Investigates why a customer's product usage fell — decomposes the drop by metric and time, then correlates with tickets, conversations, and known events. Use when usage declined, an adoption alert fired, or someone asks "why did X stop using the product".
Investigates why a customer's product usage fell — decomposes the drop by metric and time, then correlates with tickets, conversations, and known events. Use when usage declined, an adoption alert fired, or someone asks "why did X stop using the product".