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?
Our team focuses on tracking changes in user behavior before the churn actually happens, particularly if they start exploring our knowledge base or community forums more frequently.
We've seen a similar situation with our B2B customers - the initial excitement wears off if we don't follow up on their onboarding goals within the first week.
How do you account for the difference between users who disengage and those who leave negative feedback online - is it just a matter of proactive outreach?