Example output · Community Manager AI
What the Community Health Report Generator actually produces
Takes raw community metrics, qualitative notes, and audience context, then structures them into a stakeholder-ready report with an executive headline, data analysis, qualitative theme synthesis, and prioritized action items with owners and timelines.
- Reporting Period:
- May 1–31, 2025 (Monthly)
- Community Context:
- Nova Dev Hub is a 12,000-member online community for mid-level and senior software engineers, hosted on Discord and a Discourse forum. The community is 18 months old, sponsored by Helix Software (B2B SaaS), and focuses on career growth, technical deep-dives, and peer mentorship. The community manager is Priya Nair. Primary goals: increase monthly active members by 10% QoQ and improve content engagement scores.
- Metrics Data:
- Total Members: 12,340 (+4.2% MoM) | Monthly Active Members (MAM): 3,812 (+6.8% MoM) | New Member Joins: 540 | 30-Day Retention Rate: 61% (+3 pts MoM) | Posts/Threads Created: 1,204 | Replies: 4,890 | Reactions/Likes: 9,102 | Avg. Daily Active Members: 427 | Top Channel by Activity: #career-advice (1,840 interactions) | Events Held: 4 (1 AMA, 1 workshop, 2 peer study groups) | Event Attendance (avg): 138 | NPS Score: +42 (up from +37 last month)
- Qualitative Notes:
- Members responded very positively to the AMA with Staff Engineer Maya Delacroix from Stripe — it drove the highest single-day engagement spike of the month (312 active members). The new #job-board channel launched mid-month and gained 200 followers in its first two weeks, but moderation workload increased noticeably. Several members in exit surveys mentioned the forum search functionality is frustrating. Two power users (devs "lkozlowski" and "tanaka_t") have expressed interest in becoming moderators. Onboarding DM open rate dropped to 48% (from 55% last month) — new members may not be seeing the welcome flow. A recurring feedback theme is that members want more hands-on coding challenges and less passive content.
- Audience:
- Internal stakeholders at Helix Software — including VP of Marketing Dana Whitfield and Head of Developer Relations Sam Okafor — plus the community management team
Nova Dev Hub is on a steady growth trajectory with meaningful early-stage momentum: membership increased 4.2% MoM, monthly active members grew 6.8%, and retention improved 3 points to 61%. The community exceeded its 10% QoQ growth target (June target tracking at ~7% so far), and NPS improved from +37 to +42. However, this growth is not uniform—engagement is concentrated in a narrow set of high-value activities (the Stripe AMA and #career-advice channel), while new member onboarding velocity has declined and moderation capacity is beginning to strain.
The quantitative picture shows healthy headline growth: 540 new joins, 3,812 monthly active members (+6.8%), and improved retention (+3 pts to 61%). Event attendance is strong (avg 138 per event; the Stripe AMA spike to 312 active members on a single day is the clearest signal of high-value content working). The #career-advice channel dominance (1,840 interactions out of ~15,000 total) and #job-board early adoption (200 followers in two weeks) indicate product-market fit in specific use cases. Critical instrumentation gaps: we are not tracking engagement quality (does a reaction equal a meaningful interaction?), cohort retention (are May joiners more or less sticky than March joiners?), or time-to-first-value for new members. The onboarding DM open rate drop (55% → 48%) is a red flag, but we cannot diagnose whether it's a technical issue, content relevance, or platform preference without session-level tracking. Recommendation: implement UTM-style campaign tracking on welcome flows and segment retention by join date to distinguish cohort quality from overall churn.
Three themes emerge that the headline metrics mask: (1) **Engagement is event-driven and hero-dependent.** The Stripe AMA created a 230% spike in daily active members—a strong signal that members value synchronous, expert-led content over async discussion. The decline in onboarding DM open rates suggests passive content (welcome flows) is less effective than structured, time-bound activities. (2) **Operational scaling is beginning to pinch.** The #job-board launch increased moderation workload noticeably; Priya's capacity to moderate three channels (career-advice, job-board, and the forum) while managing onboarding may be hitting a ceiling. The two power users (lkozlowski and tanaka_t) expressing moderator interest is timely—bringing them into the team before burnout occurs is a retention play for both Priya and the community. (3) **Product friction is silent but real.** Forum search functionality is cited as frustrating in exit surveys—members are leaving, not complaining in #feedback. This is a churn accelerant that does not show up in NPS or activity metrics until retention curves decline. (4) **Member demand is shifting toward hands-on activity.** Recurring feedback for coding challenges and workshops contradicts the current content mix (mostly passive peer advice). The 4 events held in May (1 AMA, 1 workshop, 2 study groups) suggests we are under-indexing on the content type members want.
[ { "action": "Recruit and onboard lkozlowski and tanaka_t as moderators for #job-board and forum respectively.", "owner": "Priya Nair", "timeline": "Complete by June 15", "expectedOutcome": "Distribute moderation load across 3 people instead of 1; unblock Priya to focus on programming (events, content strategy) rather than triage. Secondary outcome: retain two power users who might otherwise deprioritize the community." }, { "action": "Audit and fix the onboarding DM campaign (check delivery rate, preview content, test click-through on welcome message).", "owner": "Priya Nair + Engineering (if technical issue)", "timeline": "Diagnose by June 7, implement fix by June 20", "expectedOutcome": "Restore DM open rate to 55%+ and measure correlation with 30-day retention. If the drop is due to message fatigue rather than delivery, test a single-message onboarding flow vs. the current multi-step sequence." }, { "action": "Commission a forum search UX review and prioritize a fix for the top 3 search friction points (likely: fuzzy matching, result ranking, or filter visibility).", "owner": "Sam Okafor (Dev Relations) + Product team", "timeline": "Audit by June 10, implement by July 31", "expectedOutcome": "Reduce churn from forum users and improve NPS for members who rely on archived content. Track forum search volume and satisfaction (via post-search survey) as a leading indicator of content discoverability." }, { "action": "Schedule 2 additional hands-on coding challenge sessions or live workshops in June to meet stated member demand.", "owner": "Priya Nair", "timeline": "Launch first challenge by June 15, second by June 30", "expectedOutcome": "Test whether synchronous, interactive content lifts engagement scores and MAM growth. Use attendance and post-event NPS delta to decide if this becomes a recurring program. Benchmark against the May AMA spike (312 peak attendees) to see if coding challenges drive similar or higher engagement." }, { "action": "Instrument new member cohort retention and engagement quality (track: time to first reply, replies to own posts, vs. passive reactions; segment 30-day retention by join month).", "owner": "Analytics + Priya Nair", "timeline": "Implement tracking by June 20", "expectedOutcome": "Separate cohort quality from churn noise and validate whether new members are becoming active contributors or staying passive. This will clarify whether the 6.8% MAM growth is driven by a larger funnel or by better activation, and inform investment in onboarding vs. content." } ]
Replace the sample community name, member counts, channel names, event details, and qualitative notes with your own data. Update the audience field to match who will actually receive the report, since the tone and emphasis adjust based on that context.
Human review: Verify that all figures, ownership assignments, and timelines in the output match your actual data before sharing with stakeholders — the tool interprets the numbers you provide but cannot catch input errors or organizational context it was not given.
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