Best Practices
How to Build AI QA Scorecards That Reviewers Can Trust
Design an AI QA scorecard with observable criteria, clear result states, weighted scoring, critical rules and calibration before rollout.
Best Practices
Guides to designing call evaluation criteria, custom forms and review processes for sales and support teams.
Working guides for the decisions that shape a call review program: which criteria belong on a scorecard, how to weight them, and how to make AI-assisted scores something reviewers can trust and audit.
The scorecard guide is the foundation. The companion article lists common sales call mistakes and shows how call analysis can help surface them for coaching.
- Start here: How to Build AI QA Scorecards That Reviewers Can Trust →
- Call quality for human and AI calls →
Best Practices
10 Sales Call Mistakes and How AI Can Help Find Them
Find ten sales call mistakes with transcript and action evidence, from weak qualification to false booking confirmations and mishandled refusals.