Pricing

Automate customer feedback collection on Respond.io with AI

Swiftask connects your AI agents to Respond.io. Capture customer feedback after every interaction, analyze it instantly, and identify key improvement areas.

Result:

Never miss a customer insight again. Get actionable data in real-time to boost customer satisfaction.

Why your customer feedback is underutilized on Respond.io

On Respond.io, your agents manage conversations across multiple channels. Yet, collecting and analyzing feedback after every exchange remains a tedious manual task, often forgotten or biased. The result: a fragmented view of customer satisfaction and missed opportunities.

Main negative impacts:

Fragmented customer data: Feedback is scattered across dozens of conversations, making global analysis impossible without manual compilation.
Lack of reactivity: An unsatisfied customer is not detected immediately. Without automated feedback, you lose the chance to fix issues quickly.
Low response rates: Surveys sent manually or too late suffer from high churn, skewing your performance indicators.

Swiftask automates feedback collection directly within your Respond.io workflows. The AI intervenes at the optimal moment, asks the right questions, and analyzes responses to provide clear satisfaction reports.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

An agent ends a WhatsApp chat via Respond.io. They must remember to send a survey link, hope for a reply, then manually copy results into Excel for analysis. It's slow, error-prone, and not scalable.

With Swiftask + Respond.io

As soon as a conversation is marked as resolved in Respond.io, the Swiftask AI agent sends a personalized feedback request. Responses are analyzed in real-time by AI, categorized by sentiment, and dissatisfaction alerts are sent immediately.

Deploy your feedback agent in 4 steps

STEP 1 : Workflow initialization

Configure the trigger in Swiftask linked to the conversation status change in Respond.io.

STEP 2 : AI configuration

Define your agent's tone and questions to ensure smooth and natural data collection.

STEP 3 : Respond.io integration

Connect your AI agent to Respond.io messaging channels to send feedback requests.

STEP 4 : Analysis and reporting

Activate automated sentiment analysis and receive daily summaries in your dashboard.

Capabilities of your AI feedback agent

The agent analyzes satisfaction, emotional sentiment, and key themes addressed in customer feedback.

Target connector: The agent performs the right actions in respond.io based on event context.
Automated actions: Automated survey sending, semantic analysis of text responses, feedback classification, automated alerts for low scores.
Native governance: All data is centralized and compliant with current security standards.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-respond.io@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.

Improve your customer performance

1. Real-time insights

Identify satisfaction trends as soon as they emerge.

2. Optimized response rate

The AI reaches out at the most opportune moment of the conversation.

3. Reduced admin burden

Eliminate manual data compilation for satisfaction metrics.

4. Increased proactivity

Defuse critical situations before they become public complaints.

5. Advanced qualitative analysis

Understand the 'why' behind satisfaction scores using AI text analysis.

Privacy and compliance

Swiftask applies enterprise-grade security standards for your respond.io automations.

Data protection: Swiftask adheres to the strictest security protocols for your customer data.
Access governance: Precisely control who accesses feedback data within your organization.
Full audit trail: Every agent interaction is logged for complete transparency.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your key metrics

Metric	Before	After
Survey response rate	10-15% (manual)	40-60% (automated)
Feedback analysis time	Several hours per week	Real-time
Dissatisfaction detection	Reactive (post-mortem)	Proactive (immediate)

Take action with respond.io

Never miss a customer insight again. Get actionable data in real-time to boost customer satisfaction.