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Solutions · Customer service

CSAT survey and NPS with AI: customer feedback that turns into action

The satisfaction survey goes out once a year and the response rate is low. Comments sit in a spreadsheet nobody reads, and the customer who gave a low score never hears back. The score goes up or down and nobody can explain why.

Jaca
Solutions

Satisfaction surveys with AI, step by step

01

A survey at the right moment

The agent sends the CSAT right after the support contact or delivery and the NPS at milestones of the relationship, on the channel where the customer usually replies.

02

Comments actually read

Each comment is classified by topic and sentiment, and the agent shows what customers praise and criticize, with real examples.

03

Follow-up with the unhappy customer

A low score opens a case with the owner, with a deadline for contact. The agent tracks it until the customer gets a reply.

04

Reasons for leadership

Pulse follows score trends by department, product and unit and explains the changes based on the comments.

What changes

Less repetitive work. More control.

  • A continuous survey, not an annual one
  • Unhappy customers getting a reply
  • Clear reasons behind the score
  • Teams held to what the customer said
Questions

Questions about satisfaction surveys with AI

What is the difference between CSAT and NPS?

CSAT measures satisfaction with a specific interaction. NPS measures willingness to recommend the company. The agent can handle both.

Doesn't sending a survey on WhatsApp bother people?

With controlled frequency and at the right moment, it is usually well received. The agent respects anyone who asked not to receive messages.

Does it integrate with our current survey tool?

Yes. The agent can use Typeform, Google Forms or the help desk's own tool and consolidate the results in one place.

Are customer comments protected?

Yes. Responses are kept with controlled access, an audit trail and handling under data-protection rules such as Brazil's LGPD.

Next step

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