example: if you pay a worker £10 an hour and they make 10 units, the cost per unit is £1. If they get better at their job and make 20 units in that same hour, the cost per unit drops to £0.50!

Key Takeaway: Keeping labour cost per unit low is vital for businesses that compete on price (like Aldi or Ryanair).

Using Data for HR Decision Making

Why do managers spend time doing these sums? It’s all about Decision Making.

Did you know? Data allows HR managers to be "proactive" rather than "reactive."

If the data shows high Labour Turnover...

Managers might decide to change their leadership style or conduct exit interviews to find out why people are unhappy. They might realize they need to improve employee engagement.

If the data shows low Labour Productivity...

The business might invest in talent development or new machinery. Or, they might look at financial rewards (like bonuses) to encourage more effort.

If the data shows high Employee Costs...

The business might consider outsourcing certain tasks, using more temporary or part-time staff, or even redundancies to save money.

Memory Aid: The "Four P's" of HR Data
1. People leaving (Turnover)
2. Performance (Productivity)
3. Percentage of sales (Employee costs)
4. Pence per product (Labour cost per unit)

Chapter Summary

Managing humans isn't just about morale; it's about efficiency. By calculating these four metrics, a business can see if its workforce is a source of competitive advantage or a drain on resources. Managers must use this data to plan for the future—whether that means hiring more people, training the ones they have, or finding ways to cut costs.

Final Tip: When answering exam questions, always ask yourself: "What is the impact of this number on the business's profits?" High productivity and low cost-per-unit are almost always good for the bottom line!