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Analyze user sentiment in Botpress with Swiftask

Give your chatbots empathy. Swiftask analyzes user messages in Botpress in real-time to adjust tone and resolution strategies.

Result:

Boost your customer satisfaction score by delivering context-aware and emotionally intelligent responses.

Your Botpress chatbots lack empathy and context

A standard chatbot responds the same way whether a customer is happy or furious. This linear approach frustrates users, damages brand image, and misses opportunities to de-escalate critical situations.

Main negative impacts:

  • Failure to detect dissatisfaction: Your bot keeps offering standard menus while the user is clearly expressing anger.
  • Loss of high-risk customers: Without automatic sentiment detection, critical cases are not escalated to human agents fast enough.
  • Dehumanized customer experience: Rigid communication that fails to reflect the end-user's state of mind.

Swiftask adds a layer of emotional intelligence to your Botpress workflows. Each message is analyzed instantly to determine polarity and intensity, allowing for an adapted reaction.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

An unhappy customer writes: 'Your service is terrible!'. The Botpress bot replies: 'How can I help you today?'. The customer leaves the chat, frustrated.

With Swiftask + Botpress

The same customer writes: 'Your service is terrible!'. Swiftask immediately detects a very negative sentiment. The Botpress workflow automatically routes the chat to high-priority human agent escalation.

Setting up emotional analysis in 4 steps

STEP 1 : Enable the Swiftask connector in Botpress

Integrate the Swiftask module into your existing Botpress flows to send every user message to our analysis engine.

STEP 2 : Define sentiment thresholds

Configure in Swiftask the sentiment scores that should trigger specific actions (e.g., escalation, apology message, discount offer).

STEP 3 : Configure response actions

In your Botpress workflow, use the variables returned by Swiftask to direct the conversation flow based on the detected emotion.

STEP 4 : Test and optimize

Use the Swiftask dashboard to fine-tune detection accuracy and improve the relevance of your responses.

Advanced features for your bots

Swiftask evaluates polarity (positive, neutral, negative) and emotional intensity, while extracting underlying user intent from the message.

  • Target connector: The agent performs the right actions in botpress based on event context.
  • Automated actions: Automatic emergency detection. Conditional chat routing. Dynamic tone personalization. Emotional health reporting on your user base.
  • Native governance: All analyses are processed securely and in compliance with GDPR.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-botpress@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 choose emotional AI

1. Churn reduction

Identify angry customers before they leave and react proactively.

2. CSAT improvement

Responses adapted to emotional context increase overall customer satisfaction.

3. Intelligent escalation

Free your human agents from simple tasks and only involve them when sentiment is critical.

4. Actionable data

Analyze dissatisfaction trends to improve your products or services.

5. No-code configuration

Implement this advanced intelligence without needing data scientists or specialized developers.

Security commitment

Swiftask applies enterprise-grade security standards for your botpress automations.

  • Encrypted data: Your conversation flows are protected by end-to-end encryption.
  • GDPR compliance: We strictly adhere to personal data protection standards.
  • No training on your data: Your conversational data is never used to train our third-party models.

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

RESULTS

Impact on your key metrics

MetricBeforeAfter
Customer Satisfaction (CSAT)Standard+25% on average
Dispute resolution timeLong (human wait)Instant (AI escalation)
Retention rateVariableMeasurable improvement

Take action with botpress

Boost your customer satisfaction score by delivering context-aware and emotionally intelligent responses.