> ## Documentation Index
> Fetch the complete documentation index at: /llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> Unified guide to the dashboards: activity, community & content, chat, video, and AI social insights—what each shows, when to use them, and how to interpret KPI families.

> [!NOTE]
>
> 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?

> **[Activity](/analytics-and-moderation/social+-portal/dashboard/activity-analytics.md)**
>
> User growth, retention, concurrency

> **[Social](/analytics-and-moderation/social+-portal/dashboard/social-analytics.md)**
>
> Community & content performance

> **[Chat](/analytics-and-moderation/social+-portal/dashboard/chat-analytics.md)**
>
> Messaging breadth & quality

> **[Live Stream](./video-analytics)**
>
> Livestream reach & watch time

> **[AI Insights](/analytics-and-moderation/social+-portal/dashboard/social-insights.md)**
>
> Topics, sentiment, search insights

> **[Raw Export](/analytics-and-moderation/social+-portal/dashboard/raw-data-export.md)**
>
> Granular data extraction

## When to Use Which Dashboard

| Scenario | Go Here | Primary KPIs | Typical Action |
| - | - | - | - |
| Sudden user spike or dip | Activity | New / Returning Users, Concurrency | Validate campaign or investigate outage |
| A community declines | Social | Net Growth, Engagement Rate | Intervention (spotlight, moderation) |
| Chat feels noisy / spammy | Chat | Flagged Rate, MPAU (Message per Active User), Channel Concentration | Tighten limits, rebalance channels |
| Livestream buffering complaints | Video | Peak Concurrency, Avg Minutes / Viewer | Expand limits |
| Negative sentiment rising | AI Insights | Sentiment Score, Topic Skew | Root cause analysis & remediation ticket |
| Need custom cohort model | Raw Export | Event-level records | Build external analysis / ML |

## KPI Families

New users, channel creation, new livestreams, new chat senders.Returning Users, Active vs Inactive, 7d sender retention, viewer milestone retention.Comments/Post, Reactions/Message, Watch Minutes per Viewer, Chat + Reactions per Viewer.Reach, Impressions, Channel Concentration Index, Resolution Mix. Peak Hour Factor, Peak Concurrency headroom.Flagged Messages, Flagged Rate, Flagged Items (video), Moderation backlog aging.Sentiment Score, Topic Share %, Gap Index, Negative Theme Count.

## Navigation & Filters

> **Date Range**
>
> All dashboards default to a rolling 30 days; adjust for weekly vs monthly analysis.

> **Segmentation**
>
> Common filters: date, category, platform, community, topic (AI Insights), channel type (Chat), stream host (Video).

> **Community & Topic Filters**
>
> Intersect topics with specific communities to localize emerging issues—maintain an unfiltered baseline tab for relative deltas.

> **Cohort Views**
>
> Use new vs returning segmentation (Activity) and newly activated chat senders (Chat) to isolate onboarding health.

> **Volume Guardrails**
>
> 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

| Domain | KPI | Definition | Why It Matters | Common Trigger |
| - | - | - | - | - |
| Activity | Returning Users % | Returning / Active | Stickiness | % drops >5pts w/w |
| Activity | Peak Concurrency | Max simultaneous connections | Capacity risk | >80% provisioned |
| Social | Engagement Rate | (Comments + Reactions)/Posts | Quality over volume | Below target band |
| Social | Net Community Growth | Joins - Leaves | Community health | Negative 3+ days |
| Chat | MPAU | Messages / Unique Senders | Power user dependence | Sharp rise + flat senders |
| Chat | Flagged Rate | Flagged / Messages | Safety cleanliness | Above threshold |
| Video | Avg Min / Viewer | Minutes Watched / Unique Viewers | Retention depth | \< baseline -15% |
| AI Insights | Sentiment Score | Net polarity −100 to +100 (0 = balanced) | Morale / satisfaction | Drop >5 pts d/d |
| AI Insights | Gap Index (Top) | Weight (search vol vs coverage) | Self-service opportunity | Top unchanged 2 cycles |

## Governance & Best Practices

> **Benchmark Discipline**
>
> Capture baselines before launching growth experiments to avoid attribution confusion.

> **Anomaly Triage Path**
>
> Quantitative spike → filter segmentation → AI Insights for qualitative root cause → action ticket.

> **Avoid Vanity Metrics**
>
> Prefer rate & quality ratios (engagement per creator) over raw volume for decisions.

> **Sample Size Checks**
>
> Do not act on filtered sentiment if mention count below reliability threshold (define per tenant).

> **Operational Cadence**
>
> Daily (safety & anomalies), Weekly (retention & quality), Monthly (cohort & strategy), Quarterly (benchmarks recalibration).

> [!NOTE]
>
> Need custom composite KPIs or direct warehouse sync? Contact support for advanced analytics enablement options.


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