Swiftask turns your Sendbird chatbot into a smart feedback engine. Capture, analyze, and synthesize user insights instantly.
Result:
Turn every conversation into actionable data to improve your product and boost customer satisfaction.
AI Agents
sendbird ai chabot
Connector sendbird ai chabot · Secure OAuth 2.0
Collecting feedback is easy. Using it is hard. Often, customer insights stay trapped in chat logs, scattered and unstructured. Your team lacks visibility into actual friction points, slowing down product innovation.
Main negative impacts:
Unstructured data
Customer insights are lost in the volume of conversations, making manual analysis impossible.
Limited reactivity
Without real-time processing, critical issues are identified too late, impacting retention.
Information silos
Feedback is not shared with product teams, causing a gap between user needs and the roadmap.
Swiftask connects your Sendbird chatbot to an analytical intelligence layer. The AI agent engages the user, asks for feedback, and automatically structures responses in your knowledge base.
BEFORE / AFTER
Manual collection
Customers send feedback to support. An agent must read, copy, sort, and forward this info to the product team. Important feedback is lost in the noise.
Smart automation
The Swiftask AI agent naturally identifies feedback opportunities in Sendbird. It asks relevant questions, analyzes sentiment, and updates your tracking dashboard.
1
STEP 1 : Configure your agent in Swiftask
Define feedback trigger scenarios within the Swiftask interface.
2
STEP 2 : Connect via Sendbird
Connect your Sendbird chatbot API to Swiftask to enable direct user interaction.
3
STEP 3 : Set analysis criteria
Configure the AI to categorize feedback by theme, sentiment, and urgency.
4
STEP 4 : Monitor and report
Visualize trends and consolidated feedback via the Swiftask dashboard.
The AI analyzes conversational context, user tone, and associated keywords for precise categorization.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-sendbird-ai-chabot@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.
Identify satisfaction trends the moment they appear in chats.
Automate the sorting and summarization of feedback for your support teams.
Respond quickly to dissatisfaction with automated alerts.
Prioritize development based on real, quantifiable data.
Connect your results to your existing project management tools.
Swiftask applies enterprise-grade security standards for your sendbird ai chabot automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Collection time | Several days (manual) | Instant (automated) |
| Feedback volume processed | Partial (sample) | 100% of conversations |
| Action speed | Reactive (post-mortem) | Proactive (real-time) |
Turn every conversation into actionable data to improve your product and boost customer satisfaction.