Train Your Team on the New Platform

Converge Team

• Updated March 12, 2026

How to train your support team when switching from Sprinklr, including onboarding timelines and best practices.

Training Your Team After Switching from Sprinklr

Sprinklr's Care Console is a case-management system with an enterprise-grade unified agent desktop, customizable dashboards, and AI-powered agent assist. Moving to a conversation-based messaging platform means your team needs to adjust from complex case workflows to real-time conversation management.

Key Concept Mapping

Sprinklr concepts translate like this: Cases → Conversations, Care Console → Unified Inbox, Agent Desktop → Conversation view, Macros → Quick Replies, Queue management → Auto-routing (round-robin or load-balanced), Approval workflows → No direct equivalent (simplified in flat-hierarchy platforms), Workspaces → Company accounts, Global Users → Employees with roles (Owner/Admin/Agent). The biggest shift: Sprinklr separates the "Care Console" agent view from admin governance panels, while unified inbox platforms combine everything in a single interface.

Day 1: Core Navigation (30 min)

Walk through the unified inbox showing how all messages — from WhatsApp, Messenger, email, and widget — appear in one conversation list. Unlike Sprinklr's Care Console where cases are routed through queues and prioritized by AI-driven scoring, unified inbox platforms present all conversations in a single stream sorted by status and recency. Show status transitions (open → resolved → closed) and how conversation assignment works without Sprinklr's complex queue configuration.

Day 1: Recreating Workflows (30 min)

Recreate your most-used Sprinklr macros as Quick Replies. Set up customer tags to replace Sprinklr's case categorization labels. If you used Sprinklr's omnichannel routing with skills-based assignment, configure equivalent auto-routing rules (round-robin or load-balanced). Note that Sprinklr's approval workflows (where supervisor sign-off is required before sending certain replies) don't exist in simpler platforms — agents send replies directly.

Day 2: Features That Work Differently

Sprinklr's AI Agent Assist (suggested responses, case summaries, sentiment detection) costs extra via the BYOK model. Messaging platforms with included AI suggestions provide similar functionality at no additional cost. Sprinklr's quality assurance scoring and conversation review workflows don't have direct equivalents in most messaging platforms. Sprinklr's social listening dashboards and crisis monitoring are marketing features — they won't carry over to a support-focused platform.

Week 1: Supervised Practice

Have agents handle real conversations with a team lead available. The adjustment from Sprinklr's enterprise case management to a real-time conversation inbox typically takes 3-5 days. Agents used to Sprinklr's heavy governance may initially find the simpler interface "too easy" — reassure them that fewer clicks to resolve a customer issue is a feature, not a limitation.

Most teams report that the learning curve from Sprinklr to a messaging-focused platform is actually shorter than expected — usually 3-5 days. The complexity reduction is the biggest adjustment: agents go from navigating Sprinklr's multi-panel desktop with dozens of configuration options to a streamlined inbox focused entirely on conversations.