Customer support · Production

Kustomer Launches Data Explorer, the First CX Platform Feature That Lets Leaders Talk to Their Data

The problem

CX teams are stuck in slow, manual, reactive reporting — bouncing between dashboards and exports to answer basic questions, taking days to connect volume spikes, backlog shifts, and agent performance, with dashboards showing what happened but not why or what to do next.

Workflow diagram · grounded in source
1
CX leader asks a question
trigger
“Leaders can type questions such as, "Why did response times spike on chat last week?" or "Which queues are causing us to miss SLAs?"”
2
Unified CX data accessed
integration
“It analyzes customers, conversations, SLAs, sentiment, and custom objects together”
3
AI analysis and narrative generation
ai_action
“Data Explorer returns clear visualizations, a narrative explanation of what's driving the trend, and practical recommendations on how to respond”
4
Actionable recommendations delivered
output
“can turn insights into action by informing staffing plans, queue design, and coaching programs without exporting data to a separate business intelligence tool”
Reported outcome

Goody now runs weekly CX reviews in Data Explorer on demand rather than through manual reporting, saving hours every week and making analysis faster, more accurate, and far more actionable.

Reported metrics
CX review time savedsaving me hours every week
Analysis speed and accuracyfaster, more accurate, and far more actionable
Reported stack
KustomerData Explorer
Source
https://www.kustomer.com/resources/pr/kustomer-introduces-data-explorer/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Goody now runs weekly CX reviews in Data Explorer on demand rather than through manual reporting, saving hours every week and making analysis faster, more accurate, and far more actionable.

What tools did this team use?

Kustomer, Data Explorer.

What results were reported?

CX review time saved: saving me hours every week; Analysis speed and accuracy: faster, more accurate, and far more actionable (source-reported, not independently verified).

How is this customer support AI workflow structured?

CX leader asks a question → Unified CX data accessed → AI analysis and narrative generation → Actionable recommendations delivered.

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