Automatically analyze BetterVoice call sentiment with AI
Swiftask connects to BetterVoice to analyze the tone and emotion of every interaction. Turn phone conversations into strategic data.
Result:
Boost customer satisfaction by identifying friction points before they escalate into major issues.
AI Agents
bettervoice
Connector bettervoice · Secure OAuth 2.0
You are missing valuable insights in your BetterVoice calls
Most companies record their calls with BetterVoice, but this data remains untapped. Manually listening to every call is impossible, and you miss crucial information about customer satisfaction or market trends.
Main negative impacts:
Missed opportunities
Without automated analysis, critical customer feedback or buying signals go unnoticed in the mass of recordings.
Limited reactivity
You only discover dissatisfaction when it's too late, directly impacting your customer retention rate.
Lack of data-driven steering
Your strategic decisions based on customer service lack concrete evidence and objective sentiment measurements.
Swiftask automatically analyzes your BetterVoice streams. Each call is transcribed and evaluated to detect overall sentiment, allowing you to act instantly on negative interactions.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
Your support team handles hundreds of calls. Supervisors listen to random samples, often missing real-world problem situations. Customer sentiment is a subjective impression, not measured.
With Swiftask + BetterVoice
Every call is analyzed in real time. If negative sentiment is detected, an alert is sent to your manager. You precisely measure the evolution of satisfaction across your entire customer base.
How to set up sentiment analysis in 4 steps
1
STEP 1 : Connect your BetterVoice account
Integrate BetterVoice with Swiftask in a few clicks via our secure native connector.
2
STEP 2 : Define your analysis criteria
Configure the sentiment thresholds (positive, neutral, negative) you want to monitor for your different call types.
3
STEP 3 : Automate alerts
Create rules to be notified immediately if a call detects highly negative sentiment.
4
STEP 4 : View your dashboards
Track your customers' sentiment trends directly in your Swiftask interface.
Key features of sentiment analysis
Our AI engine evaluates not only the words used, but also the emotional context, tone, and intensity of the conversation.
- Target connector: The agent performs the right actions in bettervoice based on event context.
- Automated actions: Automatic call transcription. Sentiment scoring per call. Automatic alerts in case of crisis. Weekly reports on customer relationship health. Data export for in-depth analysis.
- Native governance: All analyses are kept in Swiftask to enable historical analysis and continuous improvement of your processes.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-bettervoice@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 sentiment analysis with Swiftask?
Churn improvement
Detect dissatisfied customers at the first signs and intervene proactively.
Team coaching
Use sentiment data to identify best practices and train your agents more effectively.
Massive time savings
No need to manually listen to hours of recordings to extract key trends.
Quality and compliance
Ensure consistent service quality through objective and systematic measurement.
Smooth integration
BetterVoice and Swiftask communicate natively, without complex development.
Data privacy and security
Swiftask applies enterprise-grade security standards for your bettervoice automations.
- Encrypted data: All your call data is processed with the highest security standards.
- GDPR compliance: Swiftask is designed to ensure full compliance for your data processing workflows.
- Total control: You keep control over shared recordings and access to your workspace.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measure the impact on your performance
| Metric | Before | After |
|---|---|---|
| Time to identify dissatisfaction | Several days | A few minutes |
| Call coverage | Less than 5% (sampling) | 100% of your calls |
| Analysis accuracy | Subjective | Objective and consistent AI |
Take action with bettervoice
Boost customer satisfaction by identifying friction points before they escalate into major issues.