PostHog Metric
Product Analytics
Feature flag impact analysis evaluates how PostHog feature flags and gradual rollouts affect engagement, conversion, retention, and revenue metrics. It measures the business impact of enabling or disabling features for specific user segments, providing evidence for rollout decisions.
PostHogProduct AnalyticsFeature Flag Impact Analysis
Feature flag impact analysis evaluates how PostHog feature flags and gradual rollouts affect engagement, conversion, retention, and revenue metrics. It measures the business impact of enabling or disabling features for specific user segments, providing evidence for rollout decisions.
Why feature flag impact analysis matters for PostHog users
Feature flags enable controlled rollouts, but measuring their impact requires looking beyond the immediate feature metrics. A feature that improves its target workflow may increase support tickets, slow page load times, or confuse users of adjacent features. Full-tree impact analysis catches these side effects.
Mapping feature flag impact into your metric tree reveals the complete business consequence of each flag change. This transforms feature rollouts from binary ship-or-revert decisions into nuanced evaluations of trade-offs across your entire product experience.
Understand and act on feature flag impact analysis with KPI Tree
KPI Tree connects feature flag assignment data from your warehouse and maps the performance difference between flag-on and flag-off cohorts across your full metric tree.
Assign RACI ownership to your product manager. Set alerts when feature flags produce unexpected metric movements and track rollout decisions against their validated business impact.
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
A/B Test Performance
Product AnalyticsMetric Definition
A/B test performance evaluates the outcomes of PostHog experiments by comparing engagement, conversion, and retention metrics across control and treatment variants. It determines whether feature changes produce statistically significant improvements and quantifies their impact on downstream business metrics.
Feature Adoption Rate
Product AnalyticsMetric Definition
Feature Adoption Rate = (Users Who Used Feature / Total Eligible Users) x 100
Feature adoption rate measures the percentage of eligible users who have used a specific feature within a defined period after its release or their first login. It quantifies how effectively your product introduces users to new and existing capabilities.
Conversion Rate
Product AnalyticsMetric 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.
User Retention Rate
Product AnalyticsMetric Definition
Retention Rate = (Users Active in Period / Users Active in Previous Period) x 100
User retention rate measures the percentage of users who return to your product within a defined period after their first use, based on PostHog event data. It is the inverse of churn and the primary indicator of whether your product delivers sustained value over time.
Churn Rate
Product AnalyticsMetric Definition
Churn Rate = (Users Lost During Period / Users at Start of Period) x 100
Churn rate measures the percentage of users who stop using your product within a defined period, based on PostHog event data. It quantifies user attrition by identifying users whose activity drops below a defined threshold, providing a behavioural measure of retention failure.
All PostHog metrics
A/B Test PerformanceBounce RateChurn RateCohort Retention AnalysisConversion RateDaily Active UsersDrop-Off AnalysisEvent Frequency AnalysisFeature Adoption RateFeature StickinessFunnel Conversion AnalysisGoal Completion RateMonthly Active UsersPage/Screen ViewsSession DurationSession FrequencySurvey Response AnalysisTime Between EventsTime 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.
