Enable proactive notifications with Countly and Swiftask
Swiftask turns your Countly insights into automated alerts. Stop watching dashboards and receive critical information instantly.
Result:
Increase responsiveness and reduce product anomaly detection time.
AI Agents
countly
Connector countly · Secure OAuth 2.0
Manual data monitoring limits your agility
Spending time refreshing Countly to monitor metrics is inefficient. Product teams miss weak signals due to a lack of constant attention.
Main negative impacts:
Delayed incident detection
A drop in conversion or a critical bug is spotted too late because no one was checking the dashboard at that moment.
Cognitive overload
Manually analyzing data volumes to extract actions consumes valuable energy.
Data inactionability
Data remains in Countly without being communicated to the right people at the right time.
Swiftask connects Countly to your communication channels. As soon as a threshold is reached or an anomaly is detected, the AI agent notifies you immediately.
BEFORE / AFTER
What changes with Swiftask
Traditional workflow
An analyst checks Countly daily, exports data, compares it, then writes an email to warn the technical team. The process takes hours.
Automation with Swiftask
As soon as a metric exceeds your thresholds in Countly, the Swiftask agent analyzes the situation and sends a contextual alert to Slack or Teams.
Setting up your intelligent alerting in 4 steps
1
STEP 1 : Define target metrics
Identify in Swiftask which Countly events require immediate attention.
2
STEP 2 : Configure Countly connector
Establish a secure link between your Countly instance and Swiftask.
3
STEP 3 : Set trigger rules
Define the thresholds or patterns that will trigger the notification.
4
STEP 4 : Activate alerts
Your agent is ready. It monitors your data and alerts you in real time.
Analysis and notification capabilities
The agent processes raw Countly data to extract trends and significant variations.
- Target connector: The agent performs the right actions in countly based on event context.
- Automated actions: Multi-channel alert sending, automated performance summaries, user behavior anomaly detection, periodic reporting.
- Native governance: All notifications are archived for performance tracking.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-countly@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Operational benefits of automation
Instant response
Act on data as soon as it becomes available.
Focus on analysis
Let the agent handle monitoring, focus your time on strategy.
Increased transparency
The whole team is informed of key metric changes.
Data governance
Ensure traceability of sent alerts.
Scalability
Monitor hundreds of metrics without extra effort.
Security and compliance commitment
Swiftask applies enterprise-grade security standards for your countly automations.
- Data encryption: Countly to Swiftask streams are secured via TLS.
- Access control: Granular management of data access permissions.
- Compliance: Strict adherence to data protection standards.
- Open architecture: Flexible integration without proprietary dependency.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your analytical performance
| Metric | Before | After |
|---|---|---|
| Detection delay | Several hours | A few seconds |
| Analysis time | Manual (weekly) | Automated (real-time) |
Take action with countly
Increase responsiveness and reduce product anomaly detection time.