Overview

Welcome to Chattermill! We use groundbreaking theme and sentiment AI to analyse your data, and help you see how customers feel about your product, stay on top of emerging topics and understand what keeps them coming back. Before you get started, there are a couple of definitions that will help you get to grips with the tool.

A - B - C - D - E - F - G - H - I - J - K - L - M - N - O - P - Q - R - S - T - U - V - W - X - Y - Z

A

...

B

...

C

Category: Themes are grouped together under predefined umbrella categories.

D

...

E

...

F

...

G

...

H

...

I

...

J

...

K

...

L

...

M

...

N

Net Sentiment: This is our own metric, calculated by subtracting % of Negative theme mentions from % of Positive ones. The metric is a universal approach to measuring customer experience across various channels. It works on a scale ranging from -100 to 100.

O

...

P

...

Q

...

R

...

S

Segments: Segments are variables or attributes of your comments. For example, you may have a segment named "United Kingdom". Selecting this would return all comments from customers based in the United Kingdom.

Sentiment (Negativity / Positivity): This is the number of Negative or Positive theme mentions per 100 responses.

Sentiment Distribution: Ratio of positive, neutral and negative theme mentions for a given number of responses.

T

Theme: Customer feedback is analysed and tagged with one or more themes. Each theme is characterised as either a positive mention or a negative mention.

Theme Structure: When Chattermill first analyse your data our tool creates a “theme structure” by examining what topics are consistently being mentioned. These topics are then added into categories that suit your business. From here we can tag comments with theme mentions.

U

...

V

...

W

...

X

...

Y

...

Z

...

If you have any questions, please get in touch at [email protected]

Did this answer your question?