Collect and analyze Reward Sciences feedback automatically with AI
Swiftask automates the flow between your customer interactions and Reward Sciences. Get valuable insights without manual work.
Result:
Turn every interaction into structured data to improve your products and services.
AI Agents
reward sciences
Connector reward sciences · Secure OAuth 2.0
The challenge of customer feedback: lag and fragmentation
Gathering and processing customer feedback is often a manual, slow, and error-prone process. Without automation, feedback remains siloed, preventing rapid decision-making.
Main negative impacts:
Critical analysis delays
Customer feedback is often analyzed too late, making corrections ineffective.
Data silos
Feedback collected via Reward Sciences isn't always connected to your operational tools.
Low response rates
Lack of automated and personalized solicitation reduces customer engagement.
Swiftask automates triggering feedback campaigns in Reward Sciences and centralizes result analysis via intelligent AI agents.
BEFORE / AFTER
What changes with Swiftask
Manual feedback management
Teams manually export data from Reward Sciences, struggle to analyze it in spreadsheets, and waste precious time processing obsolete feedback.
Automated workflow with Swiftask
As soon as an interaction is completed, your AI agent triggers a feedback request in Reward Sciences, analyzes the response upon receipt, and alerts your teams in case of low scores.
4 steps to automate your customer feedback
1
STEP 1 : Define triggers
Configure in Swiftask the events that should trigger a feedback request.
2
STEP 2 : Connect to Reward Sciences
Integrate Reward Sciences as the preferred collection channel in your workflow.
3
STEP 3 : AI agent processing
The AI agent analyzes incoming responses and categorizes sentiment.
4
STEP 4 : Immediate action
Insights are automatically pushed to your management tools or CRM.
Key automation features
Semantic analysis of comments, NPS/CSAT score tracking, and correlation with transaction data.
- Target connector: The agent performs the right actions in reward sciences based on event context.
- Automated actions: Automatic survey triggering, intelligent feedback classification, real-time alerts on negative feedback.
- Native governance: Full traceability of every feedback in your Swiftask dashboard.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-reward-sciences@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.
Operational performance gains
Increased reactivity
Address customer dissatisfaction within minutes.
Actionable insights
Turn raw data into strategic decisions.
Superior customer engagement
Relevant solicitations at the right time.
Data security
Swiftask applies enterprise-grade security standards for your reward sciences automations.
- Encrypted exchanges: All communications between Swiftask and Reward Sciences are secured.
- GDPR compliance: Strict management of customer personal data.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Success metrics
| Metric | Before | After |
|---|---|---|
| Processing time | Several days | Real-time |
| Response rate | Low | AI-optimized |
Take action with reward sciences
Turn every interaction into structured data to improve your products and services.