Process Time: How to Measure, Analyze, and Reduce It

Business leaders are constantly looking for ways to improve productivity, reduce costs, and deliver better customer experiences. Yet many improvement initiatives fail to achieve lasting results because they focus on symptoms rather than understanding where time is actually being spent within a business process.

Without accurate process time measurement, organisations often rely on assumptions when deciding which activities to improve, automate, or eliminate. This can lead to investments that deliver little impact while the real causes of delays remain hidden.

Measuring and analysing process time provides a clear picture of how work moves from start to finish. It reveals where activities are completed efficiently, where work sits idle, and where opportunities exist to improve performance. Combined with modern AI capabilities, organisations can now perform this analysis faster and uncover insights that would have taken days or even weeks using traditional methods.

What Is Process Time in Business Process Management?

Process time refers to the amount of time required to complete the activities within a business process. It provides a measurable way to understand how long work takes and forms the foundation for identifying opportunities to improve business performance.

Every business process consists of a series of activities. Some activities directly contribute to delivering value, while others support business operations or create unnecessary delays. Measuring the time associated with each activity helps organisations understand where resources are being used effectively and where improvements are needed.

For example, consider an employee onboarding process. Creating user accounts may take five minutes, issuing equipment another ten minutes, and manager approval two minutes. Individually, these activities appear efficient, but measuring them together provides a complete picture of how the process performs.

Understanding process time enables organizations to move beyond assumptions and make improvement decisions based on measurable data rather than opinion.

Why Process Time Matters

Time is one of the most valuable resources within any organization. When processes take longer than necessary, the impact extends beyond slower operations. Delays can increase operating costs, reduce employee productivity, affect customer satisfaction, and limit an organization’s ability to respond quickly to changing business demands.

Analysing time across business processes helps organizations to:

• Identify opportunities for business process optimization
• Improve operational efficiency by reducing unnecessary delays
• Establish reliable process metrics for performance evaluation
• Support continuous improvement initiatives with measurable data
• Identify activities suitable for automation or redesign
• Monitor performance improvements over time

Rather than asking, “How long does this process take?”, organizations should ask, “Why does this process take this long?” The answer often reveals opportunities that were previously overlooked.

What Are the Process Time Components?

Not all time within a process is spent performing work. To understand where improvement opportunities exist, it is important to separate the time spent completing activities from the time spent waiting between them.

Execution Time

Execution time is the amount of time required to complete an individual activity within a process. It represents the actual work being performed by a person or system.

For example:

• Reviewing a customer application takes four minutes.
• Processing an invoice takes six minutes.
• Updating customer information takes two minutes.

Execution time allows organizations to understand how much effort is required to perform each activity and compare similar activities across different processes.

Delay Time

Delay time refers to the period during which work is waiting rather than being actively performed. Unlike execution time, no value is being created during this period.

Delays generally occur for two reasons.

External delays

These occur when progress depends on another person, department, supplier, or system.

Examples include:

• Waiting for customer information
• Waiting for manager approval
• Waiting for an external system to become available

Internal delays

These occur when work is available but is not acted upon immediately because it has not been prioritised.

For example, a customer request may remain in a queue for several hours before an employee begins processing it, even though all the required information is already available.

Although some delays are unavoidable, excessive waiting often indicates opportunities to improve process design, resource allocation, or governance.

Understanding Process Time Metrics

Once execution time and delay time have been measured, organizations can derive additional metrics that provide deeper insight into overall process performance.

Process Cycle Time

While process time focuses on the activities performed, process cycle time measures the total elapsed time required to complete a process from start to finish.

It includes:

• Execution time
• Waiting time
• Approval delays
• Queue time
• Other interruptions that occur before the process is completed

For example, a loan approval process may require only twenty minutes of actual work but take three days to complete because the application spends most of its time waiting for approvals.

Understanding this distinction helps organizations focus on reducing delays rather than simply trying to perform individual activities faster.

Value-Adding and Non-Value-Adding Time

Not every activity contributes equally to delivering value.

Business Process Management commonly classifies activities into three categories:

– Customer Value-Adding (CVA)
Activities that directly create value for the customer.

– Business Value-Adding (BVA)
Activities required for the organization to operate effectively, even though they may not be visible to customers.

– Non-Value-Adding (NVA)
Activities that consume time and resources without delivering meaningful value.

Measuring the time spent across these categories provides a practical way to identify waste.

For example, if three non-value-adding activities require two, one, and four minutes respectively, the organization loses seven minutes every time the process is executed. When that process occurs hundreds or thousands of times each year, the cumulative impact becomes significant.

This type of analysis also complements techniques such as value stream mapping, which focus on identifying and eliminating waste throughout a process.

How to Measure and Analyze Process Time

Accurate process analysis starts with reliable data. Measuring how long activities take is important, but the real objective is to understand why a process takes the time it does. A structured approach helps identify delays, unnecessary work, and opportunities to improve performance.

1. Define the Process Scope

Start by clearly identifying where the process begins and ends. A well-defined scope ensures everyone is measuring the same process and prevents activities from being overlooked or counted twice.

Creating a process map using a robust process mapping software before collecting time data also helps visualise how work moves between people, systems, and departments, making it easier to understand the complete workflow.

2. Measure Execution Time

Once the process has been mapped, record the actual time required to complete each activity. Wherever possible, use real operational data or observe multiple process instances rather than relying on estimates, as execution times often vary depending on workload or complexity.

Capturing accurate execution time establishes a reliable baseline that can later be used to evaluate the impact of improvement initiatives.

3. Identify Delay Time

Next, measure the time spent waiting between activities. Delays may occur because approvals are pending, information is unavailable, systems are offline, or work has not been prioritised.

Although no work is being performed during these periods, delay time often represents the largest opportunity for improvement because it directly increases the overall process duration.

4. Calculate the Overall Process Duration

After measuring execution and delay times, calculate the total duration required to complete the process. This provides a complete view of how long work takes from start to finish rather than focusing only on the time spent performing individual activities.

When analysing recurring processes, consider how frequently they are executed. A delay of only a few minutes may seem insignificant in isolation, but when repeated hundreds or thousands of times each year, it can result in a substantial loss of productive time.

This calculation helps quantify the true impact of delays and supports data-driven improvement decisions.

5. Analyse the Results

Once the measurements have been collected, analyse the results to determine where time is being consumed.

Focus on questions such as:

• Which activities have the longest execution time?
• Where do delays occur most frequently?
• How much time is spent on non-value-adding activities?
• Which delays contribute most to the overall process duration?

The objective is to identify the factors that have the greatest impact on process time so that improvement efforts can be focused where they will deliver the highest value.

How AI Helps Analyse Process Time

AI doesn’t replace the methodology for measuring and analysing process time—it accelerates the work involved at every stage, reducing manual effort while enabling faster, more consistent analysis.

Using an AI-powered Business Process Management platform, organizations can:

• Accelerate process discovery by transforming existing process knowledge—such as flowcharts, process documentation, images, meeting recordings, videos, and other business content—into an accurate, BPMN-compliant current-state process map, eliminating much of the manual documentation effort.
• Provide automated insights into process bottlenecks, delays, waiting time, and non-value-adding activities, enabling BPM teams to quickly identify improvement opportunities without manually analysing every process.

• Benchmark measured process time against historical performance, similar business processes, or predefined organizational thresholds to quickly identify processes that require attention.
• Highlight non-value-adding activities and recommend improvement opportunities based on their potential impact on reducing overall process time.
• Generate process analysis insights faster, enabling BPM teams to spend less time gathering and interpreting information and more time implementing improvements.

AI acts as an intelligent assistant that accelerates process analysis, improves consistency, and helps organizations make better-informed decisions based on reliable process data.

Process Cycle Efficiency: Measuring How Effectively Process Time Is Used

Measuring process time tells you how long a process takes to complete. The next step is understanding how efficiently that time is being used.

A process may have a short cycle time but still be inefficient if employees spend a significant portion of that time waiting for approvals, searching for information, or performing activities that add little or no value.

One of the most widely used metrics for evaluating process efficiency is Process Cycle Efficiency (PCE).

What Is Process Cycle Efficiency?

Process Cycle Efficiency measures the percentage of total process time spent on value-adding work. It compares productive execution time against the overall process cycle time, including waiting periods and other non-value-adding activities.

Process Cycle Efficiency (PCE) = (Value-Adding Time ÷ Process Cycle Time) × 100

For example, if a process takes 10 hours to complete but only 3 hours are spent performing value-adding work, the Process Cycle Efficiency is:

(3 ÷ 10) × 100 = 30%

This means that only 30% of the total process time contributes directly to delivering value, while the remaining 70% is consumed by delays, waiting, or activities that do not improve the outcome.

A low Process Cycle Efficiency often indicates opportunities to optimise process time. Monitoring this metric over time helps organizations measure the effectiveness of their process improvement initiatives and track progress towards greater operational efficiency.

Evaluate Process Time Quickly to Accelerate Process Improvement

Improving business processes begins with understanding how work actually flows through Effective process improvement starts with understanding how work actually flows through your organization. The faster you can evaluate process time, the sooner you can identify improvement opportunities, prioritise actions, and deliver measurable business value.

Rather than treating process analysis as a one-time initiative, organizations should make process time evaluation a continuous practice. Regularly reviewing process performance helps teams respond to changing business requirements, measure the impact of improvements, and ensure processes continue to support operational and strategic objectives.

Discover how PRIME BPM can help your organization to evaluate process time more efficiently using AI-powered process mapping and analysis, so you can accelerate process improvement with greater confidence. Start your 15-day free trial