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Use the Dashboard suite to answer three core questions: (1) Are we growing & retaining healthy users? (2) Is engagement deep, distributed, and safe across social, chat, and video surfaces? (3) What qualitative themes & gaps explain quantitative changes?

When to Use Which Dashboard

ScenarioGo HerePrimary KPIsTypical Action
Sudden user spike or dipActivityNew / Returning Users, ConcurrencyValidate campaign or investigate outage
A community declinesSocialNet Growth, Engagement RateIntervention (spotlight, moderation)
Chat feels noisy / spammyChatFlagged Rate, MPAU (Message per Active User), Channel ConcentrationTighten limits, rebalance channels
Livestream buffering complaintsVideoPeak Concurrency, Avg Minutes / ViewerExpand limits
Negative sentiment risingAI InsightsSentiment Score, Topic SkewRoot cause analysis & remediation ticket
Need custom cohort modelRaw ExportEvent-level recordsBuild external analysis / ML

KPI Families

  • Acquisition
  • Retention
  • Engagement Depth
  • Distribution
  • Quality & Performance
  • Safety & Compliance
  • Qualitative Drivers
New users, channel creation, new livestreams, new chat senders.
All dashboards default to a rolling 30 days; adjust for weekly vs monthly analysis.
Common filters: date, category, platform, community, topic (AI Insights), channel type (Chat), stream host (Video).
Intersect topics with specific communities to localize emerging issues—maintain an unfiltered baseline tab for relative deltas.
Use new vs returning segmentation (Activity) and newly activated chat senders (Chat) to isolate onboarding health.
Treat insights as directional if filtered mention volume or event counts fall below internal reliability thresholds.

Quick Start (First Week)

1

Establish Baselines

Record medians for core KPI families (growth, engagement, quality, safety).
2

Set Thresholds

Define alert bands (e.g., ±1.5 IQR for retention & engagement rate).
3

Map Ownership

Assign metric families to responsible roles (Growth, Community Ops, Safety, Video Ops).
4

Create Weekly Ritual

15‑minute review using Activity → Social → Chat → Video → AI Insights sequence.
5

Instrument Feedback

Log every remediation with date + responsible owner to tie changes back to movement.

Core KPI Snapshot Reference

DomainKPIDefinitionWhy It MattersCommon Trigger
ActivityReturning Users %Returning / ActiveStickiness% drops >5pts w/w
ActivityPeak ConcurrencyMax simultaneous connectionsCapacity risk>80% provisioned
SocialEngagement Rate(Comments + Reactions)/PostsQuality over volumeBelow target band
SocialNet Community GrowthJoins - LeavesCommunity healthNegative 3+ days
ChatMPAUMessages / Unique SendersPower user dependenceSharp rise + flat senders
ChatFlagged RateFlagged / MessagesSafety cleanlinessAbove threshold
VideoAvg Min / ViewerMinutes Watched / Unique ViewersRetention depth< baseline -15%
AI InsightsSentiment ScoreWeighted polarity 0–100Morale / satisfactionDrop >5 pts d/d
AI InsightsGap Index (Top)Weight (search vol vs coverage)Self-service opportunityTop unchanged 2 cycles

Governance & Best Practices

Capture baselines before launching growth experiments to avoid attribution confusion.
Quantitative spike → filter segmentation → AI Insights for qualitative root cause → action ticket.
Prefer rate & quality ratios (engagement per creator) over raw volume for decisions.
Do not act on filtered sentiment if mention count below reliability threshold (define per tenant).
Daily (safety & anomalies), Weekly (retention & quality), Monthly (cohort & strategy), Quarterly (benchmarks recalibration).
Need custom composite KPIs or direct warehouse sync? Contact support for advanced analytics enablement options.