Command: run-member-insight-sprint

Inputs

• theme – focus topic (onboarding, ai-use-cases, integrations, advocacy, support).
• sample – member cohorts to include (champions, builders, execs, partners, lurkers).
• window – sprint duration (7d, 14d, 21d, custom).
• audience – comma-separated stakeholders for readout (product, marketing, cs, exec, community).
• evidence – optional list of threads, tickets, or recordings to ingest.

Workflow

1. Sprint Setup – define questions, sampling plan, and instrumentation across channels.
2. Signal Collection – launch prompts, AMAs, micro-surveys, and 1:1 interviews.
3. Tagging & Analysis – apply taxonomy for personas, drivers, sentiment, urgency.
4. Narrative & Actions – craft insight summary, quotes, data, and recommended actions per audience.
5. Follow-up & Routing – create action register, assign owners, and message members on outcomes.

Outputs

• Insight sprint report (deck/memo) with top findings, quotes, and metrics.
• Tagged dataset + member story snippets for reuse.
• Action tracker linking insights to owners, deadlines, and follow-up comms.

Agent/Skill Invocations

• member-insights-advocate – leads data capture, tagging, and storytelling.
• community-ecosystem-strategist – aligns insights to strategic priorities.
• community-insight-taxonomy skill – enforces tagging standards.
• closed-loop-community-playbook skill – manages routing + member follow-up.