Intercom Metric
Support
Resolution Time = Conversation Closed Timestamp - Conversation Created Timestamp
Resolution Time measures the total elapsed time between when an Intercom conversation is first opened and when it is marked as closed or resolved. In Intercom this draws on conversation timestamps and state changes, capturing the full journey across every reply, reassignment and snooze rather than just the first agent response. It reflects how long a customer actually waits for their issue to be settled, not how quickly the first reply went out.
Full guide: definition, formula, and benchmarksIntercomSupportResolution Time
Resolution Time measures the total elapsed time between when an Intercom conversation is first opened and when it is marked as closed or resolved. In Intercom this draws on conversation timestamps and state changes, capturing the full journey across every reply, reassignment and snooze rather than just the first agent response. It reflects how long a customer actually waits for their issue to be settled, not how quickly the first reply went out.
How to calculate resolution time
Why resolution time matters for Intercom users
Resolution Time is one of the clearest signals of how well an Intercom support operation is serving its customers. Long resolution times point to staffing gaps, unclear escalation paths or recurring issues that no one has documented, and they erode customer trust even when first replies are fast.
Tracking it across teams, inboxes and conversation topics lets you separate genuinely hard cases from process friction. It also gives support leaders a defensible number to set expectations with the wider business, since a rising trend usually shows up here before it shows up in churn or in negative feedback.
Understand and act on resolution time with KPI Tree
Sync your Intercom conversation data, including created and closed timestamps and state changes, into your warehouse and compute Resolution Time in KPI Tree. Place it in a metric tree alongside related measures such as average resolution time and agent utilisation rate so you can see which inputs move the number and where conversations stall.
Assign RACI ownership in KPI Tree so a support lead is accountable for the metric and the relevant team managers are consulted on targets. Set a weekly review cadence to catch upward trends early, with a deeper monthly look at conversation topics and channels that drive the longest resolutions.
Get started with your Intercom data
MCPPull metrics from Intercom directly through the Model Context Protocol.
Connect your existing warehouse where Intercom data already lands.
Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.
Related Intercom metrics
Average Resolution Time
Customer SupportMetric Definition
Resolution Time = Conversation Resolved Timestamp − Conversation Created Timestamp
Resolution Time measures the total elapsed time from when a customer opens a conversation in Intercom to when it is marked as resolved. It encompasses first response time, back-and-forth exchanges, internal investigation, and any waiting periods. It is a primary indicator of support efficiency and customer experience.
Agent Utilisation Rate
Customer SupportMetric Definition
Agent Utilisation Rate = Active Handling Time / Total Available Time × 100
Agent Utilisation Rate measures the percentage of an agent's available time spent actively handling conversations versus idle or performing administrative tasks. It helps balance workload to prevent both burnout from over-utilisation and waste from under-utilisation.
Conversation Abandonment Rate
Customer SupportMetric Definition
Abandonment Rate = Abandoned Conversations / Total Conversations × 100
Conversation Abandonment Rate measures the percentage of support conversations where the customer stops responding before the issue is resolved. It indicates friction, frustration, or perceived futility in the support experience. High abandonment often correlates with long wait times or unhelpful initial responses.
Agent Performance Analysis
Customer SupportMetric Definition
Agent Performance Analysis evaluates individual support agents across multiple dimensions including response time, resolution rate, customer satisfaction scores, and conversation volume handled. It provides a balanced scorecard that avoids over-indexing on speed at the expense of quality.
Explore resolution time across integrations
All Intercom metrics
Agent Performance AnalysisAgent Utilisation RateArticle Effectiveness ScoreCompany Support TrendsConversation Abandonment RateConversation Channel AnalysisConversation Funnel AnalysisConversation Resolution RateConversation VolumeCustomer Effort ScoreCustomer Journey Support AnalysisCustomer Satisfaction ScoreCustomer Segment Support AnalysisFirst Response TimeHelp Centre Article ViewsMessage Sentiment AnalysisPeak Support Hours AnalysisProactive Support EffectivenessRepeat Contact RateAverage Resolution TimeSelf-Service Success RateSupport Cost per ConversationSupport Ticket Escalation RateTag Usage AnalysisTeam Workload DistributionEmpower your team to understand and act on Intercom data
Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.
