Learning curve: optimize the performance of your business software

The learning curve is a graphical representation of the evolution of continuous learning with experience. It describes the relationship between a company’s total output and the quantities of factors required to produce each unit. To help improve software performance, continuous learning needs to integrate a number of approaches. Lemon Learning presents solutions to optimize the performance of your business processes with the learning curve.

Connection between learning curve and mastery of software

Companies that rely exclusively on formal training methods usually do not achieve satisfactory results. The use of the learning curve, on the other hand, supports holistic learning. This learning approach combines experience and performance and is often used in the context of industry or enterprise software.

User performance provides information about the user-friendliness of a learning system. Experience is determined by the number of training sessions completed by users. Combining the results of performance and experience is a basis for optimizing the parameters of your training, support or system interface. You can use the learning curve to compare different algorithms, among other things. It helps to select model parameters during the design phase and improve consistency and therefore identify the most appropriate data.

Use of the experience curve in industry or corporate software

The learning curve is a strategy that integrates training and performance support. Whether implemented in educational settings or corporate training, the initial focus should be on facilitating learning. Employees should start with mastering basic processes before advancing to real-time learning.

When applied to new software, the learning curve manifests as a straight line (flat or steep). Conducting training several weeks before the software’s activation may result in employees struggling to recall the steps involved. Competence to perform effectively tends to increase when the software is operational. Monitoring the efficiency curve and making necessary adjustments is vital at this stage.

As your company’s employees accumulate more know-how, the processes become firmly ingrained in their memory, as indicated by the learning curve. The curve steepens and accelerates when employees gain a foundational understanding of industry-related software through preparatory training.

Effective company training, coupled with dependable technical support, speeds up the improvement of performance. Additionally, encouraging employees to proactively explore the software for new features contributes to enhanced proficiency. If your company’s workforce accesses a shared database, it further boosts efficiency.

Conclusion

The learning curve is a practical tool for improving the performance of industry or enterprise software. Monitoring and analyzing user performance of newly introduced software accelerates the learning process. Monitor learning curve progress with user data and use this information to adjust learning parameters including training and support content. This flexible approach helps continually improve user performance.