What alerts monitor
raum supports two categories of alerts: Metric-based alert rules watch your aggregated support metrics and fire when a threshold is crossed:- CSAT score drops below a defined level
- Bad rating rate exceeds a defined percentage
- AI confidence score falls below a threshold (a leading indicator that your procedures need updating)
- Ticket volume spikes above a defined count within a time window
Alert rule types
CSAT drop
Fires when your average CSAT score falls below a threshold you set. Configure the threshold as a percentage and the measurement window (for example, last 24 hours or last 7 days).
Bad rating rate
Fires when the proportion of negative ratings exceeds a defined percentage. Useful for catching a sudden influx of dissatisfied customers before your overall CSAT is significantly affected.
Low AI confidence
Fires when the AI’s average confidence score drops below a threshold. This typically means new ticket types are arriving that your procedures don’t cover well — a leading indicator before CSAT suffers.
Volume spike
Fires when ticket volume exceeds a count within a time window. Use this to get ahead of incident-driven surges so you can activate additional agents or prepare a temporary update.
Content pattern
Matches keywords or phrases in incoming ticket content. Fires whenever a matching ticket arrives. Configure multiple patterns per alert rule.
Creating an alert
Alert rules are configured at/dashboard/alerts-content.
Open alerts configuration
Navigate to
/dashboard/alerts-content in your dashboard. You’ll see your existing alert rules and a button to add a new one.Choose the alert type
Select the metric or content type you want to monitor. For metric-based alerts (CSAT, bad rating rate, confidence, volume), you’ll set a threshold and a measurement window. For content-based alerts, you’ll enter the patterns to match.
Set the threshold or patterns
For metric alerts, enter the threshold value. For example, to alert when CSAT drops below 80%, set the threshold to 80. For content alerts, enter the keywords or phrases — one per line. Matching is case-insensitive.
Configure the cooldown
Set a cooldown period to prevent alert spam. The cooldown is the minimum time between two alerts of the same rule. For example, a 4-hour cooldown means you’ll receive at most one notification per rule every 4 hours, even if the threshold remains exceeded.
Alert cooldowns
Without cooldowns, a sustained threshold violation would generate a continuous stream of notifications. The cooldown period ensures each alert rule fires at most once per interval, regardless of how many threshold-crossing events occur.How cooldowns work
How cooldowns work
When an alert fires, raum records the timestamp. The rule is suppressed until the cooldown period elapses. After the cooldown, if the condition is still met, the alert fires again. This means you stay informed without being flooded.
Choosing the right cooldown
Choosing the right cooldown
For CSAT and confidence alerts, a 4–8 hour cooldown is usually appropriate — long enough to avoid noise, short enough to re-alert if a problem persists into the next shift. For volume spikes caused by incidents, a shorter cooldown (30–60 minutes) may make sense so you get reminded if the spike continues.
Content alerts and cooldowns
Content alerts and cooldowns
Content-based alerts can fire very frequently if a common phrase is matched. Set a meaningful cooldown unless you genuinely want per-ticket notification. For critical patterns (legal language, urgent safety issues), a short cooldown or no cooldown may be appropriate.
How alerts are delivered
When an alert fires, raum records the event and delivers a notification. The notification includes:- The alert rule name
- The metric value or matched content that triggered it
- A timestamp
- A link to the relevant dashboard section
Notification delivery channels (email, Slack, webhook) depend on your plan and notification settings. Configure your preferred channels in
/dashboard/settings.