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Training Effectiveness: Measure Learning Impact at Work
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Training Effectiveness: Measure Learning Impact at Work

Build a baseline, track behavior, compare training results and use artificial intelligence for a leadership decision
Last updated 10/2026
English

What you'll learn

  • Define one job outcome, its measure, direction, eligible cases and data owner on an outcome card
  • Calculate a baseline for one group and period with a stated numerator, denominator and missing records
  • Record one observable workplace action with consistent rules on a behavior observation sheet
  • Compare before and after results, showing both sample sizes, the absolute change and data limits
  • Set sources, collection windows, owners and dates in a one-page data collection plan
  • Compare changes in two similar groups and document differences that existed before training
  • List other possible causes of a result and the records needed to check each one
  • Use artificial intelligence to check supplied figures and draft a one-page continue, change or close decision that a human verifies

Course content

4 sections • 8 lectures • 6h 20m total length
  • Choose a Business Outcome46:28
    • Turn the sponsor's question into one job result worth tracking

    • Define the people, roles, unit of work and eligible cases

    • Specify the indicator, direction, data source and owner

    • Complete a one-page outcome card

  • Establish a Baseline47:10
    • Select a period before the program and define the group

    • Count eligible records, numerator and denominator with one rule

    • Record exclusions and missing data

    • Create a baseline table that can be repeated later

Requirements

  • Experience running or managing at least one workplace learning program
  • Access to non-sensitive outcome and observation records for a program you can examine
  • Basic comfort with counting records and calculating a percentage
  • A browser for the interactive course tools; an approved artificial intelligence assistant for the final lesson

Description

This course contains the use of artificial intelligence

Your training report says people attended. Can it show what changed in their work?

When a result moves, can you tell leadership how much the training may have contributed?

Feedback and completion figures are easy to collect. They rarely answer the question that arrives when a leader decides whether to keep funding a program: what happened on the job? A result may improve while the team, process or customer mix changes too. Without a clear starting point and consistent records, the report can claim more than the evidence supports, or miss a useful change altogether.

This course follows one workplace learning program from the first business question to a decision for leadership. The work starts by choosing one job outcome and drawing a boundary around the people and cases that count. You then establish the starting value, observe a specific workplace action and plan when and where the next records will come from. The result is a trail that another person can inspect, repeat and question.

With those records in place, a before and after comparison becomes more informative. A similar group can add context, while differences between groups and changes in the work environment remain visible. You examine other plausible explanations before writing a recommendation. The aim is a decision whose wording matches the strength of the available evidence, including the cases where the right next step is to collect a missing record.

Mike created and teaches the course. He has 20 years of human resources experience, including work at Wargaming and Preply. He is the founder of PapaHR Academy and the #1 human resources instructor on Udemy, with more than 2,000,000 Udemy students. The course uses a practical sequence of artifacts rather than an unsupported claim that a changed number proves training caused it.

First you define the result and baseline. Next you capture behavior and prepare a collection plan. Then you compare periods and groups, check what else could explain the result, and use artificial intelligence to inspect the supplied figures and draft a one-page recommendation. You verify every calculation and claim against the underlying records before presenting it.

What's included:

  • Lifetime access to all course materials

  • Instructor support through Udemy questions and answers

  • Udemy Certificate of Completion

  • An assignment and interactive browser tool for each of the eight lessons

  • An outcome card, baseline table, observation sheet, collection plan, comparison tables, explanation register and one-page decision form

  • A section with additional courses, tools and resources

The next decision about a program may arrive before anyone has agreed on what to measure. Starting with one outcome and one source now gives you a clearer answer when that conversation happens. Enroll now and start your first lesson today.

Who this course is for:

  • Learning and development managers who need to show what changed at work after one program
  • Training managers who already collect feedback and completion data but need a workplace outcome measure
  • Learning and development specialists preparing a defensible program recommendation for leadership
  • Human resources managers who sponsor workplace training and need to question claims about its impact