Pricing

Turn rage clicks into UX optimization opportunities

Swiftask integrates with LiveSession to automatically detect frustration moments. Your team receives actionable insights to fix interface bugs.

Result:

Reduce friction, improve user experience, and maximize conversions without spending hours reviewing replays.

User frustration is invisible in your analytics

You know your users are hitting roadblocks, but without context, you don't know why. Replay tools like LiveSession generate thousands of hours of video. Manually analyzing every session to find a 'rage click' is a massive waste of time.

Main negative impacts:

Immediate revenue loss: A user clicking frantically on a broken button is a lost customer. Without rapid detection, this bug is costing you money.
Inefficient manual analysis: Watching sessions at random to find UX issues is an exhausting strategy that yields no guaranteed results.
Impossible bug prioritization: Without aggregated data on friction zones, your product team works blindly, not knowing which fixes will actually impact UX.

Swiftask acts as an intelligent filter on your LiveSession data. It identifies rage click patterns, groups them by page or element, and alerts you as soon as a critical issue requires intervention.

BEFORE / AFTER

What changes with Swiftask

The traditional approach

Your UX team spends every Monday morning randomly browsing LiveSession replays. They look for signs of frustration, note bugs, and hope they found the worst ones. It's slow, subjective, and rarely exhaustive.

The Swiftask + LiveSession approach

Swiftask continuously scans your LiveSession data. As soon as a cluster of rage clicks is detected on a new version of your product page, you receive a summary report with direct links to the relevant sessions.

Detect your UX friction in 4 simple steps

STEP 1 : Connect LiveSession to Swiftask

Use our native connector to sync your session data in a few clicks via API.

STEP 2 : Define your alert zones

Target critical pages (checkout funnels, sign-up forms) where rage clicks are the most costly.

STEP 3 : Let the AI agent analyze

Swiftask identifies abnormal behavior and correlates it with technical events from LiveSession.

STEP 4 : Act on insights

Receive notifications with precise context to fix the interface before bounce rates increase.

AI agent analysis capabilities

The AI analyzes click frequency, position on the element, loading time, and the user's navigation context.

Target connector: The agent performs the right actions in livesession based on event context.
Automated actions: Segment rage clicks by device type. Automatic notification for spikes in frustration. Generation of summaries for problematic sessions. Export data to your ticketing tool (Jira, Trello).
Native governance: Your data remains private and secure throughout the analysis process.

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.

Why automate your UX analysis

1. Operational time savings

Stop wasting time searching for problems: they come to you with the necessary context.

2. Increased conversion rate

By eliminating friction points, you streamline the buying journey and increase sales.

3. Fact-based decisions

Prioritize your developments on elements that actually generate frustration.

4. Increased reactivity

Fix production bugs in minutes, not days.

5. Improved customer satisfaction

Provide a fluid interface that respects your users' time and effort.

Privacy and compliance

Swiftask applies enterprise-grade security standards for your livesession automations.

Encrypted data: All interactions between LiveSession and Swiftask are encrypted.
GDPR compliant: We process session data strictly adhering to privacy protection standards.
Restricted access: You control who within your organization can access the generated insights.
Data integrity: Swiftask never alters your source data in LiveSession.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Measure the impact on your performance

Metric	Before	After
Bug identification time	Several hours per week	Minutes (push alerts)
Resolution rate	Reactive (after complaints)	Proactive (before major impact)
UX team productivity	Based on sampling	Based on exhaustive analysis
Analysis cost	High (human time)	Optimized (AI)

Take action with livesession

Reduce friction, improve user experience, and maximize conversions without spending hours reviewing replays.