LR-301i · Module 3

Report Quality Assurance

3 min read

A risk report with incorrect data is worse than no report — it drives wrong decisions with false confidence. Report quality assurance verifies that the data is accurate, the analysis is sound, the recommendations are supported by the evidence, and the formatting is consistent. Every report goes through QA before distribution.

Do This

  • Verify every number in the report against its source data — one incorrect number destroys credibility for the entire report
  • Have someone other than the author review the report before distribution — the author has blind spots about their own work
  • Maintain a report checklist: data verified, analysis reviewed, recommendations supported, formatting consistent, audience appropriate

Avoid This

  • Distribute reports without review — the error you catch before distribution costs nothing, the one found after costs credibility
  • Trust automated data without spot-checking — automated pipelines can produce consistently wrong data
  • Skip QA under time pressure — the report that goes out wrong under deadline pressure requires a correction that costs more time than the QA would have