Measuring Metrics that Matter

Measuring Metrics That Matter

Date of Event November 16 2017
Time 1:00 pm EST
Duration 60 Minutes
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Melvin Prada
Speaker Melvin Prada
As head of Docebo’s Customer Success Team, Melvin strives to build measurable partnerships that are efficient and innovative. In his role, he works closely with the metrics that help clients demonstrate successful performance and continual improvement in L&D. His goal is to continue to build a customer success-centric experience.
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Measuring Metrics That Matter

Data is everywhere and practically everything can be measured. But, in a world overflowing with information, what metrics really matter?

In the ongoing quest to collect and analyze more and more data in our Learning and Development (L&D) programs, it’s easy to focus on data aggregation instead of insight into what story the numbers are telling us and how they can actually help us improve L&D performance.  On the other end of the spectrum, some of us are missing the mark by not measuring and collecting enough data – which means we’re leaving significant, relevant information out of our decision making process.

To help leaders in L&D drive more effective learning and onboarding programs, Docebo is pleased to present our upcoming webinar, Measuring Metrics That Matter.

In the webinar, we’ll focus on the key metrics that will yield real insight into the effectiveness of your L&D programs and help you make informed decisions about the way forward.

Webinar Objectives:

In this session, we’ll explore the follow topics and more:

  • How to distinguish ‘vanity metrics’ from data that measures success and informs decision making
  • Why organizations struggle to make data-driven decisions with actionable learning metrics
  • How to improve your L&D strategy with effective learning insights
Data collection and analysis are essential to improve your L&D strategy. Are you sure that your focus is on the right data, though? In this webinar, you will discover why it is hard for some organizations to distinguish vanity metrics from valuable learning metrics, and how you can avoid making that mistake yourself.
  • Hardware: Windows (1.4 GHz Intel Pentium 4 or faster/equivalent) or Mac (1.83 GHz Intel Core Duo or faster) and 512 MB of RAM (1 GB recommended)
  • Operating system: Windows 10, 8.1 (32-bit/64-bit), Windows 7 (32-bit/64-bit) or Mac OS X 10.9, 10.10, 10.11, and 10.12
  • Web browser: Microsoft Internet Explorer 9 or later, Microsoft Edge, Mozilla Firefox, Apple Safari and Google Chrome
  • Internet connection: Broadband (1 Mbps+) recommended
  • Software: Web browser plugin (will be prompted to install)
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