Learning Curve: Understanding Theory, Benefits, and Examples

Some of these decisions include how they negotiate payments with vendors, when they can invest in special initiatives, and where they should allocate their resources. If we were to graph the outputs and cost, we would see the learning curve for this product. We would see a gradual and steep increase in proficiency between the first and tenth products created by the team. This means that as the company increases their orders, the team will experience gains in learning and therefore reduce the cost of producing the product. The learning curve is the visual representation of the relationship between how proficient an individual is at a task and the amount of experience they have.

The concept of the learning curve is meant to show the learnability or the learning ability of a subject. It is presented in graph form so that an individual can relate his relative progress visually throughout the process and the estimated difficulty in learning the subject over a specific time. The learning curve formula is used to model how the time required to complete a task decreases as a worker gains experience with that task.

  • Imagine a company is producing widgets, and the time to produce the first unit is 100 hours.
  • Their only experience may be with similar tools and tasks, but not with the ones they’re now learning.
  • Introducing new technology in an organization typically involves multiple learning curves.

Complex Learning Curve

Holding an MBA in Marketing, Hitesh manages several offline ventures, where he applies all the concepts of Marketing that he writes about. More often, the end portion of the curve levels off after showing a plateau, which is an indicator of a new challenge. If you’re feeling discouraged about your lack of progress on an academic project or professional task, take a break and come back later with fresh eyes and a new perspective. The most important thing you can do when you plateau is keep pushing yourself. Practice makes perfect, and practicing it more often is the only way to improve. «Don’t give up!» is a clichéed phrase that has been repeated so many times because it’s true.

The complex learning curve is designed to model and map more complicated learning patterns on the way to task mastery and requires more detailed progression tracking. This suggests that the measured task is challenging to learn and takes a certain amount of practice before a learner can become proficient. All this can be easily handled by a clear understanding of the learning curves. The third stage of the complex learning curve tends to demonstrate that learner knowledge is plateauing.

Imagine a horizontal axis that shows time or experience, and a vertical one that represents performance or proficiency. If you are learning fast, your curve will be steep, and if your progress is slow, the curve will be flat. The 4 types of learning curves help us measure the effectiveness of study courses or training programs, predict the time needed to achieve proficiency, and optimize resource distribution. The learning curve is a powerful tool for understanding how efficiency improves over time through experience and repetition. It is also a vital tool for businesses to optimize processes, forecast cost reductions, and allocate resources effectively. It applies across industries, from manufacturing to skill development, emphasizing the diminishing returns of improvement as experience grows.

Learning curve models and examples

It means you’re putting in the effort, but the visible progress is slow initially. Don’t get discouraged – once you get the hang of it, your improvement will speed up unexpectedly. The diminishing-returns learning curve often shows up when your learning task is easy or simple. At first, you quickly solve a lot, but after a while, you can solve them, but it takes more time for each one.

Personalized training

He described two sides of the same process and had presented two learning curve graphs. He mostly was focusing on memory studies and developed a forgetting curve theory. This theory helps us to understand how our memory works, and retains information, relating to specific things people attempt to learn. Despite its importance, learning curves are only commonly applicable to some activities. This is the steep part of the “S.” But as you become skilled, the curve flattens out, forming the plateau. It’s like climbing up a what is learning curve hill, enjoying the view, and finding a comfortable resting spot.

  • When the relevant proficiency level is achieved in a task or process, then comes the rigidity stage.
  • The initial phase of any learning process is subject to a slower progress rate.
  • The learning curve as a framework can help organizations to understand in this scenario what is required to become proficient in the software.
  • More organizations are leveraging employee training software to implement effective training with personalized learning content that uses user analytics to help shorten the learning curve across employees.
  • Zimmer also comments that the popular use of steep as difficult is a reversal of the technical meaning.
  • There are currently different variations of the original formula used today in specialized applications, but the idea remains familiar to the original formula.

The Learning Curve: Types, Advantages and Applications

With Whatfix, REG reduced its time-to-proficiency for its CRM and ERP by 50%, equally a 3-month faster onboarding time for new employees. It also reduced daily IT support tickets by 600% by deflecting issues with in-app support. The 1st curve of achievement represents an increase in productivity over each unit of trial. Later, Arthur Bills described the learning curve in his work “General experimental psychology” (Bills, Arthur Gilbert, in 1934, page 192). While the term “learning curve” came into use in the early 20th century, Dr. Hermann Ebbinghaus described this theory as early as 1885. Efficiency and development curves typically follow a two-phase process of first bigger steps corresponding to finding things easier, followed by smaller steps of finding things more difficult.

This is either due to maximizing task efficiency or fatigue having set in. Depending on the task or process, there are four types of learning curve progression models. The learning curve theory is based on the concept that there is an initial period where the amount invested in learners is more significant than the return. However, after overcoming the learning curve, the return is much greater than the investment. The learning curve is the correlation between a learner’s performance on a task or activity and the number of attempts or time required to complete the activity. If you’re looking to leverage the full potential of learning curves in your training programmes Omniplex Guide can help you to design and deliver optimised learning and development initiatives.

However, once the learner has attained a certain level of mastery, they reach a performance plateau (similar to what we see in the diminishing returns learning curve). In business, the concept of the learning curve shows the cost and output relationship over a specific period to represent the employer or employees’ repetitive tasks. It is generally used in forecasting costs, setting delivery schedules and measuring production efficiency.

The learning curve also highlights areas where training or process improvements can lead to significant cost savings. In the initial learning phase, learners experience rapid progress as they acquire basic skills and become familiar with the task at hand. As learning progresses, the slope becomes less steep, reflecting that further improvements are slower and achieving additional cost savings becomes more challenging. Visually, a steeper slope on a learning curve signifies rapid initial learning, leading to significant cost savings. Following our product example, the team’s output accelerates until it remains certain. Despite creating more products, the team will not make any additional gains in their productivity rate.

This formula is particularly useful in manufacturing, project management, and any context where repetitive tasks lead to efficiency gains over time. Typically, the horizontal axis of the curve denotes time or experience, while the vertical axis represents proficiency or performance. Let’s delve into how understanding this concept can make your journey to mastery more efficient and rewarding.

Historical data makes it easier to estimate how long it’ll take for someone to become proficient or for new processes to become second nature. First described by Dr Hermann Ebbinghaus in 1885 who, after evaluating his own memory over time, formulated a graph to demonstrate the rate of lost information. He posited that after a mere 20 minutes, just 60% of the information would be retained. Unlock your potential and accelerate your career with sought-after management and leadership skills. Explore Our Course LibraryEnhance your leadership skills with our diverse selection of courses.

The learning curve model requires that one variable is tracked over time, is repeatable and measurable. As a whole, learning to read is a complex procedure involving many variables and is not ideal for a learning curve. There are many variables in learning that impact the rate of progression and cannot be accurately reflected in the learning curve model. This learning curve model is only applicable when used to measure the real rate of progress for completing a specific task against time.

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