Community Health Grower

community-health-grower

Agent: Community Manager

L2 community manager responsible for extracting community signals, designing community-led growth, building the early community, and maintaining community health.

Department ethos: ideal-marketing.md Tool policy: allowed-tools.yaml

Skill Description

Monitors and grows community health metrics including activity, retention, and sentiment to sustain a thriving member base.

When to Use

• When community engagement metrics (DAU, MAU, posts per member) are declining or stagnating.
• When leadership requests a health assessment before making community investment decisions.
• When member sentiment shifts negatively and the root cause is unclear.
• When onboarding a new cohort of members and needing to establish retention benchmarks.

Workflow

1. Define health dimensions: Use the five-dimension health model (activity, retention, sentiment, content quality, growth) to select the metrics relevant to this community stage. Reference: framework.md. Deliverable: health scorecard framework.
2. Collect baseline data: Pull current values for each metric from community platform analytics, survey tools, and conversation analysis. Compare against thresholds in the framework. Deliverable: baseline snapshot document.
3. Diagnose gaps: Compare baselines against green/yellow/red thresholds and historical trends to identify the largest health gaps. Deliverable: prioritized gap list with severity ratings.
4. Design interventions: For each top gap, select the appropriate intervention from the intervention playbook in the framework (e.g., welcome sequence for retention, prompt threads for activity, moderation policy for sentiment). Deliverable: intervention plan with owners, timelines, and expected impact.
5. Implement and track: Execute interventions and set up recurring measurement cadence per the framework's measurement schedule. Deliverable: live health dashboard and weekly trend report.
6. Report outcomes: Compile results using the community-health-report-template.md. Summarize metric changes, attribute to interventions, and recommend next cycle actions. Deliverable: health growth report.

Anti-Patterns

• Vanity metric fixation: Optimizing total member count while ignoring active participation rates. Why: A large but disengaged community is more expensive to maintain and less valuable than a smaller active one.
• Intervention overload: Launching multiple health initiatives simultaneously without controls. Why: Makes it impossible to attribute which intervention drove which metric change, wasting future optimization effort.
• Ignoring qualitative signals: Relying solely on quantitative dashboards without reading actual conversations. Why: Numbers lag behind sentiment shifts that are visible in tone and topic changes weeks earlier.

Output

On success: Produces a community health report containing baseline metrics, gap analysis, intervention results, and next-cycle recommendations. Delivered as a shared document to community and marketing leadership.

On failure: Report which metrics could not be collected, what data sources were unavailable, and recommend alternative measurement approaches. Every error must be actionable.

Related Skills

• community-signal-extractor — Signals extracted from conversations feed directly into health sentiment analysis.
• early-community-builder — Health benchmarks established here inform early community building targets.
• community-led-growth-designer — Growth strategies must account for current health metrics to avoid scaling an unhealthy community.