NEXT Features
What are the features of NEXT?
User Response Methods
- Survey
- Video Snippets
- Video Interview
- Photo Submission
- Text/Notes
Participant Selection
- In-Store
- On-Site
- Recruitment Pool
Insights
- Analytics
- Collaboration
- Sorting
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NEXT Categories on G2
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User Response Methods
Survey | Text-based surveys or quizzes related to user experience. 12 reviewers of NEXT have provided feedback on this feature. | 72% (Based on 12 reviews) | |
Video Snippets | As reported in 16 NEXT reviews. Individually recorded video clips based on situations or prompts. | 96% (Based on 16 reviews) | |
Video Interview | Based on 14 NEXT reviews. One-on-one video conferences with users. | 88% (Based on 14 reviews) | |
Photo Submission | Based on 13 NEXT reviews. Screenshots or in-context photos sent in from users. | 72% (Based on 13 reviews) | |
Text/Notes | Text responses to situational prompts. 14 reviewers of NEXT have provided feedback on this feature. | 88% (Based on 14 reviews) |
Participant Selection
In-App | Intercepting users during application usage. | Not enough data | |
In-Store | Intercepting customers during in-person shopping experience. 10 reviewers of NEXT have provided feedback on this feature. | 70% (Based on 10 reviews) | |
On-Site | As reported in 10 NEXT reviews. Intercepting visitors while on particular webpage. | 78% (Based on 10 reviews) | |
Recruitment Pool | Based on 10 NEXT reviews. Vendor-provided database of respondents. | 55% (Based on 10 reviews) |
Insights
Analytics | Actionable data generated from user responses. This feature was mentioned in 15 NEXT reviews. | 86% (Based on 15 reviews) | |
Collaboration | As reported in 15 NEXT reviews. Collaborative tools for analyzing or repurposing responses. | 92% (Based on 15 reviews) | |
Sorting | Tools for tagging, storing, and searching responses. 15 reviewers of NEXT have provided feedback on this feature. | 84% (Based on 15 reviews) |
Call Analytics
Call Recording | See feature definition | Records sales calls and facilitates playback | Not enough data |
Machine Learning | Utilizes machine learning technology to analyze recorded sales calls | Not enough data | |
Call Analysis | Analyzes or facilitates the analysis of recorded and stored sales calls for insight | Not enough data | |
Lead Qualification | Leverages analytics to qualify and score calls in real time | Not enough data |
Agent Performance Management
Customer Scoring | Leverages technology to rate or "read" recordings to determine the impact of sales calls | Not enough data | |
Speech-to-Text | Transcribes sales calls from speech to text | Not enough data | |
Artificial Intelligence | Utilizes artificial intelligence technology to discover insights within recorded sales calls | Not enough data |
Voice
Dictation | Provides dictation capabilities. | Not enough data | |
Accuracy | Gives the user a reliable and accurate transcription of the text. | Not enough data |
Transcription
Speaker Identification | Identifies and differentiates between different speakers. | Not enough data | |
Timecode Management | Provides timestamps for the transcription and gives the user the ability to alter them. | Not enough data | |
Closed Captioning | Allows for transcription to be displayed as closed captioning for a video. | Not enough data | |
Custom Dictionary | Ability to add words or phrases to a custom dictionary for transcription. | Not enough data |
Editing
Collaboration | Have the ability to share your project and grant collaborators access to comment or edit. | Not enough data | |
Spell Check and Punctuation | Provides spell checking and punctuation, such as commas, periods, and question marks. | Not enough data | |
Text Editing | Facilitates the editing of transcription via a text editor. | Not enough data | |
Translation | Allows for the translation of the transcribed text. | Not enough data |
Integration
Data Security | Gives the user a secure platform for transcription which does not scrape data or compromise user data. | Not enough data | |
API | Provides an API to port the transcription into external applications. | Not enough data | |
Voice Files | Supports uploading recorded voice data into the solution. | Not enough data | |
Live Captioning | Allows for the user to incorporate live transcription into video footage. | Not enough data | |
Integrates With Existing Applications | Integrates with existing applications to allow for seamless transcription of audio. | Not enough data |
Management
Team Collaboration | Provides a highly collaborative user research hub to the benefit of all relevant team members. | Not enough data | |
Access Control | Allows administrators to designate access and data permissions to individual team members. | Not enough data | |
Data Security | Keeps sensitive user data secure and compliant. | Not enough data |
Functionality
Sentiment Analysis | Uses AI to accurately assess feedback sentiment based on keywords and phrases. | Not enough data | |
Tagging | Provides tools for team members to group user research with customizable tags. | Not enough data | |
Note Taking | Allows team members to add notes to user feedback. | Not enough data | |
Integrations | Integrates seemlessly with user research software that handles the outright gathering of user data. | Not enough data |
Data
Reliability | Ensures consistent performance, delivering reliable outputs based on user prompts. | Not enough data | |
Data Security | Implements stringent measures to protect user data and ensure privacy. | Not enough data |
Interaction
Complex Query Handling | Shows adeptness in comprehending and responding to complex or multi-part queries. | Not enough data | |
Natural Conversation | Facilitates natural and human-like conversations, delivering engaging interaction experiences. | Not enough data | |
Understanding | Demonstrates a sophisticated understanding of both written and spoken user commands. | Not enough data | |
Context Management | Exhibits proficiency in maintaining and utilizing context throughout a conversation. | Not enough data | |
Customizability | Offers a high degree of customization to meet individual user or business requirements. | Not enough data |
Learning
User Interaction Learning | Features robust learning mechanisms, improving responses over time based on past user interactions. | Not enough data | |
Error Learning | Showcases the ability to recognize, correct, and learn from its own mistakes. | Not enough data |
Content Generation
Creativity | Displays creativity in generating diverse, interesting, and contextually relevant responses. | Not enough data | |
Content Accuracy | Produces content that is accurate, factually correct, and relevant to the user's query. | Not enough data |
System
API Flexibility | Evaluates the chatbot's ability to provide flexible APIs for custom integrations and functionality expansions. | Not enough data | |
Update Frequency and Utility | Regularly receives updates that contribute to continuous improvement of the product. | Not enough data | |
Cross-Platform Compatibility | Assesses the chatbot's ability to function seamlessly across various platforms and devices. | Not enough data | |
Software Integration | Seamlessly integrates with other platforms or software systems, enhancing overall utility. | Not enough data |
