Analyse NPS, CSAT, and support conversations together rather than piecemeal.
Feedback and support conversations sit in separate places today. When you analyse them separately, you see only part of the customer story.
Bringing NPS, CSAT, and support conversations into one Chattermill view lets the team analyse the full voice of the customer together rather than piecemeal. Themes and sentiment span all sources.
Replace manual feedback review with an evidence-based customer-health summary.
Give management an evidence-based view of complaint drivers without manual compilation.
Show which issues most drive customers to leave so fixes target what matters.
Connect the NPS and CSAT survey sources. Add your NPS platform, then your CSAT platform to Chattermill.
Connect the support conversation sources — email, chat, messaging. Add integrations for your email support system, live chat platform, and any messaging channels.
Confirm the data flows into a single unified view. Check that survey responses and support conversations appear together.
Validate that themes and sentiment span all sources. Verify that Chattermill analyses feedback from surveys and support conversations together.
Use the unified view for analysis and reporting. Analyse the full voice of the customer using the unified view.
Imagine [your company] runs NPS surveys and handles support email separately. Today, the team reviews NPS comments and support tickets in different places. You connect both sources to Chattermill. After the sync, the unified view shows NPS responses and support conversations together. You analyse themes. Chattermill surfaces feedback that appears in both NPS comments and support conversations. Without the unified view, the team analysed sources separately. The unified view lets you analyse the full voice of the customer together rather than piecemeal.
Bring NPS, CSAT, and support conversations into one view so themes and sentiment are analysed across all feedback sources together rather than separately.
See whether an issue is improving after a fix or getting worse.
Surface negative sentiment and churn signals tied to specific customers.