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Voice use case: Surveys and NPS

Turn thousands of feedback calls into actionable data to improve the customer experience and make better decisions.

Understanding customer opinions is essential for improving products, services, and business processes. However, collecting high-quality feedback is often challenging when companies rely on forms, emails, or surveys that are rarely completed.

 

Surveys conducted by human agents require significant time and resources, limiting the number of customers that can be contacted. As a result, many organizations make decisions based on small sample sizes or incomplete information about their customers' experiences.

 

With Rootlenses Voice, companies can automate conversational surveys where an AI voice agent asks questions naturally, listens to customer responses, and automatically records all information for analysis.

 

Transform thousands of customer feedback calls into actionable insights that improve customer experience and support better business decisions.

 

How Rootlenses Voice solves this challenge

Rootlenses Voice can automatically initiate calls after a purchase, a customer support interaction, an appointment, or any other relevant customer touchpoint.

 

The AI agent engages customers in a natural conversation and can ask questions such as:

  • How satisfied were you with our service?
  • On a scale of 1 to 10, how likely are you to recommend us?
  • What did you like most about your experience?
  • What could we improve?
  • Would you like to leave any additional comments?

 

Responses are automatically stored, enabling organizations to calculate metrics such as NPS and CSAT, identify trends, and detect dissatisfied customers who require immediate follow-up.

 

Problems it solves

  • Low response rates from traditional surveys.
  • High costs associated with manual survey campaigns.
  • Scattered customer satisfaction data.
  • Difficulty collecting customer feedback at scale.
  • Limited visibility into opportunities for improvement.

 

Key benefits

  • Automates customer feedback collection.
  • Increases participation through natural conversations.
  • Centralizes responses for easier analysis.
  • Identifies dissatisfied customers early.
  • Enables continuous measurement of customer experience metrics.

 

Cost savings

  • Less time spent managing survey campaigns.
  • Lower operational costs for customer follow-up.
  • Increased productivity for Customer Experience teams.
  • Faster decision-making with up-to-date customer insights.

Main use cases

Explore the main scenarios in which this solution can be applied to generate efficiency, scalability and value in different business contexts.