PostHog Product Usage Tracker

Task

Use @PostHog/Capture EventName it "PostHog/Capture Event" and call it with @PostHog/Capture Event to track feature usage events across your product (feature activations, workflows completed, integrations configured), @PostHog/Identify UserName it "PostHog/Identify User" and call it with @PostHog/Identify User to update user properties based on their behavior patterns (power user, at-risk, new, churning), and @PostHog/Track Page ViewName it "PostHog/Track Page View" and call it with @PostHog/Track Page View to record which product pages and sections users visit most. This builds a product usage intelligence layer in PostHog that reveals who your power users are, which features drive retention, and where users get stuck.

Input

The user provides:

1. Feature usage events to track (e.g., "report_generated", "integration_connected", "team_member_invited")
2. Product pages or sections to monitor (e.g., "/dashboard", "/settings/integrations", "/reports")
3. User identifier and current properties
4. Behavior-based segments to assign (e.g., power user = 10+ features used, churning = no activity in 7 days)

Example: "Track product usage for user_789 on our project management tool: they viewed the dashboard, created a project, invited 3 team members, and connected the Slack integration. Update their user segment to power_user."

Context

Feature Usage Tracking

1. Use @PostHog/Capture EventName it "PostHog/Capture Event" and call it with @PostHog/Capture Event for each feature interaction:
   • Feature activations: "feature_activated" with feature name, first use flag
   • Workflow completions: "workflow_completed" with workflow name, duration, steps
   • Configuration changes: "setting_changed" with setting name, old value, new value
   • Integration events: "integration_connected", "integration_used" with provider name
2. Include contextual properties:
   • Feature name and category
   • Whether this is the first time the user used this feature
   • Time since last usage of this feature
   • Usage count (if tracking frequency)
3. Track milestone events:
   • "first_project_created", "tenth_report_generated"
   • "all_integrations_configured", "team_fully_onboarded"
   • "usage_milestone_reached" with milestone details

Product Page Monitoring

1. Use @PostHog/Track Page ViewName it "PostHog/Track Page View" and call it with @PostHog/Track Page View for key product pages
2. Focus on pages that indicate engagement:
   • Dashboard views (daily active usage signal)
   • Settings pages (configuration depth)
   • Feature-specific pages (adoption signals)
   • Help/docs pages (confusion signals)
3. Include properties:
   • Page section and subsection
   • Time on page (if available)
   • Navigation source (sidebar, search, notification)

Behavior-Based User Segmentation

1. Use @PostHog/Identify UserName it "PostHog/Identify User" and call it with @PostHog/Identify User to update segment properties based on observed behavior:
   • Power user: High feature adoption, frequent sessions, uses advanced features
   • Active user: Regular usage of core features
   • At-risk: Declining usage, fewer features used over time
   • New user: Recently signed up, still in onboarding
   • Churning: No activity for extended period
2. Set quantitative properties:
   • features_used_count: number of distinct features used
   • last_active_date: timestamp of most recent activity
   • session_count_30d: sessions in the last 30 days
   • onboarding_completion: percentage of onboarding steps done
3. Set qualitative properties:
   • user_segment: power_user, active, at_risk, new, churning
   • product_fit: based on which features they use
   • expansion_candidate: true/false based on usage patterns

Usage Intelligence

After tracking all events:

• Summarize which features the user engaged with
• Calculate a usage score based on breadth and depth of feature adoption
• Identify the user's behavioral segment
• Flag any usage patterns that indicate churn risk or expansion opportunity

Output

Product Usage Tracking Summary:

User Profile:

• Distinct ID: [user_id]
• Segment: [power_user/active/at_risk/new/churning]
• Features used: [count] of [total available]
• Usage score: [calculated score]

Feature Usage Events: | Event | Feature | Properties | First Use? | Status | |-------|---------|-----------|------------|--------| | [event] | [feature] | [key props] | [yes/no] | Sent |

Product Pages Viewed: | Page | Section | Properties | Status | |------|---------|-----------|--------| | [page] | [section] | [key props] | Tracked |

Milestones Reached:

User Properties Updated: | Property | Value | Reason | |----------|-------|--------| | user_segment | [segment] | [behavior evidence] | | features_used_count | [count] | [features list] | | last_active_date | [date] | [most recent event] |

Behavioral Insights:

• [1-2 sentence summary of usage patterns and segment assignment]
• Recommended next action: [retention play, expansion opportunity, or onboarding nudge]