Your customers are already telling you what to fix. The hard part is hearing the pattern.
CX Lab analyzes tickets, chats, surveys and reviews to turn thousands of individual conversations into recurring customer themes, sentiment shifts, feature needs and churn signals.
One ticket is anecdotal. Hundreds of similar conversations are a pattern.
CX Lab helps teams see when scattered comments become a business-relevant signal.
Move from reading conversations to understanding what customers keep saying.
See themes, source, volume, trend and sentiment in one place — so Support, Product, Success and leadership can work from the same customer narrative.
The same experience appears in different words across different channels.
A support ticket may describe “setup trouble.” A survey may say “hard to get started.” A review may say “confusing onboarding.” CX Lab groups the evidence around the underlying customer experience.
Sentiment tells you how customers feel. Context tells you what to do.
The strongest Voice of Customer programs connect the theme to the journey, operational impact and next action.
- Pain points and recurring complaints
- Feature requests and unmet needs
- Sentiment movement by topic
- Churn and escalation signals
- Emerging issues before they dominate volume
18% of support contacts relate to activation and setup. Negative sentiment is concentrated before customers complete their first workflow.
Teams read feedback channel by channel.
Support, Product and Success form different opinions from different subsets of customer evidence.
Everyone sees the same recurring customer narrative.
The organization can prioritize the issues customers mention most — and track whether the intervention changes the signal.
Questions teams ask before they start.
What is Voice of Customer analytics?+
Voice of Customer analytics turns qualitative feedback from tickets, chats, surveys, reviews and calls into structured topics, sentiment, pain points, feature requests and customer risk signals.
What customer feedback sources can be analyzed?+
Common sources include support tickets, chat transcripts, survey comments, NPS or CSAT feedback, online reviews and other customer conversations exported from your existing systems.
How can Voice of Customer data reduce churn?+
Recurring complaints, negative sentiment and unresolved friction can be linked to customer accounts and lifecycle stages so teams can intervene before those patterns become renewal risk.
Turn qualitative feedback into evidence your teams can use.
Start with exported conversations or work with us to design a Voice of Customer program around your existing stack.