An X Table is a provisional or draft statistical table used during development. It is a working reference for model testing and quality assurance, not a final table used to directly set policy terms or premium rates.
In insurance, this label appears when the dataset, assumptions, or credibility tests are incomplete and need refinement before release.
How X Tables are used
Actuarial and underwriting teams use these tables to:
- test assumptions,
- evaluate volatility,
- benchmark early model behavior,
- and spot bias before formal approval.
Until the table is validated, it should not be treated as a policy basis.
Risk and governance
Moving an X Table into production early can create pricing drift and inconsistent underwriting. Governance controls usually require:
- review sign-off,
- validation against observed claims,
- and documentation of exclusions, overrides, or temporary assumptions.
Related Terms
Knowledge Check
What is the key distinction between an X Table and a production table?
Answer: An X Table is provisional and still under validation; a production table is approved for operational rating decisions.
Why this matters: Using provisional data in pricing can materially distort premium adequacy.
Why is approval governance important for preliminary tables?
Answer: It prevents unsupported assumptions from driving pricing and underwriting decisions.
What does governance usually require before a table becomes operational?
Answer: Documentation, validation evidence, and formal approval steps from actuarial and underwriting leadership.
Why this matters: Insurance pricing directly affects solvency and fairness to policyholders.