Contestability Rubric for Automated Decisions

Automated decisions can block access to loans, payments, education, utilities, and other essential services. When people cannot see why a decision happened, challenge it, or prove that an error was corrected, harm can continue. This project shares an easy-to-use Excel workbook that helps users assess whether an automated decision is contestable. It uses a simple 0–3 scoring rubric across five areas: Traceability, Ownership, Correction Workflow, Verification Evidence, and Closure Evidence. It also includes an Evidence Checklist (Yes/No) and a One-Page Report that summarises the case, the scores, missing evidence, and key gaps. The workbook is designed for broad use by bank operations and compliance teams, consumer advocates, auditors, journalists, and researchers. It is also designed to be adapted across domains. Privacy note: Do not type real personal identifiers into the workbook (for example, BVN, NIN, account numbers, phone numbers, or full names). Use Case_ID, ticket IDs, and masked evidence references. Files Contestability_Rubric_for_Automated_Decisions_Simple_User_v1_1.xlsx Contestability_Rubric_for_Automated_Decisions_README_v1_3_SubmissionReady.pdf Citation Collins Iziegbe OSOBASE (2026). Contestability Rubric for Automated Decisions: Simple User Version (v1.1). Open Science Framework.