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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.

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

STEP 1 : Define triggers

Configure in Swiftask the events that should trigger a feedback request.

STEP 2 : Connect to Reward Sciences

Integrate Reward Sciences as the preferred collection channel in your workflow.

STEP 3 : AI agent processing

The AI agent analyzes incoming responses and categorizes sentiment.

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

1. Increased reactivity

Address customer dissatisfaction within minutes.

2. Actionable insights

Turn raw data into strategic decisions.

3. 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

MetricBeforeAfter
Processing timeSeveral daysReal-time
Response rateLowAI-optimized

Take action with reward sciences

Turn every interaction into structured data to improve your products and services.