Zonka Feedback Features

Calculates net promoter score (NPS) using customer feedback data.

Calculates customer satisfaction (CSAT) score using customer feedback data.

Calculates customer effort score (CES) using customer feedback data.

Provides insight concerning engagement with various stakeholders in regards to customer feedback and experience.

Allow users to create surveys and repond to customer feedback in a variety of languages.

Allows users to deploy surveys and intake feedback data for multiple brands.

Vendor provides industry- or role-specific experience management solutions.

Allow capabilities to be customized (key-phrase, topics, sentiment, named entity) by adding keywords or exceptions.

Allow user to add custom functions to Analysis capabilities

User created models can be used as features/pre-built in other models

Tag content to organize and assign to specific departments or categories

Break down a population of users by demographics, sequence actions, time, and able to build custom segments.

Allows users to easily build customized reports and dashboards.

Identifies key phrases, themes, and patterns within a given text

Outputs the sentiment (positive or negative) of a given text

Measures and reports on NPS, CSAT, or other metrics over time

Analyzes feedback from online reviews

Analyzes feedback from surveys through built-in survey features or integrations with survey tools

Analyzes customer feedback from social media

Analyzes feedback sourced from integrations with customer service tools, such as help desks and live chat

Provides the ability to import data from a variety of sources and in multiple data formats.

Consistently maintains, updates, and tests data sources to ensure quality.

Allows users to analyze data easily without the need to code.

Ensures privacy and security of customer data.

Visualizes text data through charts and graphs.

Automates back-end technical manual processes.

Identifies entities such as organization, person name, location, etc

Extracts keyphrases to determine patterns and themes within text.

Automatically identifies and organizes text based on topic or subject matter.

Utilizes sentiment analysis to capture user feedback.

Identifies the language in which text was written in.

Provides the ability to identify syntax and parts of speech.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting