Swiftask connects your Fullstory data to an analytical intelligence. Receive synthetic reports on user experience, directly in your workflow tools.
Result:
Save hours of weekly analysis and instantly identify friction points in your conversion funnel.
Manual Fullstory data analysis slows down decision-making
Fullstory generates massive amounts of user behavior data. Extracting, filtering, and synthesizing this information into actionable reports takes significant time. Too often, insights sit dormant in the tool instead of driving your product strategy.
Main negative impacts:
Swiftask automates the extraction and synthesis of your Fullstory data. Your AI agent processes key events, writes executive summaries, and distributes them to stakeholders.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
On Monday morning, an analyst logs into Fullstory, filters the last 7 days of sessions, exports the data, cleans the Excel file, and writes an email report. A time-consuming routine that demotivates teams.
With Swiftask + Fullstory
Swiftask queries Fullstory daily. The AI agent detects conversion anomalies, prepares a contextual report, and sends it automatically to Slack or email. Information arrives before you even ask for it.
Deploying your Fullstory reporting in 4 steps
STEP 1 : Configure the analysis agent
Create your agent in Swiftask and define the Fullstory metrics to monitor (e.g., rage clicks, funnel drop-offs).
STEP 2 : Secure API connection
Connect Swiftask to your Fullstory account via your API key. Data is processed securely.
STEP 3 : Define synthesis rules
Determine the output format: daily report, emergency alert, or weekly summary via email.
STEP 4 : Automate the workflow
The agent runs according to the defined schedule. Your reports are ready and distributed without any manual intervention.
What your Fullstory AI agent can do
The agent correlates session data with your business goals, identifying major trends and isolated anomalies.
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 your reporting with Swiftask
1. Major productivity boost
Eliminate repetitive tasks of collecting and formatting data.
2. Data-driven decisions
Receive clear, actionable insights to guide your product roadmap.
3. Increased reactivity
Detect user experience issues as they happen, not after the fact.
4. Democratization of insights
Share Fullstory findings with the entire team, without requiring access to the tool.
5. Data governance
Centralize reporting in a secure and auditable environment.
Data security 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 operational performance
| Metric | Before | After |
|---|---|---|
| Report preparation time | 4-6 hours per week | 0 hours (automated) |
| UX bug detection delay | Several days | Real time |
| Team insight adoption | Low (ignored reports) | High (synthetic reports) |
| Analysis cost | High human hourly cost | Optimized fixed cost |
Take action with fullstory
Save hours of weekly analysis and instantly identify friction points in your conversion funnel.