Categorize your Iterate feedback instantly with AI
Swiftask connects your Iterate data to an AI capable of sorting, tagging, and prioritizing customer feedback in real time.
Result:
Stop wasting time on manual sorting. Get a clear, structured view of your customer satisfaction.
AI Agents
iterate
Connector iterate · Secure OAuth 2.0
The chaos of unstructured feedback in Iterate
Collecting feedback via Iterate is essential, but leveraging it quickly becomes a headache. Data arrives in bulk, without structure, forcing your teams to spend hours reading, classifying, and manually tagging every comment.
Main negative impacts:
Operational overload
Your product and support teams spend valuable time on manual classification instead of analyzing real trends.
Lost insights
The volume of data makes exhaustive analysis impossible. Weak signals or critical issues go unnoticed.
Limited reactivity
The delay between receiving feedback and taking action is too long, slowing down your continuous improvement.
Swiftask automates the reading and categorization of your Iterate feedback. AI analyzes the sentiment, intent, and subject of each message to classify them automatically based on your specific business rules.
BEFORE / AFTER
What changes with Swiftask
Manual processing
A constant flow of feedback arrives in Iterate. A team member has to open them one by one, identify the category (bug, feature request, compliment), add tags, and move them to the right tool. It is slow, prone to human error, and frustrating.
Automation with Swiftask
As soon as a new feedback is submitted in Iterate, the Swiftask agent retrieves it. It analyzes the content in depth, applies relevant categories, prioritizes urgent items, and automatically routes the information to your project management tool or dedicated team.
Setting up your classification workflow
1
STEP 1 : Define your taxonomy
Configure the categories and tags you want to apply to your Iterate feedback in Swiftask.
2
STEP 2 : Connect your Iterate source
Activate the Iterate connector in Swiftask to enable real-time reading of your new feedback.
3
STEP 3 : Train your AI rules
Set up the agent to recognize recurring themes and automatically apply the right labels.
4
STEP 4 : Automate routing
Define post-classification actions: Slack notification, Jira ticket creation, or dashboard updates.
Advanced classification capabilities
AI analyzes text content, associated satisfaction score (NPS/CSAT), and user context for fine-grained classification.
- Target connector: The agent performs the right actions in iterate based on event context.
- Automated actions: Automatic tag application, sentiment detection (positive/negative), bug vs suggestion identification, conditional feedback routing, automatic weekly feedback summaries.
- Native governance: Classification accuracy continuously improves based on your team's feedback on the results produced.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-iterate@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 feedback sorting
Massive productivity gain
Eliminate repetitive manual reading and sorting tasks.
Real-time analysis
Identify emerging trends instantly without waiting for manual compilation.
Reliable and structured data
Ensure consistent classification, free from human bias or oversight errors.
Intelligent prioritization
Automatically surface critical feedback for immediate intervention.
Fact-based product improvement
Make product decisions based on precisely classified and quantified data.
Security and privacy
Swiftask applies enterprise-grade security standards for your iterate automations.
- Secure data processing: Swiftask adheres to the strictest security standards for processing your customer feedback.
- Data governance: You maintain full control over the processed data and the applied classification rules.
- GDPR compliance: The entire process is designed to respect the privacy of your users' data.
- Auditability: Every processed feedback is tracked, allowing you to verify the classification logic applied by the AI.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your operations
| Metric | Before | After |
|---|---|---|
| Processing time per feedback | 5 to 10 minutes | Under 5 seconds |
| Classification reliability | Variable (human) | Consistent (AI) |
| Feedback coverage | Partial sampling | 100% of data |
| Bug detection speed | Several days | Real time |
Take action with iterate
Stop wasting time on manual sorting. Get a clear, structured view of your customer satisfaction.