The Time In List custom field automatically tracks how long a record has been in each list, providing detailed insights into workflow progression and bottlenecks.
The Time In List field is extremely valuable for analyzing workflow efficiency and identifying process improvements. Some examples include:
Monitoring how long support tickets spend in each status (New, In Progress, Waiting for Customer, Resolved)
Tracking sales pipeline progression to identify where deals get stuck
Analyzing manufacturing workflow stages to optimize production timelines
Measuring content approval processes from draft to published
Identifying bottlenecks in recruitment workflows from application to hire
Tracking project phases to understand where delays commonly occur
Monitoring service delivery stages to improve customer experience
The Time In List field provides automatic, real-time tracking without manual intervention. It calculates time spent in each list both historically and currently, showing percentage breakdowns of where records spend the most time. This enables data-driven process optimization, helps identify inefficiencies, and provides clear visibility into workflow performance.