Swiftask integrates with LiveSession to automatically detect frustration moments. Your team receives actionable insights to fix interface bugs.
Resultat:
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.
Les principaux impacts négatifs :
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.
AVANT / APRÈS
Ce qui change avec 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
ÉTAPE 1 : Connect LiveSession to Swiftask
Use our native connector to sync your session data in a few clicks via API.
ÉTAPE 2 : Define your alert zones
Target critical pages (checkout funnels, sign-up forms) where rage clicks are the most costly.
ÉTAPE 3 : Let the AI agent analyze
Swiftask identifies abnormal behavior and correlates it with technical events from LiveSession.
ÉTAPE 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.
Chaque action est contextualisée et exécutée automatiquement au bon moment.
Chaque agent Swiftask utilise une identité dédiée (ex. agent-livesession@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.
À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.
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 applique des standards de sécurité enterprise pour vos automatisations livesession.
Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.
RÉSULTATS
Measure the impact on your performance
| Métrique | Avant | Après |
|---|---|---|
| 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) |
Passez à l'action avec livesession
Reduce friction, improve user experience, and maximize conversions without spending hours reviewing replays.