If your AI‑driven onboarding reduces support tickets but spikes early churn, the hidden cost is trust erosion. What early‑stage signals (e.g., sentiment dip, feature disengagement) do you monitor to catch the trust gap before users bail?
I think the trust gap may also show up in support chat sentiment, not just tickets. Have you correlated that?
You mention sentiment dip; we used NPS surveys at 1-week intervals and saw a 5-point drop before churn. What frequency works best?
I found that monitoring time-to-first-action drops sharply after onboarding. Did you track that metric?
Nice insight on feature disengagement; we added a pop-up reminder that cut churn by 12%. Would love to hear how you handle that.
In my team we saw churn spike when users didn't complete the tutorial but still had high satisfaction scores. Any thoughts on reconciling?