Using Data to Challenge Negativity Bias in Quality Assurance Workflows
This poster shows how institutional staff are challenging assumptions of poor web archive capture quality. Although our institution manages more than 5 PB of web archive data, the QA team’s remediation work can create a misleading impression of low success rates. To address this, the team is developing a sustainable workflow that combines large-scale QA data with close review of individual captures to assess overall crawl health. Using a standardized rubric comparing live and archived browsing experiences, we found that most captures are successful. The rubric also helps identify priorities for remediation and triage. Scoring data and issue categories are visualized in Tableau, improving prioritization, transparency, staff training, and morale. Presented at the IIPC General Assembly and Web Archiving Conference held on April 20-23, 2026 in Brusells, Belgium.