KPI Tree

Salesforce Metric

CRM

Case Resolution Time = Average(Case Close Date - Case Created Date)

Case resolution time measures the average elapsed time from case creation to case closure in Salesforce Service Cloud. It evaluates support team efficiency and customer experience by tracking how quickly issues are addressed, segmented by case priority, type, product, and support agent.

Full guide: definition, formula, and benchmarks

Average Resolution Time

Case resolution time measures the average elapsed time from case creation to case closure in Salesforce Service Cloud. It evaluates support team efficiency and customer experience by tracking how quickly issues are addressed, segmented by case priority, type, product, and support agent.

How to calculate average resolution time

Case Resolution Time = Average(Case Close Date - Case Created Date)

Why average resolution time matters for Salesforce users

Resolution time directly impacts customer satisfaction, retention, and expansion likelihood. Customers waiting days for issue resolution are significantly more likely to churn than those who receive prompt support. Salesforce Service Cloud captures comprehensive case lifecycle data, but many teams only track average resolution time without examining the distribution, which can hide a long tail of severely delayed cases.

Resolution time analysis also reveals operational bottlenecks. Cases that involve escalation, cross-team collaboration, or engineering involvement take predictably longer. Understanding these patterns helps support leadership staff appropriately, set realistic SLAs by case type, and identify process improvements that would reduce the most common delays rather than optimising already-efficient case types.

Understand and act on average resolution time with KPI Tree

Land Salesforce case records with creation, update, and closure timestamps in your warehouse via ETL. KPI Tree calculates resolution times by priority, type, product, agent, and escalation status.

Add case resolution time to your metric tree as a customer experience metric feeding into account health and churn risk. Assign ownership to support team leads, set SLA-based alerts for cases exceeding target resolution times, and track resolution time trends period-over-period to measure the impact of process improvements and staffing changes.

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