Scoring and Insights

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What are AI Insights?

Quality Managers can gain actionable and meaningful insights around agent's performance and identify coaching opportunities by understanding the reasons behind the scores provided by AI on quality paramaters. Additionally, agents can work on their weaknesses by better using the corrective actio

Knowledge Base Article

Getting Started with Sprinklr Service

Reference Guide for Sprinklr Service

Sprinklr Service Glossary

Service Channels

Inbound Voice

Outbound Voice & Dialers

Case Management

Automation and Assignment

Unified Agent Desktop

Supervisor Console

Surveys

Journey Facilitator

Sprinklr Commerce

Workforce Management

Reporting and Analytics

Conversational AI

Digital Twin

IVR

Knowledge base

Community

Quality Management

Agent Analytics

Case Analytics View

Home Page

What is Quality Management?

What is Sprinklr Data Ingestion?

Troubleshooting & FAQs

Sampling & Allocations

Getting Started with Quality Management

Audit Dispute Flow

Performance Management

Calibration

Audit Checklists/Forms

AI Scoring in Quality Management

AI Insights

Channel Interactions

Quality Management Reporting

Ingestion Using SFTP/S3/GCP

Voice Analytics

Voice Analytics

What are Sprinklr's Quality Management Capabilities?

Getting Started with Quality Management

PII Masking

Homepage

Customer Satisfaction Analysis

Cases & Calls

Reporting

Audit Checklist Builder

Automated Sampling and Allocation

Agent Acknowledgement

Calibration

Introduction

Agent Quality Models

Automated Checklist Builder

Scoring and Insights

Quality Score Skills

Common Rule Actions and Conditions

Coaching

Reporting

Learning Management System

Conversational Analytics

Agent Assist

Sprinklr AI+

Customer-Facing Guided Workflows

Service Agent Personas