Date: October 3, 2025
Audience: Everyone
Environmental Details:
Jama Connect® Cloud
Customer-Validated Cloud
Supported Self-hosted Versions
Summary
In Jama Connect®, lookup matrices can be “daisy-chained,” where the output of one matrix feeds as an input into another. However:
Only two consecutive lookup matrices are supported natively.
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Attempting to chain a third lookup matrix is not supported without:
Using the Medical Risk Management Package (JCI XLS functions), or
Creating a custom API script.
Example Workflow:
First Lookup Matrix: Input pick lists
Probability 1andProbability 2.Second Lookup Matrix: Input pick list
Severityplus the result of the first matrix.Third Lookup Matrix: Input pick list
Diagnostic Coverageplus the result of the second matrix.
This three-level “daisy chain” cannot be executed natively in Jama Connect®.
Resolution
We can assess the structures and contents of the three lookup matrices to determine whether they can be consolidated into two matrices, allowing the native functionality of Jama Connect® to achieve the original goal.
Example:
First Lookup Matrix: Input pick lists Probability 1 and Probability 2.
Second Lookup Matrix: Input pick list Severity plus the result of the first matrix.
Third Lookup Matrix: Input pick list Diagnostic Coverage plus the result of the second matrix, producing the Final Risk value.
Three “daisy-chained” lookup matrices are not supported natively.
The workflow above cannot be achieved as-is without the JCI XLS package or a custom API.
Consolidation Approach
With analysis, we can create a consolidated version of the matrices to reduce them to two lookup matrices:
Two “daisy-chained” lookup matrices replace the original three.
Compromise: Severity and Diagnostic Coverage cannot remain separate pick lists; they are merged into a single consolidated pick list containing all variations.
Limitation: This approach works best when the consolidated pick list contains up to 10 values.
This approach enables native Jama Connect® functionality to achieve the desired risk-calculation outcomes without external packages or scripts.
Implementation
Analyze Existing Matrices: Determine whether consolidation is feasible based on structure and input values.
Confirm End-User Requirements: Ensure the single pick list approach is acceptable for workflows.
Consolidate Lookup Matrices: Use standard Jama Connect® configuration practices to merge matrices.
Validate Results: Confirm that the consolidated matrix produces correct outputs and behaves as intended.
Tip: Human logic is key in mapping combined pick lists to maintain accurate risk calculations.
References
- Success Programs
- Success Catalog
- Datasheets
- Request a Solution Offering or Training from the Success Catalog
Feedback:
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