Beyond Completion Rates: How the Yogya Score Creates a Single Source of Truth for Workforce Growth

The most common metric in corporate L&D is course completion rate. It's also the most misleading.

Completion tells you that an employee opened a course and reached the end. It says nothing about whether they learned anything, whether they can apply it, or whether it improved their performance. A 2023 Harvard Business Review analysis found zero statistical correlation between course completion rates and on-the-job performance improvement.

The Problem with Single-Dimension Metrics

Traditional L&D metrics fall into four categories, each insufficient alone:

Activity metrics (completions, hours logged): Measure effort, not outcome. An employee can complete 100 hours of training and still have the same skill gaps.

Knowledge metrics (quiz scores): Measure recall, not application. Passing a quiz on React doesn't mean you can build a production application.

Perception metrics (satisfaction surveys): Measure enjoyment, not growth. The most entertaining course isn't necessarily the most effective.

Impact metrics (business outcomes): The gold standard, but nearly impossible to isolate. Did revenue increase because of the training, or because of a new product launch?

Introducing the Yogya Score: A Composite Approach

The Yogya Score is a weighted composite of four dimensions, designed to capture growth from multiple angles:

1. Learning Completion (Default: 30%) What it measures: Progress through assigned learning paths — but weighted by priority. Completing a high-priority item scores more than a low-priority one.

Why it matters: This is the input metric. You can't grow skills without engaging with learning content.

2. Assessment Score (Default: 30%) What it measures: Performance on role-specific assessments, including MCQ, true/false, and open-ended questions.

Why it matters: This validates whether learning translated to knowledge. Assessment questions are designed to test application, not just recall.

3. Manager Rating (Default: 20%) What it measures: Direct supervisor evaluation of skill demonstration in actual work context.

Why it matters: This captures the gap between 'knows' and 'does.' An employee might ace an assessment but struggle to apply the knowledge in practice. Manager observation catches this.

4. Performance Review (Default: 20%) What it measures: Formal performance review scores from the organisation's review cycle.

Why it matters: This is the long-term business impact measure. It connects learning investment to actual performance outcomes.

The Mathematics

Yogya Score = (LC × W_lc + AS × W_as + MR × W_mr + PR × W_pr) / (W_lc + W_as + W_mr + W_pr)

Where:
- LC = Learning Completion % (0-100)
- AS = Assessment Score % (0-100)
- MR = Manager Rating (normalised to 0-100 from 1-5 scale)
- PR = Performance Review (normalised to 0-100 from 1-5 scale)
- W = Weight for each dimension

Weights are configurable by each organisation's admin, with a constraint that they must sum to 100. This allows organisations to emphasise different dimensions based on their culture and priorities.

Roll-Up Methodology

The Yogya Score aggregates hierarchically:

• Individual: Calculated directly from the four dimensions
• Department: Average of all member scores, weighted equally
• Organisation: Average of all department scores, weighted by member count

How Organisations Are Using It

Early adopters have found three primary use cases:

1. Promotion readiness: A Yogya Score above 75 correlates with successful promotion outcomes 82% of the time in pilot organisations.

1. Team composition: Managers use department-level scores to identify teams that need reinforcement before taking on new projects.

1. L&D budget justification: Showing quarter-over-quarter Yogya Score improvement provides the ROI narrative that CFOs require.

References

• Harvard Business Review, 'The False Promise of Completion Rates', 2023
• Kirkpatrick, D.L., 'Evaluating Training Programs: The Four Levels', 1994
• Phillips, J.J., 'Return on Investment in Training and Performance', ASTD, 2003