PostHog Metric
Product Analytics
Time between events measures the duration between two specific PostHog events in a user's session or journey - such as the time between signup and first project creation, or between feature discovery and first use. It reveals workflow efficiency and user momentum through your product.
PostHogProduct AnalyticsTime Between Events
Time between events measures the duration between two specific PostHog events in a user's session or journey - such as the time between signup and first project creation, or between feature discovery and first use. It reveals workflow efficiency and user momentum through your product.
Why time between events matters for PostHog users
Long gaps between key events signal friction, confusion, or lost momentum. If users take 10 minutes between signing up and creating their first project, something in your onboarding flow is slowing them down. Reducing these gaps typically improves conversion at the subsequent step.
Mapping time-between-events into your metric tree connects workflow speed to downstream conversion and retention. Correlations reveal whether faster progression through key steps predicts better outcomes, justifying UX investments that reduce friction.
Understand and act on time between events with KPI Tree
KPI Tree connects event timing data from your warehouse and calculates durations between key event pairs. Track median and percentile distributions alongside conversion metrics.
Assign RACI ownership to your product designer. Set alerts when time between critical events increases and track UX simplifications against their impact on progression speed and conversion.
Get started with your PostHog data
MCPPull metrics from PostHog directly through the Model Context Protocol.
Connect your existing warehouse where PostHog 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 PostHog metrics
Time to First Value
Product AnalyticsMetric Definition
Time to first value measures the duration between a user's first interaction with your product and the moment they complete a defined value-delivering action - their "aha moment" - as tracked in PostHog. It quantifies how quickly your product demonstrates its worth to new users.
Funnel Conversion Analysis
Product AnalyticsMetric Definition
Funnel conversion analysis tracks user progression through defined multi-step journeys in PostHog - from initial action through intermediate steps to final conversion. It measures the conversion rate at each step and identifies where the largest opportunities for improvement exist.
Drop-Off Analysis
Product AnalyticsMetric Definition
Drop-off analysis identifies the specific steps within PostHog funnels where users disengage or fail to proceed. It quantifies attrition at each stage to pinpoint the features, screens, or interactions that cause users to abandon their journey before reaching the desired outcome.
Session Duration
Product AnalyticsMetric Definition
Average Session Duration = Total Session Time / Total Sessions
Session duration measures the average time users spend in your product during a single PostHog session, calculated as the time between the first and last event. It indicates engagement depth and whether users spend enough time to derive value from your product.
User Activation Rate
Product AnalyticsMetric Definition
Activation Rate = (Users Completing Activation Actions / Total New Signups) x 100
User activation rate measures the percentage of new signups who complete a defined set of activation actions in PostHog within a specified timeframe. Activation actions typically represent the behaviours that correlate with long-term retention, such as completing onboarding, creating a first project, or inviting a colleague.
All PostHog metrics
A/B Test PerformanceBounce RateChurn RateCohort Retention AnalysisConversion RateDaily Active UsersDrop-Off AnalysisEvent Frequency AnalysisFeature Adoption RateFeature Flag Impact AnalysisFeature StickinessFunnel Conversion AnalysisGoal Completion RateMonthly Active UsersPage/Screen ViewsSession DurationSession FrequencySurvey Response AnalysisTime to First ValueTrend AnalysisUser Activation RateUser Flow AnalysisUser Journey AnalysisUser Retention RateUser Segmentation AnalysisWeekly Active UsersEmpower your team to understand and act on PostHog data
Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.
