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Survey Monkey

Get accurate, actionable insights with text analytics for SurveyMonkey.

SentiSum automates survey analysis so you can uncover actionable data from 100% of verbatim feedback.

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What our Survey Monkey integration does for you

Improve agent productivity

Auto-triage support queries to the right team in real-time and reduce your average handle time

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Extract valuable insights

Make your ticket tags accurate and granular, and then turn those those into easy-to-access insights

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Improve CX and sales

Automatically prioritise important customer queries based on urgency, risk, and sentiment

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Accurately automate tagging at a granular level

SentiSum automatically tags every survey result with detailed topics and sentiment.

You'll have valuable insights at your fingertips, which you can use to drive improvements business-wide.

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Collaborate against customer friction

With automated daily reporting, customisable views and company-wide access to insights, everyone can work together easily to tackle the drivers of customer frustration.

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What's the impact?

Quantify & confirm assumptions

Reduce weekly reporting time by 20x

Understand and tackle friction points

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Is your AI accurate, or am I getting sold snake oil?

The accuracy of every NLP software depends on the context. Some industries and organisations have very complex issues, some are easier to understand.
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Our technology surfaces more granular insights and is very accurate compared to (1) customer service agents, (2) built-in keyword tagging tools, (3) other providers who use more generic AI models or ask you to build a taxonomy yourself.

We build you a customised taxonomy and maintain it continuously with the help of our dedicated data scientists. That means the accuracy of your tags are not dependent on the work you put in.

Either way, we recommend you start a free trial. Included in the trial is historical analysis of your data—more than enough for you to prove it works.

Try SentiSum today

Democratise voice of the customer insights across your company

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