User Flow Analysis
User flow analysis maps the paths users take through your product in PostHog, from entry point through feature interactions to exit or conversion. It identifies the most common navigation patterns, unexpected detours, and the paths that most frequently lead to activation, retention, or churn.
PostHog metric
User flow analysis maps the paths users take through your product in PostHog, from entry point through feature interactions to exit or conversion. It identifies the most common navigation patterns, unexpected detours, and the paths that most frequently lead to activation, retention, or churn.
Full guide: definition, formula, and benchmarksWhy User Flow Analysis matters for PostHog users
Your product has intended user flows - the paths your design guides users along. Actual flows often diverge. Users may skip onboarding steps, discover features in unexpected order, or get stuck in loops. Understanding actual flow reveals where your product's design assumptions fail.
Mapping user flows into your metric tree connects navigation behaviour to outcomes. This reveals which paths lead to activation and retention versus which paths lead to confusion and churn, informing navigation design and feature placement decisions.
Driver
Conversion rate
Outcome · 58% contribution
Revenue
Understand and act on User Flow Analysis with KPI Tree
KPI Tree connects user path data from your warehouse and maps common flow patterns alongside conversion and retention metrics. Identify the paths with the highest and lowest success rates.
Assign RACI ownership to your product designer. Set alerts when primary flows see reduced usage or increased abandonment and track navigation changes against their impact on user success.
Get started with your PostHog data
Pull 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 Ready to add to your trees.
User Journey Analysis
Product AnalyticsUser journey analysis maps the complete multi-session experience of PostHog users over their lifecycle - from first visit through onboarding, feature discovery, habitual usage, and expansion or churn. It reveals the long-term patterns that distinguish users who succeed from those who leave.
View metric
Drop-Off Analysis
Product AnalyticsDrop-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
Funnel Conversion Analysis
Product AnalyticsFunnel 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.
View metric
Page/Screen Views
Product AnalyticsPage and screen views measure the total number of times specific pages or screens are viewed within your product, as tracked by PostHog. This metric reveals which areas of your product receive the most attention and how users navigate through your interface.
View metric
User Activation Rate
Product AnalyticsActivation 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 metricExplore User Flow Analysis across integrations
All PostHog metrics
Empower 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.