Lifecycle States
Understanding the 9 lifecycle states, how transitions work, and what they mean for your community
State Transition Flow
Typical Member Journey
Churn Path
Recovery Path
Note
The 7-Layer Decision Engine
Each compute cycle, every member passes through seven evaluation layers in order. The first layer that produces a definitive result determines the state:
Handles absolute conditions: members inactive beyond the lost threshold are forced to Lost, beyond dormancy threshold to Dormant. These override all other logic.
Checks days since last activity against configured thresholds. If inactive beyond the inactivity threshold, assigns At Risk or Fragile based on severity.
Detects when previously inactive members return. If recent activity is found for a member in a declining state, transitions to Revived to give them a fresh evaluation window.
Evaluates whether a member meets Core status: high health score, strong social connections, consistent activity over 30+ days, and top percentile engagement.
Checks health score against the engagement threshold to determine if a member qualifies as Active. Also evaluates trending direction to catch members who are declining from Active.
For newer members, evaluates onboarding progress. Members showing early engagement signals (first messages, voice, reactions) are assigned Activating.
Catch-all layer for members who don't clearly fit other states. Evaluates health trend direction — declining trends result in Drifting, rising trends in Activating.
Tip
lastExplanation. View it in the dashboard or via /lifecycle member to understand exactly why a member was assigned their current state.Confidence Bands
Every state assignment includes a confidence score (0.0 to 1.0) and a confidence band that tells you how reliable the assessment is:
Confidence below 25%
Not enough data to make a reliable assessment. Typically seen in the first 24-48 hours.
Confidence 25% - 50%
Some data available but limited. State may change significantly as more activity is observed.
Confidence 50% - 75%
Reasonable data coverage. State assignment is fairly reliable with some potential for adjustment.
Confidence above 75%
Strong data foundation. The state assignment is very likely accurate and stable.
Warning
Score Dimensions
Each member has multiple score dimensions that feed into the overall health score:
The primary composite score. Combines engagement, social, and consistency metrics into a single number that represents overall member health.
Measures activity volume and consistency: messages, voice time, reactions, and how evenly they're distributed over time.
Measures social integration: replies received, reactions from others, co-activity with other members, and reciprocity of interactions.
Measures the member's impact on the community: influence on others' activity, role level, channel diversity, and overall contribution breadth.
Aggregate risk level from all active risk families. Higher risk scores indicate more churn signals detected.
Combines importance and risk to identify which at-risk members deserve attention first. High-importance, high-risk members rank highest.
Tip