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306 Big Data: Training Needs You Don’t Know About But Have Already Captured

4:15 PM - 5:15 PM Wednesday, October 29

Data and Measurement

Raphael 1

Many training professionals find it challenging to know if training was effective on the job or if part of the organizational system is not supporting the training delivered. While many training departments collect data under Kirkpatrick’s levels one or two, few are able to track data beyond that. Training departments need a methodology for finding out training needs without on the job observation or having trainees return for a test.

In this session participants will explore the problem-based inquiry (PBI), a method used to systematically mine data that already exists at the organizational level that provides insight into what may need addressing with training. You will learn how this information is mined from the organizational help desk’s database of actions workers struggle with on the job. You will explore the tools and methodologies needed to use the PBI method. You will discover how inexpensive the PBI method is to employ and how it utilizes data already captured by the organization by the help desk.

In this session, you will learn:

  • How to indirectly evaluate training programs
  • How to use the problem-based inquiry method
  • The benefits of indirect training evaluation
  • How to use data already captured to improve training

Novice to advanced designers, developers, project managers, managers, and directors with a basic appreciation for the need to assess training effectiveness.

Technology discussed in this session:
The problem-based inquiry methodology.

Matthew Casey

VP of Content and Accreditations


Dr. Matthew Casey has over 10 years' experience in training solution design, implementation, and testing in a variety of business settings. Matt’s background includes training evaluation methods, training program management in both centralized and decentralized environments, technical communications management, instructional design program management, quality assurance, and help desk management.

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