Decode Features

Creates feedback forms that are consistent with the design of the site.

Supports the creation and deployment of different survey types on different channels or devices.

Solicits, captures, and centralizes feedback from both structured and unstructured sources.

Allows designs to adapt automatically to the device that users access the survey or software.

Enables users to create surveys through a simple drag-and-drop or WYSIWYG editor

Allows the use of various question types such as open-ended, closed-ended, multiple choice, and ratings

Offers pre-built templates for creating surveys with different audiences or use cases

Provides tools for distributing surveys through email, SMS, social media, etc.

Aggregates feedback and transforms feedback into actionable insights.

Triggers creation of a new case after customer leaves feedback.

Analyze collected feedback near or in real-time.

Trigger strategic workflows to quickly resolve issues and increase customer satisfaction.

Provides a secure and compliant system.

Continually inspects, audits, and monitors system to keep it up to date.

Text-based surveys or quizzes related to user experience.

Individually recorded video clips based on situations or prompts.

One-on-one video conferences with users.

Screenshots or in-context photos sent in from users.

Text responses to situational prompts.

Intercepting users during application usage.

Intercepting customers during in-person shopping experience.

Intercepting visitors while on particular webpage.

Vendor-provided database of respondents.

Actionable data generated from user responses.

Collaborative tools for analyzing or repurposing responses.

Tools for tagging, storing, and searching responses.

Video responses are transcribed by a human

Video responses are transcribed by a computer

Actionable data generated from user responses

Queries and pulls enterprise data into a singular knowledge respository

Stores and organizes synthesized data

Analyzes search results to identify trends and patterns

Provides a simple, intuitive search interface for users

Leverages artificial intelligence technology to empower search

Leverages natural language processing technology to empower search

Crawls within the enterprise and outside the enterprise for data points

Provides filters for refined navigation

Leverages machine learning technology to empower search

Source software, website, or application testing to diverse pool of test users.

Provide manual or automated feedback tracking regarding software, website, or application functions and errors.

Integrate with other software testing, product management, and development platform tools.

Set requirements for testing which the software, website, or application would need to pass.

Record software, website, application, and test users actions with fullscale logging to track actions and errors.

Uses AI to accurately assess feedback sentiment based on keywords and phrases.

Provides tools for team members to group user research with customizable tags.

Allows team members to add notes to user feedback.

Integrates seemlessly with user research software that handles the outright gathering of user data.

Provide test result metrics in text and visual representations.

Create a unique survey link to invite respondents

Capture video feedback via vendor app

Invite respondents via in-app or on-site widget

Solicit responses from pre-approved database provided by vendor

Collect and archive video responses in a private media library

Tools for tagging, filtering, and searching video responses

Publish or share videos privately within the organization or publicly online

Features for ensuring privacy compliance

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.

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 gamification tools to incentivize employees to leverage customer feedback insights.

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.

Provides a highly collaborative user research hub to the benefit of all relevant team members.

Allows administrators to designate access and data permissions to individual team members.

Keeps sensitive user data secure and compliant.

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

Helps create more intelligent surveys based on respondent's actions and answers

Allows users to customize survey colors, logos, and URLs to match company branding

Ability to embed videos, photos, or other rich media

Allows for creation of surveys in different languages and advanced survey translation

Provides tools to visualize and analyze data

Allows integration with third -party reporting and business intelligence applications

Allows users to export reports from the product into an .xsl, .csv, or .pdf file

Allows administrators to set permissions on viewing, filtering, or sharing survey results

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.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Condenses long documents or text into a brief summary.

Supports emotion recognition across multiple modalities like text, voice, and video.

Simplifies the setup process with clear instructions and minimal technical effort.

Integrates seamlessly with existing analytics platforms, cloud environments, or on-premises systems.

Provides an intuitive interface for configuring and monitoring emotion AI functionalities.

Adheres to data privacy regulations, ensuring secure handling of sensitive user data.

Supports scalable operations to handle large datasets or user bases efficiently.

Delivers real-time emotion analysis across facial, vocal, and multimodal inputs, ensuring immediate feedback for high-speed applications.

Detects a wide range of emotions with fine-grained classification, such as subtle variations in tone.

Complies with ethical AI standards to ensure unbiased and responsible emotion detection.

Ensures end-to-end encryption for secure data transmission and storage.

Offers APIs for seamless integration with other systems or applications.

Dynamically adapts to the detected emotions to personalize responses in real-time.

Recognizes emotions across multiple languages and cultural contexts.

Identifies emotional states through vocal cues such as tone, pitch, volume, and speech patterns.

Detects and analyzes emotions through facial expressions, including microexpressions and dynamics.

Maintains detection accuracy even with low-resolution video, noisy audio, or suboptimal environments.

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

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

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives