Swiftask turns your Fullstory data into intelligent alerts. Detect friction, bugs, or drop-offs and trigger immediate action.
Result:
Don't suffer from errors. Get alerted and act before your customers leave your platform.
Late detection of Fullstory issues is costly
Manually monitoring Fullstory is impossible. Product and support teams spend hours navigating sessions, often missing weak signals of technical bugs or customer frustration until it's too late.
Main negative impacts:
Swiftask connects Fullstory to your business and management tools. As soon as a critical segment is reached or a console error is detected, your AI agent analyzes the context and alerts the relevant team.
BEFORE / AFTER
What changes with Swiftask
Slow manual process
A customer encounters a JavaScript error. Support receives a ticket, forwards it to engineering. The engineer has to hunt through Fullstory to reproduce the bug. Meanwhile, the customer is frustrated.
Swiftask automation
Fullstory detects the error. Swiftask receives the event, extracts the session link and contextual data, and sends an enriched alert with pre-analyzed diagnostics to Slack or Teams.
Deploying your intelligent alerts
STEP 1 : Define your critical segments
Configure your segments in Fullstory based on behaviors (e.g., rage clicks, console errors).
STEP 2 : Connect Fullstory to Swiftask
Use Fullstory webhooks to send events from your segment to your Swiftask AI agent.
STEP 3 : Configure intelligent routing
Tell Swiftask which channel to notify and what data to include in the alert to assist with resolution.
STEP 4 : Enable automated response
Add automatic actions, such as creating a pre-filled Jira ticket with the session link.
Advanced alerting capabilities
Your agent analyzes error volume, revenue impact (via tagging), and per-user recurrence.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-fullstory@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.
Why automate Fullstory
1. Reduced MTTR
Resolution time is cut in three thanks to direct access to the faulty session.
2. Bug prioritization
Focus on the errors that affect the largest number of users.
3. Superior customer experience
Solve issues before the customer even needs to contact support.
4. Data-driven culture
Every product decision is backed by visual evidence from Fullstory.
5. Productivity gains
Automate data collection to allow your engineers to code, not search.
Privacy and compliance
Swiftask applies enterprise-grade security standards for your fullstory automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your performance
| Metric | Before | After |
|---|---|---|
| Detection time | Several hours (manual) | Seconds |
| Churn reduction | High (unresolved errors) | Measurable decrease (-15%) |
| Support efficiency | Manual triage time | AI-powered automated triage |
| Engineering focus | Reactive | Proactive bug management |
Take action with fullstory
Don't suffer from errors. Get alerted and act before your customers leave your platform.