A Step-by-Step Guide to the Control Process in Business Management

Every successful business runs on plans – but plans alone don’t guarantee results. What bridges the gap between planning and actual achievement is the control process. It’s a structured, step-by-step procedure that helps managers monitor whether things are going as expected and, if not, take timely action. Whether you’re running a small agri-business or managing a large corporation, understanding the procedure of controlling is essential for keeping operations efficient and goals on track.

The control process in management is typically broken down into five distinct steps: fixing performance standards, measuring actual performance, comparing results against standards, finding the cause of deviations, and taking corrective action. Let’s walk through each step in detail.

What is controlling in management? 🔗

Before jumping into the steps, it helps to understand what controlling actually means. Controlling is a core management function that involves comparing actual performance with planned objectives and then making adjustments where needed. It does not prevent problems from occurring, but it minimises deviations by identifying issues early and enabling corrective decisions. Without a control mechanism in place, even the most well-crafted business plan is just a set of good intentions with no way to verify whether it’s being executed properly.

The controlling process works as a continuous cycle. Once corrective actions are implemented, managers go back to measuring performance again, making it a loop that repeats as long as the business operates. This ongoing nature is what keeps businesses aligned with their objectives over time.

Step 1: Fixing performance standards 🔗

The first step in the control process is setting clear performance standards. Standards are the benchmarks or targets against which actual results will be measured. Without these, you have no reference point to judge whether your business is doing well or falling short.

Types of standards 🔗

Performance standards generally fall into two categories. Quantitative (measurable) standards are expressed in numerical terms – units produced, revenue earned, cost per unit, time taken to complete a task, and so on. For instance, a dairy farm might set a target of processing 500 litres of milk per day, or a sales team might aim to convert 20% of leads into customers each month.

Qualitative (non-measurable) standards deal with aspects that are harder to express in numbers, such as employee morale, customer satisfaction, brand reputation, or the quality of leadership. While these are more subjective, they are equally important.

What makes a good standard? 🔗

Effective standards share a few key characteristics. They should be attainable – setting unrealistically high targets demoralises teams rather than motivating them. They should be measurable so that performance can be objectively assessed. And they must be flexible enough to accommodate changes in the business environment. A standard that made sense six months ago may no longer be relevant if market conditions have shifted. This is why many businesses use the SMART framework – Specific, Measurable, Attainable, Relevant, and Time-Bound – to define their targets.

Standards should also be communicated clearly to everyone involved. If your team doesn’t know what they’re aiming for, the entire controlling process becomes meaningless.

Step 2: Measuring actual performance 🔗

Once standards are in place, the next step is to measure what’s actually happening on the ground. This is where data collection and monitoring come in. If you can’t measure performance, you can’t control it.

Methods of measurement 🔗

There are several ways to measure performance, and the right method depends on the nature of the work. Common techniques include personal observation (managers visiting the field or production floor), statistical reports (sales figures, production output data), performance reports from various departments, and sample checking (testing a portion of output to infer overall quality).

For example, a food processing unit might use quality inspections at different production stages rather than waiting until the final product is ready. An agricultural enterprise might track crop yields at multiple growth stages rather than only at harvest time.

Important considerations 🔗

Measurement should be done in the same units as the standards. If the standard is expressed in units of production per day, the actual performance should also be tracked in units per day – not in some other metric that makes comparison difficult. Also, managers should track both quantitative and qualitative aspects. Focusing only on numbers can be misleading. For instance, a team may hit production targets by cutting corners on quality – which could hurt the business long-term.

Modern businesses increasingly rely on technology for measurement. Tools like key performance indicator (KPI) dashboards, ERP systems, and data analytics platforms make it possible to track performance in real time, giving managers a more accurate and timely picture of what’s happening across the organisation.

Step 3: Comparing actual performance with standards 🔗

The third step is where the real evaluation happens. Managers compare the measured performance against the established standards to determine whether there’s a gap. This comparison reveals deviations – the differences between what was planned and what actually occurred.

When everything is on track 🔗

If actual performance matches or exceeds the standards, the controlling process essentially pauses at this point. Everything is in line with the plan, and no corrective action is needed. However, this doesn’t mean the process stops permanently. It continues as a recurring cycle.

When deviations exist 🔗

In most cases, actual performance and set standards won’t match perfectly. There will almost always be some degree of variance. The key question is: how significant is the deviation?

Not every deviation deserves the same level of attention. Minor deviations that fall within an acceptable range can often be ignored. But significant gaps – especially in critical areas – demand immediate analysis. Managers need to determine two things here: the extent of the deviation (how large is the gap?) and its direction (is it positive or negative?). A positive deviation means performance exceeded expectations, which may also be worth investigating to understand what worked well.

Step 4: Finding the cause of deviations 🔗

Identifying that a deviation exists is only half the battle. The crucial next step is understanding why it happened. Without diagnosing the root cause, any corrective action you take is likely to be a temporary fix at best.

Internal vs. external causes 🔗

Deviations can result from internal factors – things within the organisation’s control – such as poor planning, inadequate training, faulty equipment, weak supervision, or communication breakdowns. For example, if a farm’s post-harvest losses are higher than the standard, the cause might be outdated storage facilities or untrained workers handling the produce.

External factors are those beyond the organisation’s direct control: market fluctuations, regulatory changes, weather events (particularly relevant in agriculture), supply chain disruptions, or shifts in consumer demand. While these can’t always be prevented, understanding them helps managers plan more realistic standards in the future.

Tools for analysing deviations 🔗

Managers use various analytical approaches to get to the bottom of deviations. Root cause analysis techniques such as the 5 Whys method (asking “why” repeatedly until the fundamental cause is identified) and fishbone diagrams (mapping potential causes across categories like people, processes, materials, and environment) are widely used in both manufacturing and service industries.

Critical point control and management by exception 🔗

Two important principles help managers focus their efforts during this step. Critical Point Control directs attention toward Key Result Areas (KRAs) – the activities that have the most impact on overall organisational performance. It’s neither practical nor cost-effective to scrutinise every single activity with equal intensity.

Management by Exception works on a similar logic: managers should only be bothered by deviations that exceed a certain threshold. Minor variations are handled at lower levels, while only significant exceptions are escalated. For example, if stationery costs exceed the budget by 2%, it may not warrant senior management’s attention. But if raw material costs deviate by 15%, that’s a critical issue that needs immediate investigation.

Step 5: Taking corrective action 🔗

The final step in the control process is where the actual course correction happens. Based on the analysis of deviations and their causes, managers must decide on and implement appropriate corrective measures.

Types of corrective action 🔗

There are broadly two approaches managers can take. The first is to fix the deviation itself – address the specific problem that caused performance to fall short. This might involve retraining employees, upgrading equipment, improving processes, reallocating resources, or tightening supervision.

The second approach is to revise the standards. If the analysis reveals that the original standards were unrealistic, too aggressive, or based on outdated assumptions, then the standards themselves need to be adjusted. This isn’t a sign of failure – it’s a sign of good management. Flexibility is essential, especially in industries like agriculture where external variables can be unpredictable.

Making corrective action effective 🔗

For corrective actions to work, they need to be timely. Delayed responses allow problems to compound. They should also be specific – targeted at the root cause, not just the symptoms. A well-designed corrective action plan documents exactly what needs to change, who is responsible, what the timeline is, and how success will be measured. The plan should follow the SMART criteria, just like the standards themselves.

Follow-up is equally critical. After implementing corrective measures, managers must go back to Step 2 – measuring performance – to check whether the actions had the desired effect. If the problem persists, the root cause may have been incorrectly identified, requiring a fresh round of analysis.

A practical example of the control process 🔗

Let’s bring this to life with a practical scenario. Suppose a seed production company sets a standard of producing 10,000 packets of certified seeds per month with a rejection rate below 2% (Step 1). At the end of the month, the production team reports that only 8,500 packets were produced, with a 5% rejection rate (Step 2).

When the manager compares these numbers to the standard, there’s a clear shortfall in both output and quality (Step 3). Investigation reveals that one of the seed processing machines had frequent breakdowns during the month, and a batch of raw seed stock received from a supplier had lower germination rates than expected (Step 4).

The corrective actions could include scheduling preventive maintenance for the machine, negotiating better quality agreements with the supplier, and sourcing an alternative supplier as backup. If the standard of 10,000 packets per month was set without accounting for seasonal fluctuations in seed availability, the manager might also revise the target to a more achievable number for that period (Step 5).

Why the control process matters 🔗

The control process isn’t just a management formality – it delivers real, tangible benefits to any organisation that implements it seriously.

Ensures goal alignment: It keeps all departments and team members focused on the same objectives. Without regular checks, individual activities can drift away from the overall strategy.

Improves efficiency: By identifying waste, bottlenecks, and underperformance early, the control process helps businesses optimise their use of resources – time, money, materials, and people.

Supports better decision-making: Data collected through the control process gives managers the evidence they need to make informed decisions rather than relying on guesswork.

Enables continuous improvement: Because it operates as a cycle, the control process naturally drives continuous improvement. Each cycle builds on the insights from the previous one, gradually raising the bar for performance.

Facilitates accountability: When standards are clear and performance is measured, it becomes straightforward to identify where responsibilities lie and who needs to step up.

Relationship between planning and controlling 🔗

It’s worth noting that planning and controlling are deeply interconnected management functions. Planning without controlling is just wishful thinking – you set goals but have no mechanism to verify execution. Controlling without planning is equally futile – you have nothing to compare performance against.

Planning provides the standards and objectives that controlling uses as reference points. In turn, controlling provides feedback that informs future planning. If actual performance consistently falls short of plans, it may signal that the planning process itself needs improvement – perhaps the assumptions were flawed, the resource estimates were off, or the timeline was too aggressive. This feedback loop is what makes both functions effective over time.

Common challenges in the control process 🔗

While the steps are straightforward in theory, several challenges can arise in practice. Setting unrealistic standards leads to repeated deviations and demoralised teams. Inaccurate measurement – whether due to poor data collection methods or intentional manipulation – undermines the entire process. Resistance from employees who view control mechanisms as surveillance rather than support can also be a significant hurdle.

In agriculture-related businesses specifically, external factors like weather unpredictability, pest outbreaks, and market price volatility add layers of complexity to the control process. This makes it even more important to build flexibility into standards and maintain a proactive approach to monitoring.

What do you think? How do you handle deviations when external factors beyond your control – like weather or market shifts – are the primary cause? And in your experience, is it better to adjust the standards or push harder to meet the original targets?

References

1. https://courses.lumenlearning.com/wm-principlesofmanagement/chapter/the-control-process/
2. https://acqnotes.com/acqnote/careerfields/controlling-process
3. https://www.qlik.com/us/kpi
4. https://www.geeksforgeeks.org/business-studies/process-of-controlling/
5. https://safetyculture.com/topics/corrective-action
6. https://www.epicor.com/en-us/blog/business-and-finance/how-to-create-a-successful-corrective-action-plan/
7. https://www.projectmanager.com/blog/controlling-process-steps