KPI Tree

PostHog Metric

Product Analytics

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.

Full guide: definition, formula, and benchmarks
PostHogProduct Analytics

Time to First Value

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.

Why time to first value matters for PostHog users

Users who experience value quickly retain at dramatically higher rates than those who struggle through extended onboarding. Every additional minute before the aha moment increases the probability of abandonment. Reducing time to first value is often the highest-leverage growth optimisation.

Positioning time to first value in your metric tree connects onboarding speed to retention and expansion outcomes. Correlations show the time threshold beyond which retention rates drop sharply, creating a clear target for your onboarding experience.

Understand and act on time to first value with KPI Tree

KPI Tree connects first-use event data from your warehouse and calculates the time between signup and first value event. Track median and percentile distributions per user segment.

Assign RACI ownership to your onboarding product manager. Set alerts when time to first value increases and track onboarding simplifications against their impact on speed-to-value and subsequent retention.

Get started with your PostHog data

Query using MCP
MCP

Pull metrics from PostHog directly through the Model Context Protocol.

Data Warehouse
SnowflakeBigQueryDatabricksRedshift

Connect your existing warehouse where PostHog data already lands.

Professional Services
FivetranSnowflakedbt

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

User Activation Rate

Product Analytics

Metric 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.

View metric

Conversion Rate

Product Analytics

Metric Definition

Conversion Rate = (Users Completing Action / Total Users in Cohort) x 100

Conversion rate in PostHog measures the percentage of users who complete a defined conversion action - such as signing up, activating a feature, upgrading to a paid plan, or completing a key workflow. It quantifies how effectively your product converts users at each stage of the journey.

View metric

Time Between Events

Product Analytics

Metric Definition

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.

View metric

Drop-Off Analysis

Product Analytics

Metric 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.

View metric

Goal Completion Rate

Product Analytics

Metric Definition

Goal Completion Rate = (Users Completing Goal / Total Users in Cohort) x 100

Goal completion rate measures the percentage of PostHog users who achieve a predefined product objective - such as completing onboarding, creating their first project, inviting a team member, or reaching a usage milestone. It quantifies how effectively your product guides users toward its intended value.

View metric

Explore time to first value across integrations

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