Call Centre Helper's 2026 research, ScorebuddyCX edition
For QA, CX and contact center leaders who want to benchmark their quality program against their peers, with expert commentary on what to do next.
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still use manual QA scorecards
use AI-driven QA scorecards
mostly trust AI to support quality monitoring, with human oversight
say budget or ROI is the biggest barrier to AI in QA
Source: Call Centre Helper, What Contact Centres Are Doing Right Now (2026).
72.9% still use manual QA scorecards, while only 24.3% use AI-driven scorecards.
64% mostly trust AI to support quality monitoring, with human oversight still needed; only 3% have little or no trust.
27.6% say budget or ROI is the biggest barrier to AI in QA; only 8.6% blame distrust of the AI.
22.4% would ditch manual processes first if they could improve one thing about QA.
The 14th annual research report from Call Centre Helper, which describes itself as the world's largest online community of contact center professionals. The quality assurance chapter is sponsored by ScorebuddyCX and includes commentary from Dara Kiernan (KPI Consulting Ireland), Alex McConville (ALPerformance), Adam Boelke (Alignment Advantage Group) and Nerys Corfield (Director, Injection Consulting Limited). Our edition opens with a foreword from Derek Corcoran, CEO, ScorebuddyCX.
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The full quality assurance chapter of Call Centre Helper's 2026 research, with four sets of findings and expert commentary on each, plus a foreword from our CEO and practical next steps for QA teams.
QA managers, CX leaders and contact center operations leaders reviewing how they score, coach and use AI in quality assurance.
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AI that extends human judgement, never replaces it.
Analyze 50x more conversations with AI
Cut manual QA workload by 60%+
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