411 - Data-Driven Design: Harnessing Analytics for Effective Product Training
Many businesses find it challenging or are unable to quantify the effectiveness of training. While metrics related to course participation can be measured, measuring the effectiveness the training has is often undervalued. From a business perspective, it’s hard to justify revisiting the enhancement of underperforming training, as there’s not an easy way of quantifying the business value. If there was a way to tie training to the bottom line, it would make our job of improving ineffective training a lot easier.
In this session, you’ll explore a framework that can help measure and improve the effectiveness of product-based training, as well as quantify the business value. To start, you’ll take a closer look at what it means to collect quantitative data. This includes a variety of easy to implement tools and methods for harvesting the data. You’ll then explore how to determine which product area requires additional training to be created. At this point the framework will outline how you can define key performance indicators that can demonstrate value to your business and add to the bottom line. Lastly, you’ll discuss how to bring this information together to gain executive buy-in and how to implement this plan in real life. Once implemented, you’ll then see how to tie the collected data pre- and post-training to help validate the key performance indicators and improved training effectiveness.
In this session, you will learn:
- How to effectively measure training results
- The importance of measuring product-based adoption through training
- How to identify product-training gaps
- What makes good key performance indicators
- How to articulate your findings to leadership and executives to gain buy-in and sponsorship
- How to implement your new found plan and increase product adoption using training
- How to prioritize product training
Designers, developers, managers
SaleForce, Google Analytics, Segment.io, LMS