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Use this dashboard to understand how communities, posts, comments, and reactions are performing so you can amplify healthy spaces and intervene in declining ones.

Community Activity

Daily content & membership flow

Top Communities

High-performing spaces leaderboard

Growth vs Churn

Net member trajectory

Engagement Quality

Comments & reactions per post

Reach & Impressions

Content visibility efficiency

Content Velocity

New post creation momentum

Daily Operational Workflow

1

Set Filters

Choose date range, segment (e.g., product line or region), and optionally exclude internal/test communities.
2

Scan Activity Stack

Identify abrupt shifts in posts, comments, reactions, joins, or leaves vs prior days.
3

Review Net Growth

Check join vs leave differential—flag communities with negative multi-day streak.
4

Open Top Communities

Sort by engagement rate (not just raw posts) to find quality leaders.
5

Inspect Decliners

Communities with falling posts AND rising leave count—drill in for cause.
6

Check Reach vs Impressions

Validate distribution fairness—avoid over-saturation of a narrow audience.
7

Action & Log

Document interventions (feature, moderation, spotlight) and set a follow-up review date.

Community Filtering

Filter analytics to a specific community to isolate engagement, growth, and content patterns—helping you diagnose whether trends are platform-wide or community-specific.

Why Filter by Community?

  • Identify which communities drive or drag overall metrics
  • Diagnose localized issues vs platform-wide trends
  • Compare individual community performance against baseline
Widget Top Communities and Reach and Impression will always show data for all communities, even when a specific community is selected in the filter.

How to Apply

1

Select Community

Open the community dropdown and choose one community from the list.
2

Review Metrics

Compare filtered metrics (posts, engagement rate, net growth) against your unfiltered baseline.
3

Take Action

If metrics diverge significantly, investigate community-specific content, moderation, or member composition.
Analytics shows data for one community at a time. To compare multiple communities, filter each separately and record results.

Modules & Interpretation

Community Activity Overview (Stacked Bars)

Shows aggregate daily counts for: Posts, Comments, Reactions, Members Joined, Members Left. Look for proportion shifts (e.g., comments dropping relative to posts may indicate lower discussion depth).

Top Communities Table

Leaderboard with: Posts, Comments, Reactions, Members Joined, Members Left, Engagement Rate. Use relative KPI columns rather than just raw counts to avoid bias toward largest audience spaces.

Reach & Impression Graph

Reach = unique users exposed. Impressions = total displays. High impressions with flat reach suggests repeated exposure to same users; rotate content spots to counter fatigue.

Growth & Churn

Joined vs Left provides directional community health. Persistent churn outpacing joins → investigate content relevance, governance friction, or onboarding gaps.

Content Velocity

Rate of new posts per active community. Helps detect stagnation or spam bursts. Sudden spike unaccompanied by reactions/comments may indicate low-quality or automated posting.

Metrics & Formulas

Growth & Engagement Lenses

Focus on joins trend vs campaigns

Benchmark Strategy

Record metrics across first stable 2–4 weeks to establish internal benchmarks.
Use rolling median + standard deviation for anomaly detection (e.g., trigger if metric < median -1.5σ).
Adjust comparisons for known weekly cycles (weekend dips, Monday surges).
Segment by community age buckets (<30d, 30–90d, >90d) to avoid maturity skew.
Require Engagement Rate above minimum before featuring a community.

Early Warning Signals

Posts rising while comments/post falling → encourage prompts/questions formatting.

Troubleshooting

Activity Analytics

User-level activity KPIs

AI Social Insights

Qualitative topic & sentiment

Raw Data Export

Deeper custom queries
Need custom derived metrics (e.g., weighted engagement index)? Contact support for data extensibility options.