audience-analyzer

name	audience-analyzer
description	Segments community members by activity level, tenure, interests, and engagement patterns. Identifies lurkers, new members, contributors, power users, and alumni. Returns CSV export with member lifecycle stage, at-risk flag, and recommended next action.
allowed-tools	WebSearch, WebFetch, Write
effort	medium

When to activate

Run weekly or whenever membership growth stalls. Before planning retention campaigns, targeted re-engagement, or moderation reviews. Essential input to /analyze-community command.

When NOT to use

Not for individual member profiling without consent. Not as a surveillance tool. Not to shadowban or penalize members for low activity without human review. This is purely diagnostic and action-informing.

Analysis Checklist

Execute in order:

1. Import member data — Get member list with: join_date, last_activity_date, post_count, comment_count, thread_starts, event_rsvps, profile_completeness
2. Segment by lifecycle stage — Classify each member using the Member Lifecycle Segments matrix (Lurker → New → Contributor → Power User → Alumni)
3. Calculate activity score — Sum: (post_count × 1) + (comment_count × 0.5) + (thread_starts × 2) + (event_attendance × 3) for a 0–100 scale
4. Identify at-risk members — Flag members with: (a) no activity in 14+ days, (b) last_activity was critical/negative moderation, (c) response rate to DMs <50%, (d) joining interest shift (e.g., role changed)
5. Score engagement velocity — Calculate 30-day activity trend: is member ramping up, plateauing, or declining?
6. Identify power users — Members with activity_score >75 or 50+ total posts who are active at least weekly
7. Calculate community health — % in each segment, average response time to new posts, engagement gap (active / total)
8. Generate recommendations — Suggest specific re-engagement campaigns, mentorship matchings, or escalations

Segment Definitions

Use exact criteria:

Segment	Criteria	Action
Lurker	joined 2+ weeks ago, 0 posts, reads only	Send onboarding re-offer; offer low-barrier first post prompt
New Member	joined <7 days ago OR <5 total posts	Welcome sequence; channel tour; intro thread
Contributor	5–50 total posts, active in past 7 days	Feature content; invite to AMAs; recognize publicly
Power User	50+ total posts, 2+ posts/week average	Offer moderator role; gather feedback; feature prominently
Alumni	0 activity in 30+ days	Winback campaign; survey on why they left; offer to return

Output Format

Save as community/member-analysis-{date}.csv:

member_id,username,join_date,activity_score,lifecycle_stage,posts,comments,threads,events,last_active,days_inactive,at_risk_flag,engagement_velocity,recommended_action
1,jane_smith,2025-11-15,82,Power User,56,142,8,3,2026-06-12,0,false,+12%,Recognize in newsletter
2,alex_doe,2026-05-01,18,New Member,3,2,0,0,2026-06-11,1,false,+8%,Invite to intro thread
3,bob_wilson,2025-08-22,12,Lurker,0,0,0,0,2025-11-30,195,true,0%,Onboarding re-engage

Segment Summary Report

Include in output:

# Community Audience Analysis — [DATE]

**Total Members:** X
**Active Members (WAU):** X (Y%)
**Engaged Members (CAU):** X (Y%)

## By Lifecycle Stage

- **Lurkers:** X (Y%) — [Insight]
- **New Members:** X (Y%) — [Insight]
- **Contributors:** X (Y%) — [Insight]
- **Power Users:** X (Y%) — [Insight]
- **Alumni:** X (Y%) — [Insight]

## At-Risk Alerts

- [Count] members inactive 14+ days
- [Count] members with negative recent moderation
- [Count] members showing declining activity velocity

## Recommendations

1. [Specific action for largest at-risk segment]
2. [Specific action to accelerate contributor→power user conversion]
3. [Specific action to re-engage alumni]

Example

Community Audience Analysis — June 12, 2026

Total Members: 4,285 Active Members (WAU): 1,247 (29%) Engaged Members (CAU): 847 (20%)

By Lifecycle Stage

• Lurkers: 1,876 (44%) — Growing silent onboarding problem. New members not getting activated.
• New Members: 612 (14%) — On-ramp working; 38% converting to Contributor within 30 days.
• Contributors: 547 (13%) — Stable; good retention to Power User.
• Power Users: 178 (4%) — Highly engaged; retention 94% month-to-month.
• Alumni: 72 (2%) — 42 inactive 30+ days; 30 inactive 90+ days.

At-Risk Alerts

• 128 members inactive 14+ days
• 8 members with negative recent moderation (not yet removed)
• 43 members showing declining activity velocity (month-over-month drop >30%)

Recommendations

1. Activate Lurkers: Launch "First Post Fridays" challenge. Low-barrier prompt each Friday with recognition for first-time posters. Target: convert 20% of lurkers to contributors in 8 weeks.
2. Accelerate Contributor→Power User: Identify 15 contributors with growth trajectory; invite to internal Discord for feature feedback and content collaboration.
3. Re-engage Alumni: Winback email to 72 inactive members. Survey top 20 on why they left. Results inform product/moderation changes.

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