gh-gtmagents-gtm-agents-plugins-community-orchestration/commands/measure-engagement.md

name, description, usage

name	description	usage
measure-engagement	Reviews community health metrics, sentiment, and experiment impact with recommended actions.	/community-orchestration:measure-engagement --window 30d --detail full --dimensions "channel,persona"

Command: measure-engagement

Inputs

• window – time horizon (7d, 30d, 90d) for analysis.
• detail – summary | full report depth.
• dimensions – optional breakdown (channel, persona, program, cohort).
• experiments – optional list of programs to analyze.
• alert_threshold – optional metric threshold for escalations.

GTM Agents Pattern & Plan Checklist

Mirrors GTM Agents orchestrator blueprint @puerto/plugins/orchestrator/README.md#112-325.

• Pattern selection: Engagement measurement typically runs pipeline (data → diagnostics → sentiment → experiment readouts → actions). If diagnostics + experiment analysis can run in parallel, log a diamond segment with merge gate in the plan header.
• Plan schema: Save .claude/plans/plan-<timestamp>.json capturing window, data feeds, task IDs, dependency graph (analytics, CRM, sentiment tools), error handling, and success metrics (engagement %, advocacy, risk volume).
• Tool hooks: Reference docs/gtm-essentials.md stack—Serena for schema diffs, Context7 for platform documentation/conversation exports, Sequential Thinking for insights review cadence, Playwright for verifying dashboard/report embeds.
• Guardrails: Default retry limit = 2 for failed data pulls or sentiment processing; escalation ladder = Community Analyst → Community Lead → CS/Product leadership.
• Review: Run docs/usage-guide.md#orchestration-best-practices-puerto-parity before execution to confirm inputs, dependencies, deliverables.

Workflow

1. Data Pull – aggregate platform analytics, CRM attribution, sentiment scores, and support signals.
2. Health Diagnostics – compute growth, activation, engagement, retention, and advocacy metrics by dimension.
3. Sentiment Review – scan community conversations, surveys, and NPS for emerging themes.
4. Experiment Readouts – evaluate running pilots against guardrails + KPIs.
5. Action Recommendations – produce prioritized playbook (content tweaks, ambassador outreach, escalations).

Outputs

• Community health dashboard snapshot with annotated insights.
• Sentiment + risk report referencing sentiment-analysis findings.
• Recommended action list with owners, deadlines, and expected impact.
• Plan JSON entry stored/updated in .claude/plans for audit trail.

Agent/Skill Invocations

• community-analyst – leads data aggregation and insights.
• sentiment-analysis skill – interprets qualitative signals and escalation needs.
• community-lead – receives action plan and drives follow-through.

GTM Agents Safeguards

• Fallback agents: document substitutes (e.g., Community Lead covering Analyst) when analysts unavailable.
• Escalation triggers: if engagement drops below alert_threshold twice or sentiment exposes severe risks, escalate via GTM Agents rip-cord to cross-functional leadership.
• Plan maintenance: update plan JSON/change log when data sources, thresholds, or reporting cadences change to maintain GTM Agents audit parity.

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