Troubleshooting Career Planning position recommendation

Use this information to identify issues that affect position recommendation results. It also helps you understand the data conditions that influence system behavior.

No recommendations generated

This behavior indicates missing or incomplete competency data in the input payload. Employee competency profiles must include valid credentials, component types, and proficiency levels in the expected format.

Irrelevant position recommendations

Irrelevant results can result from poor-quality training data or incorrect competency-to-position mappings.

Generic or noisy mappings, and low threshold values, reduce precision and introduce unrelated recommendations.

Credential-based mismatches

Credential mismatches occur when training data contains inaccurate or incomplete credential associations between competencies and positions.

Validation and weighting are applied, but data quality remains critical for accurate alignment.

Missing positions in recommendations

Positions can be excluded when training data lacks sufficient competency records for those roles.

A balanced dataset with adequate examples per position supports consistent and reliable prediction results.