Quality Check
Learn how to use the automatic Quality Check for heatmaps to identify gaps and improvement opportunities in your knowledge base.
Written By Tommy Giesbrecht
Last updated 22 days ago
Article goal: After reading this article, you will be able to open the heatmap Quality Check, understand the improvement suggestions, and take targeted actions.
You can access this area with the Editor or Administrator role.
This feature is currently in development and is not yet fully functional.
How to open the Quality Check
1. Open the heatmap of a template
Click Knowledge Hub in the top navigation. Then click Templates in the left sidebar and select the desired template. Click Heatmap under Knowledge.
2. Start the Quality Check
Click the Improve button in the upper right corner of the heatmap view. The number in parentheses indicates how many improvement suggestions are available (e.g. "Improve (6)").
3. Review improvement suggestions
The Improvements panel opens on the right side. Suggestions are grouped by impact level:
High Impact — Critical issues that can significantly affect diagnosis quality.
Medium Impact — Issues that affect the clarity or completeness of the heatmap.
Low Impact — Minor optimizations that improve overall readability.
Click on a suggestion to view the details and the recommended action.
What does the Quality Check detect?
The Quality Check automatically analyzes the heatmap and detects various types of issues, for example:
More causes than symptoms — The heatmap has more causes than symptoms, which may indicate that some causes should be consolidated or that symptoms are missing.
Disconnected cause — A cause that is not connected to any symptom.
Disconnected symptom — A symptom that is not connected to any cause.
Duplicate or very similar names — Symptoms or causes with nearly identical names that should be merged.
Similar cause frequency patterns — Multiple causes with nearly identical fault patterns that could potentially be combined or should be better differentiated.
Similar symptom frequency patterns — Multiple symptoms with nearly identical assigned causes that could potentially be combined or should be better differentiated.
Missing descriptions — Causes or symptoms without description text.
Missing labels — Causes or symptoms without assigned labels.
Too many "Nie" (Never) — If "never" appears excessively in the heatmap, it may indicate missing assignments.
Too many "Immer" (Always) — If "always" appears excessively in the heatmap, the assignments should be reviewed.
Negative modifiers in symptom names — Symptoms with words like "no", "not", or "without" in the title that should be rephrased for clarity.
Important notes
The Quality Check runs automatically when the panel is opened. If you make changes to the heatmap, the results are updated automatically.
The improvement suggestions are recommendations. Review each suggestion in the context of your template before making changes.
The number of improvements is displayed on the Improve button as a number in parentheses.