Dashboard Guide

Navigate the MLI web dashboard to monitor member health, track risks, and manage your community retention strategy

👑 Pro

Accessing the MLI Dashboard

1

Open Your Server Dashboard

Navigate to your SYNTHET dashboard and select your server from the server list.

2

Find Member Lifecycle in the Sidebar

In the left sidebar, look for "Member Lifecycle" under the modules section. Click it to open the MLI dashboard.

3

Ensure MLI is Enabled

If MLI isn't enabled yet, go to the Modules page first and toggle the MLI module on. You'll need the Pro tier for this feature.

Note

The MLI dashboard updates in real-time when you click the refresh button. Data reflects the latest compute cycle — if you just enabled MLI, give it a few minutes to complete the initial member sync and first computation.

Overview Tab

The Overview tab is your at-a-glance view of community health. It's divided into several panels:

KPI Cards

Four cards at the top show your key metrics:

Tracked Members

Total members MLI is monitoring in your server.

Avg Health Score

The average health score across all tracked members. A healthy community typically scores 50+.

Critical Members

Members in Fragile, At Risk, or Dormant states who need attention.

New Members (7d)

Members who joined in the last 7 days — your active onboarding pipeline.

Score Bars

Three horizontal progress bars show aggregate scores:

Engagement Score — Average engagement across all members. Higher = more active community.

Social Score — Average social integration. Higher = members are well-connected.

Risk Score — Average risk level (inverted display). Lower = healthier community.

State Distribution Chart

A horizontal bar chart showing how many members are in each lifecycle state. Color-coded bars make it easy to see the balance between healthy states (green) and at-risk states (red/orange).

Tip

A healthy community has the majority of members in Active and Core states, with a small onboarding pipeline in New/Activating and minimal members in critical states. If your Dormant/Lost bars are growing, it's time to focus on retention.

Top Active Risks

Lists the most common risk families detected across your community, with severity indicators and affected member counts. This helps you identify systemic issues — for example, if many members show "Inactivity Drift," your community may need more engaging content or events.

Recent State Changes

A timeline of the most recent state transitions: who changed state, what they moved from/to, when it happened, and their current health score. This is invaluable for spotting trends — if you see several members dropping to At Risk on the same day, something may have happened in your community.

Members Tab

The Members tab provides a full sortable, filterable table of all tracked members with their lifecycle data.

Filtering & Sorting

State Filter

Filter by "All States", "Critical" (shows Fragile, At Risk, Dormant combined), or any individual state. Use "Critical" for your daily check-in to focus on members who need attention.

Sort Options

Sort by Priority Score, Health Score, Risk Score, Engagement Score, or Last Active. Priority Score (default) surfaces the members who are most important AND most at-risk.

Table Columns

User ID — The Discord user identifier.

State — Color-coded badge showing the current lifecycle state.

Health — Overall health score as a percentage with color coding (green > 60, yellow 30-60, red < 30).

Engagement — Engagement score percentage.

Risk — Risk score percentage (higher = worse, inverted color: red = high risk).

Trend — Arrow icon showing the health trend direction: rising, stable, or declining.

Active Risks — Tags showing detected risk families (up to 3 shown). Hover for details.

Last Active — When the member was last active in your server.

Tip

Set the state filter to "Critical" and sort by Priority Score (desc) for your daily retention check-in. This gives you a prioritized list of your most important at-risk members — the ones where intervention will have the biggest impact.

Risks Tab

The Risks tab gives you a detailed view of all active risk detections across your community.

Risk Family Distribution

A bar chart showing the count of each risk family type (Inactivity Drift, Engagement Cliff, Social Isolation, Rapid Decline, Ghost Pattern). This helps you understand the dominant churn patterns in your community.

Risk Details Table

User ID — The affected member.

Risk Family — The type of risk detected.

Severity — How severe the risk is (low/medium/high/critical), color-coded.

Confidence — How confident MLI is in this risk detection.

Explanation — A human-readable description of why this risk was flagged.

Detected — When the risk was first identified.

Warning

Risks with Insufficient confidence may be false positives, especially for newer members. Focus your attention on risks with Moderate or higher confidence and high or critical severity.

Best Practices

1.
Daily Check-in Routine

Start each day by opening the Overview tab. Check the average health score trend, scan the recent state changes for any concerning transitions, and review the top active risks.

2.
Prioritize with Priority Score

Don't try to save everyone at once. Use the Members tab sorted by Priority Score to focus on high-importance, high-risk members first — they have the biggest impact on your community if they churn.

3.
Monitor Onboarding

Use /lifecycle new-members weekly to track onboarding success. If most new members stay in NEW without activating, your onboarding flow needs work.

4.
Set Up Intervention Alerts

Enable interventions and set an alert channel so you get real-time notifications when members enter critical states. This lets your mod team react quickly instead of waiting for manual checks.

5.
Look for Patterns in Risks

If the Risks tab shows many members with "Social Isolation," consider creating more community bonding activities. If "Engagement Cliff" is common, investigate what might be causing sudden disengagement.

6.
Trust the Confidence Bands

Don't overreact to LOW or Insufficient confidence assessments. Give MLI time to gather data — assessments become significantly more accurate after 7-14 days of continuous operation.