An average car has about 30,000 parts. Even a seemingly simple fountain pen has about 25 different parts. Some of these might take minutes to manufacture, while others take days. <\/p>\n\n\n\n
In manufacturing, organizations use several metrics to accurately schedule the production cycle and get each part just in time. One of the most important metrics is cycle time. <\/p>\n\n\n\n
This metric, known to have originated from lean manufacturing, has now become popular in product and service industries. Let\u2019s see why and how you can use them to improve your production efficiency.<\/p>\n\n\n
Cycle time refers to the actual duration of a work item’s journey from the start of the production process to completion. It is important to note here that this is a measure of actual time based on past performance, not predictions\/forecasts for the future.<\/p>\n\n\n\n
Let\u2019s look at a few examples. If you\u2019re manufacturing pens, this is the time from when you put the PPC pellets into the injection mold to when you have completed the assembly of a single pen.<\/p>\n\n\n\n
If you\u2019re making bread, it\u2019s when you start kneading the dough and pull the bread out of the oven. If you\u2019re making t-shirts, it\u2019s the time between cutting the material to packaging ready to ship.<\/p>\n\n\n\n
If that reminds you of other time-related metrics, here\u2019s everything you need to know about cycle time vs. lead time<\/a>.<\/p>\n\n\n\n Though originally from manufacturing, cycle time has become a critical metric in calculating software development velocity, engineering productivity, and efficiency.<\/p>\n\n\n\n But first, let\u2019s define it. In software development, this is the time from when a team starts working on a feature until it\u2019s deployed to production. Project teams use cycle time in various ways.<\/p>\n\n\n\n Agile software development is akin to lean manufacturing, in that it focuses on just-in-time scheduling, process optimization, continuous improvement, and eliminating wastage.<\/p>\n\n\n\n Therefore, within software development, cycle time is a key metric in calculating lead time, improving the efficiency and speed of delivery. It is important in supporting the agile development principle of delivering working software frequently.<\/p>\n\n\n\n This is especially applicable in software testing, where tracking cycle time can play a compounding role in your deployment velocity.<\/p>\n\n\n\n Like lead time<\/a>, TAKT time, throughput, etc., cycle time is a time\/speed-related metric that organizations use for various purposes. Here is how it benefits your organization\/project in each case.<\/p>\n\n\n\n Reducing cycle time has a direct impact on the efficiency of the process. Any efficiency gain enables the team to address more customer requests or fix issues faster, leading to a more productive development cycle.<\/p>\n\n\n\n For example, a team that refines its code integration and testing phases to reduce cycle time from two weeks to one week can double the number of features it delivers in the same timeframe. <\/p>\n\n\n\n People assume that work done quickly\u2014typically seen as haste or rush\u2014affects the quality of output. In scrum project management<\/a>, the opposite can be true.<\/p>\n\n\n\n Shorter cycle times encourage more frequent testing and iterations, leading to higher-quality software. Rapid feedback loops reduce the likelihood of significant defects reaching production.<\/p>\n\n\n\n When you know how much time a task takes, you can plan better. You can forecast delivery timelines more accurately and manage expectations with stakeholders. <\/p>\n\n\n\n For example, if you know that your average cycle time for delivering a new feature is three weeks, you can schedule releases reliably. This predictability builds trust in all stakeholders. <\/p>\n\n\n\n Being agile requires you to be responsive to changes and meet customer demand. Your cycle time is a direct indicator of how soon you can respond. With industry benchmarking, you can reasonably measure your business\u2019 competitive advantage with cycle times.<\/p>\n\n\n\n Monitoring your cycle time fosters a culture of continuous improvement within the development team, helping them consistently identify inefficiencies and areas for improvement. <\/p>\n\n\n\n For example, a team might discover that code review is a bottleneck and adopt pair programming to address this, thereby improving their overall process and reducing cycle time.<\/p>\n\n\n\n Every customer is delighted when they can get output faster. So, shorter cycle times directly improve customer satisfaction.<\/p>\n\n\n\n Consider a scenario where a software team reduces the cycle time for new feature requests from one month to two weeks. Customers benefit from faster updates, which can have a direct impact on the bottom line.<\/p>\n\n\n\n Cycle time is a critical indicator of individual and team performance. Efficient cycle times make team members feel accomplished and valued. Meeting customer demand boosts team morale.<\/p>\n\n\n\n Continuous improvement accelerates their personal learning curves, giving them a sense of pride in their work. Overall, trends of cycle times can often be a measure of a team\u2019s progress.<\/p>\n\n\n\n Now that you know these benefits, how can you reap them? Let\u2019s take a look.<\/p>\n\n\n\n Cycle time is simply the time it takes for you to complete a task from the time you\u2019ve begun it. Therefore, the formula for cycle time is pretty straightforward. <\/p>\n\n\n\n Cycle time = Finish time – start time<\/p>\n\n\n\n The above formula is best applied for individual work items. From kneading dough for bread or coding a single feature. If you started at 1230pm and finished at 230pm, your cycle time for that task is two hours.<\/p>\n\n\n\n However, in most cases, the cycle time for a part of the process\u2014like kneading dough or coding\u2014alone might not be most valuable. A project manager is better served knowing the cycle time from development to deployment.<\/p>\n\n\n\n This collection of tasks is called a batch and is measured as batch cycle time.<\/p>\n\n\n\n Batch cycle time = Net cycle time\/Number of units produced<\/p>\n\n\n\n Here, net cycle time is the sum of cycle times for all tasks in the batch. It is typically measured in hours, days, or weeks, depending on the scope and scale of the projects. In manufacturing, this is also called net production time.<\/p>\n\n\n\n The number of units produced is the count of all the work items (e.g., features, bug fixes, user stories) that they completed in that timeframe.<\/p>\n\n\n\n If that seems quite simple, think again. Cycle time, especially batch cycle time, is a collection of multiple moving parts, each with its own complexities. A small wrong step can skew calculations, creating various challenges.<\/p>\n\n\n\n Some of the most common consequences of miscalculating cycle time are:<\/p>\n\n\n\n Inaccurate project timelines<\/strong>: Overestimating cycle time may result in inefficient use of resources and delayed delivery, while underestimating leads to aggressive deadlines, stressful situations, team dissatisfaction and decreased quality.<\/p>\n\n\n\n Poor resource allocation<\/strong>: Teams might allocate too many or too few resources based on miscalculated cycle times, causing bottlenecks or leaving resources underutilized.<\/p>\n\n\n\n Customer dissatisfaction<\/strong>: Customers expect timely delivery of products and updates. From the customer\u2019s perspective, miscalculated cycle times can seem shady, creating a loss of trust, negative reviews, and, ultimately, loss of business.<\/p>\n\n\n\n Financial losses<\/strong>: Underestimating cycle time can lead to delays or cost overruns. Overestimating can result in wasted resources, unnecessary expenses, and missed market opportunity. <\/p>\n\n\n\n Stressful experience<\/strong>: All stakeholders, including customers, partners, and employees, can face undue stress resulting from unrealistic expectations based on miscalculated cycle times. The risk of burnout is also high. <\/p>\n\n\n\n This can eventually lead to attrition, causing additional expenses to hire, onboard, and train new talent, to say nothing of the loss in institutional knowledge.<\/p>\n\n\n\n To ensure you\u2019re not miscalculating cycle times, you need to understand how to do it right. Here are some actual cycle time calculation examples using the formula above.<\/p>\n\n\n\n A software developer logs 3 hours to fix a bug. The average time taken for all their bug fixes is their individual bug fixing cycle time.<\/p>\n\n\n\n As a team, you complete and launch eight features in a month with 22 working days. Your cycle time is:<\/p>\n\n\n\n Cycle time = 22 days\/8 features = 2.75 days per feature<\/strong><\/p>\n\n\n\n A car assembly plant produces 300 cars in a month. If the total production time from the start of assembling the first car to the completion of the 300th car is 9,000 hours:<\/p>\n\n\n\n Cycle time = 9000 hours\/300 cars = 30 hours per car<\/strong><\/p>\n\n\n\n An e-commerce platform processes and ships 1000 orders in a week, working 24×7. Then, the cycle time is:<\/p>\n\n\n\n Cycle time = 7 days x 24 hours\/1000 orders = 0.168 hours per order, i.e., about 10 minutes.<\/strong><\/p>\n\n\n\n Now that you know how to calculate cycle time, here\u2019s how you can use in your day to day project management.<\/p>\n\n\n\n Measuring, recording, and optimizing cycle times is one of the most transformational aspects of any project management. As we\u2019ve seen above, it can impact various metrics, from team morale to customer bottom line.<\/p>\n\n\n\n To ensure you track and improve cycle times consistently, begin by using purpose-designed project management software<\/a> like ClickUp. Let\u2019s see how.<\/p>\n\n\n\n Before anything else, set up systems to measure cycle times. Typically, this information is available on timesheets, however, most software teams fill timesheets haphazardly in the end.<\/p>\n\n\n\n To track cycle time accurately, try ClickUp\u2019s time tracking<\/a> features, that allow each team member to start\/stop a timer or enter time manually. Teams can track time for each task\/sub-task. What\u2019s more? Multiple team members can track time for the same task as well.<\/p>\n\n\n\nCycle time and the software development lifecycle<\/h3>\n\n\n\n
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Cycle time in agile project management<\/h3>\n\n\n\n
The Role and Benefits of Cycle Time<\/h2>\n\n\n\n
Lesser the cycle time, better the efficiency<\/h3>\n\n\n\n
Faster cycles can lead to higher quality<\/h3>\n\n\n\n
Calculating cycle times creates predictability<\/h3>\n\n\n\n
Cycle time calculations power adaptability<\/h3>\n\n\n\n
Cycle time mirrors continuous improvement efforts<\/h3>\n\n\n\n
Shorter cycles = happy customers<\/h3>\n\n\n\n
All of the above = happy teams<\/h3>\n\n\n\n
How to Calculate Cycle Time?<\/h2>\n\n\n\n
Cycle time formula for individual work items<\/strong><\/h4>\n\n\n\n
Cycle time formula for batches<\/strong><\/h4>\n\n\n\n
Consequences of miscalculating cycle time<\/h3>\n\n\n\n
Cycle Time Calculation Examples<\/h2>\n\n\n\n
Software feature development cycle time<\/strong><\/h4>\n\n\n\n
Manufacturing unit<\/strong><\/h4>\n\n\n\n
E-commerce platform<\/strong><\/h4>\n\n\n\n
Using Cycle Time to Reach and Measure Project Goals and Delivery<\/h2>\n\n\n\n
1. Measure cycle time<\/h3>\n\n\n\n