{"id":23485,"date":"2026-06-23T16:46:47","date_gmt":"2026-06-23T12:46:47","guid":{"rendered":"https:\/\/krisp.ai\/blog\/?p=23485"},"modified":"2026-06-23T17:34:38","modified_gmt":"2026-06-23T13:34:38","slug":"call-center-qa-sampling-to-100-percent","status":"publish","type":"post","link":"https:\/\/krisp.ai\/blog\/call-center-qa-sampling-to-100-percent\/","title":{"rendered":"From 2% to 100%: what changes when every call gets reviewed"},"content":{"rendered":"


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Most contact center quality programs are built on a structural compromise: teams can only review a small fraction of calls, so they sample, hope the sample is representative, and manage performance from there.<\/p>\n

That compromise shapes everything downstream. Coaching is based on the calls that happened to be selected. Compliance issues are discovered in scheduled audits, often weeks after they occurred. Performance problems become entrenched patterns before anyone identifies them as patterns.<\/p>\n

Today, with Krisp Speech Analytics<\/a>, that compromise is no longer necessary.<\/p>\n

The numbers behind the gap<\/h2>\n

Most QA programs review less than 2% of calls manually.\u00b9 At that coverage level, 98 out of every 100 calls happen without any structured oversight. No score, no summary, no compliance check, no coaching flag.<\/p>\n

There is also an accuracy problem. Manual scoring is inherently variable \u2014 accuracy depends on the reviewer and tends to top out around 70%.\u00b9 Automated scoring applies identical criteria every time, delivering consistent 90% or higher.<\/p>\n

The financial case for fixing this is also clear. Shifting QA from manual sampling to automation can deliver more than 50% reduction in QA costs alongside a 25 to 30% improvement in agent efficiency.\u00b9<\/p>\n

Krisp Speech Analytics<\/h2>\n

Krisp Speech Analytics automatically analyzes every call immediately after it ends. Every conversation becomes structured data, without anyone having to pull a recording, listen to it, or score it manually.
\nThe foundation is a complete record of every call: transcript, recording (if enabled), and a searchable, timestamped log of events \u2014 all accessible in the admin portal. Call Scoring, Performance Monitoring, and Compliance Monitoring all operate on that same layer.<\/p>\n

Call Scoring\"\"<\/h3>\n

Each call is scored automatically against the team’s own quality criteria. Teams define the dimensions, the weighting, and the pass thresholds. Krisp provides a default set covering call opening, active listening, tone and professionalism, problem solving, and call closing \u2014 each can be adjusted or replaced entirely.<\/p>\n

QA reviewers can drill into any call to understand not just the score but the reasoning behind it. Automated scoring handles the coverage; reviewers apply their judgment where it matters.<\/p>\n

Teams can also run structured QA scorecard evaluations: a defined set of Yes\/No questions applied to every call, with auto-generated justifications from the transcript. Call dispositions are assigned automatically from each transcript, giving operations teams consistent categorization data across every call for reporting and analysis.<\/p>\n

What this gives QA teams:<\/strong><\/p>\n