Preventing Training Data Analysis Pitfalls

bugle online training training reporting about bugle

Analysing training data is key to understand if your training efforts are being effective. In this article, we will share some pitfalls to avoid so you can make the most of your data – and your audience can make the most of your training.

What are the training data analysis pitfalls you should avoid?

1. The biggest pitfall of all: not doing it

Sure, it’s an obvious one. Yet, unfortunately, it still happens a lot. Make sure you do report on your training and analyse it from different perspectives.

2. Not having defined KPIs and goals

As in any project, it’s important to make sure you define the goals you want to achieve and the key metrics you want to measure impact on. After all, how do you know if you’re being successful, if you haven’t previously defined what success is.

3. Not comparing before and after

Make sure you have the data from before the start of your training project so that you can see how it changes after the training has been applied. For example, imagine you want to reduce onboarding time by using an online academy. It’s important to know how long it took before you launch the academy.

4. Not Framing the data with filters

If you make your analysis too wide, you’ll miss the many of the data hotspots that will give you specific clues on anything that may need changing. In an overall analysis of the results, you may miss that a specific course is not making it as well as the others, or that during a specific time frame there was a lower than usual attendance.

5. Compare potatoes with onions

When dealing with data, it’s important to make sure that you are comparing things that are comparable. For example, compare the same metrics before and after starting the training or a specific course, compare the same time period of year 1 to year 2 (and afterwards), compare course metrics from courses that have the same audience, and so on.

6. Group and individual (learning audience data)

Whenever possible, analyse your learning data from both a group and individual perspective. Whether you’re training employees, customers, partners or other stakeholders, understanding how groups or segments of your audience are being impacted by your training is great to understand what works and what doesn’t. Also, you can deep dive into the details of a single student to understand outliers both from a positive point of view, such as great cases you can use as testimony or ambassadors, or from a need to improve, for example, to understand why certain students may not be responding to the training.

7. Miss Training Content Analysis

It’s also important to analyse your training content. Analysing student data will give some great clues about your training content, however, if you’re not analysing your training content itself, you are missing out. Check out how the completion rate of a course, the ration of right / wrong questions answered in the quizzes, the assessments’ grade, the student feedback, and so on. This will help you understand exactly how a course is doing and where exactly you may need changes.

8. Not cross referencing with business data to understand impact

This is one of the top pitfalls that can happen. Even if you analyse all the training data for itself, not cross referencing it with your business data is a mistake. This point ties up with the second point in this article. When creating your goals and KPIs, make sure there are both training metrics and business metrics, and that you evaluate your achievements with training, whether it’s reducing onboarding time, increasing performance, higher satisfaction rates, or whichever goals you define.

9. Not doing anything about it

Finally, this pitfall will render all your analysis to ground. Well, maybe that’s a bit dramatic. But imagine that you do all this analysis and then you do nothing about it. The point of analysing all this data is to be able to improve on what you have. So, if you do nothing with the results of your analysis, you are definitely missing out.

Bugle offers a detailed reporting area where you can see and analyse all the data relating to your audience and your training content, making it easier to cross reference with your business metrics either by downloading the reports or by integrating with other platforms you use, such as CRM, Partners Management software, HR software and so on.


Learn more about how to leverage reporting, and make the most of your training platform platform in the bugle blog, the bugle Academy or get a free demo of the bugle platform.

Get a free demo of the bugle platform

You may also find interesting:
7 bugle features you should be using in your training (article)
12 Tips to choose the right training platform (article)
Bugle features guide (list)
Online Training Academy ROI Calculators (calculator)
How to prove online training impact (guide)
Video Formats for Training (poster and video)
The North Star Metric - bugle's online training use case (guide)

Writen by Joana Fonseca
13-Jan-2022 10:30:00

Share This!