PostHog Metric
Product Analytics
Survey response analysis evaluates PostHog in-product survey results - including NPS, satisfaction scores, and open-ended feedback - alongside quantitative product usage data. It connects qualitative user sentiment to behavioural patterns to reveal why users behave the way they do.
PostHogProduct AnalyticsSurvey Response Analysis
Survey response analysis evaluates PostHog in-product survey results - including NPS, satisfaction scores, and open-ended feedback - alongside quantitative product usage data. It connects qualitative user sentiment to behavioural patterns to reveal why users behave the way they do.
Why survey response analysis matters for PostHog users
Product analytics tells you what users do. Surveys tell you what they think. Combining both reveals whether satisfied users behave differently from dissatisfied ones, whether high NPS correlates with retention, and whether specific product experiences drive satisfaction or frustration.
Mapping survey responses into your metric tree connects sentiment to behaviour and business outcomes. This reveals whether improving satisfaction on specific features would meaningfully impact retention and revenue, prioritising qualitative improvements with quantitative evidence.
Understand and act on survey response analysis with KPI Tree
KPI Tree connects survey response data from your warehouse alongside engagement and retention metrics. Map satisfaction scores per feature area into your product tree.
Assign RACI ownership to your product research lead. Set alerts when survey sentiment shifts and track experience improvements against both satisfaction scores and behavioural metrics.
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
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.
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.
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.
Session Frequency
Product AnalyticsMetric Definition
Average Session Frequency = Total Sessions / Unique Users (per period)
Session frequency measures how often individual users return to your product within a defined period, based on PostHog session data. It distinguishes between users who visit daily, weekly, or sporadically, revealing the cadence of habitual product usage.
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 FrequencyTime 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.
