Synthesize your LiveSession feedback instantly with AI
Swiftask connects your LiveSession data to AI to extract friction points, needs, and opportunities. Turn hours of video into actionable insights.
Result:
Save valuable time on qualitative analysis and accelerate product decision-making with structured insights.
AI Agents
livesession
Connector livesession · Secure OAuth 2.0
The qualitative analysis bottleneck
Watching dozens of LiveSession recordings to understand user journeys is time-consuming. Product teams get buried in data without extracting clear trends, delaying necessary iterations.
Main negative impacts:
Exhausting manual analysis
Manually watching every session takes up precious hours that could be spent on design or development.
Fragmented insights
Without centralized synthesis, feedback remains isolated and fails to provide a holistic view of conversion issues.
Disconnected roadmap
Difficulty processing data volume leads to a roadmap based on intuition rather than real evidence.
Swiftask automates the synthesis of your LiveSession data. Your AI agent analyzes interactions, identifies behavioral patterns, and generates clear, actionable summary reports.
BEFORE / AFTER
What changes with Swiftask
Traditional approach
A product manager spends 5 hours a week watching LiveSession recordings. They take scattered notes, forget early details, and struggle to convince the tech team about the priority of a problem.
With Swiftask + LiveSession
Swiftask automatically analyzes new sessions. On Monday morning, you receive a consolidated summary of the most frequent friction points. The product team discusses based on concrete facts.
4 steps to automate your product insights
1
STEP 1 : Connect LiveSession to Swiftask
Integrate your LiveSession data in a few clicks via our secure connector. No code required.
2
STEP 2 : Define your analysis goals
Configure your AI agent to focus on specific elements: conversion failures, interface bugs, or new user needs.
3
STEP 3 : Launch AI analysis
Swiftask processes sessions in the background. The AI structures raw data into coherent themes.
4
STEP 4 : Leverage the reports
Review the generated synthesis. Share insights directly to your project management or communication tools.
Key AI synthesis features
The AI analyzes navigation behavior, rage clicks, perceived loading times, and abandoned forms.
- Target connector: The agent performs the right actions in livesession based on event context.
- Automated actions: Automatic extraction of pain points, categorization of feature requests, executive summary generation, correlation between sessions and conversion rates.
- Native governance: Privacy is guaranteed: your LiveSession data is processed according to the strictest security standards.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-livesession@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.
Strategic advantages for your team
Increased productivity
Drastically reduce time spent manually watching sessions.
Data-driven decisions
Prioritize your roadmap with quantifiable evidence from real behavior.
Faster iteration
Identify and resolve journey bugs much faster.
Team alignment
Share clear reports that create consensus across product, design, and engineering.
User-centricity
Stop guessing what your users want; understand it through the analysis of their real interactions.
Security and privacy
Swiftask applies enterprise-grade security standards for your livesession automations.
- Data encryption: All data transit between LiveSession and Swiftask is encrypted.
- GDPR compliance: We strictly respect data protection standards.
- Full control: You decide which sessions are analyzed and by which agents.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your product performance
| Metric | Before | After |
|---|---|---|
| Weekly analysis time | 5-10 hours | Under 30 minutes |
| Bug detection time | Several days | A few hours |
| Roadmap confidence | Based on guesses | Based on concrete evidence |
Take action with livesession
Save valuable time on qualitative analysis and accelerate product decision-making with structured insights.