Data-driven product roadmaps
AI Customer Feedback Analysis Agent
Understand what your customers really want
Delegate your feedback analysis to a specialized AI agent. It reads and understands thousands of survey responses, support tickets, and call transcripts to automatically identify key themes, gauge sentiment, and extract actionable insights.

Ideal for
Product Management
Customer Experience
Marketing

See AI Customer Feedback Analysis Agent in action
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See AI Customer Feedback Analysis Agent in action
Play video

See AI Customer Feedback Analysis Agent in action
Play video

Quarterly NPS Survey Analysis
See AI Customer Feedback Analysis Agent in action
Play video
Time comparison
Time comparison
Traditional way
Days of manual tagging
With V7 Go agents
Minutes
Average time saved
99%
Why V7 Go
Why V7 Go
Automated Thematic Analysis
Reads thousands of unstructured comments and automatically groups them into key themes (e.g., 'Pricing,' 'Performance,' 'UI/UX'), instantly showing you what customers are talking about.
Automated Thematic Analysis
Reads thousands of unstructured comments and automatically groups them into key themes (e.g., 'Pricing,' 'Performance,' 'UI/UX'), instantly showing you what customers are talking about.
Automated Thematic Analysis
Reads thousands of unstructured comments and automatically groups them into key themes (e.g., 'Pricing,' 'Performance,' 'UI/UX'), instantly showing you what customers are talking about.
Automated Thematic Analysis
Reads thousands of unstructured comments and automatically groups them into key themes (e.g., 'Pricing,' 'Performance,' 'UI/UX'), instantly showing you what customers are talking about.
Sentiment Scoring
Analyzes the language of the feedback to assign a positive, negative, or neutral sentiment score, allowing you to quickly gauge customer happiness at a granular level.
Sentiment Scoring
Analyzes the language of the feedback to assign a positive, negative, or neutral sentiment score, allowing you to quickly gauge customer happiness at a granular level.
Sentiment Scoring
Analyzes the language of the feedback to assign a positive, negative, or neutral sentiment score, allowing you to quickly gauge customer happiness at a granular level.
Sentiment Scoring
Analyzes the language of the feedback to assign a positive, negative, or neutral sentiment score, allowing you to quickly gauge customer happiness at a granular level.
Feature Request Extraction
Identifies and consolidates every product feature request or suggestion from your customer feedback, creating a data-driven input for your product roadmap.
Feature Request Extraction
Identifies and consolidates every product feature request or suggestion from your customer feedback, creating a data-driven input for your product roadmap.
Feature Request Extraction
Identifies and consolidates every product feature request or suggestion from your customer feedback, creating a data-driven input for your product roadmap.
Feature Request Extraction
Identifies and consolidates every product feature request or suggestion from your customer feedback, creating a data-driven input for your product roadmap.
Root Cause Analysis for Churn
Focuses on feedback from detractors or churned customers to pinpoint the root causes of dissatisfaction, providing clear, actionable insights to improve retention.
Root Cause Analysis for Churn
Focuses on feedback from detractors or churned customers to pinpoint the root causes of dissatisfaction, providing clear, actionable insights to improve retention.
Root Cause Analysis for Churn
Focuses on feedback from detractors or churned customers to pinpoint the root causes of dissatisfaction, providing clear, actionable insights to improve retention.
Root Cause Analysis for Churn
Focuses on feedback from detractors or churned customers to pinpoint the root causes of dissatisfaction, providing clear, actionable insights to improve retention.
Multi-Channel Feedback Consolidation
Creates a unified view of customer sentiment by analyzing and consolidating feedback from all your channels: NPS surveys, support tickets, app store reviews, and sales call transcripts.
Multi-Channel Feedback Consolidation
Creates a unified view of customer sentiment by analyzing and consolidating feedback from all your channels: NPS surveys, support tickets, app store reviews, and sales call transcripts.
Multi-Channel Feedback Consolidation
Creates a unified view of customer sentiment by analyzing and consolidating feedback from all your channels: NPS surveys, support tickets, app store reviews, and sales call transcripts.
Multi-Channel Feedback Consolidation
Creates a unified view of customer sentiment by analyzing and consolidating feedback from all your channels: NPS surveys, support tickets, app store reviews, and sales call transcripts.
Trend Monitoring Over Time
Processes feedback on an ongoing basis to track how sentiment and key themes are changing over time, allowing you to measure the impact of your product improvements.
Trend Monitoring Over Time
Processes feedback on an ongoing basis to track how sentiment and key themes are changing over time, allowing you to measure the impact of your product improvements.
Trend Monitoring Over Time
Processes feedback on an ongoing basis to track how sentiment and key themes are changing over time, allowing you to measure the impact of your product improvements.
Trend Monitoring Over Time
Processes feedback on an ongoing basis to track how sentiment and key themes are changing over time, allowing you to measure the impact of your product improvements.
Analyzes feedback from across your customer journey
To build a single, comprehensive view.
Get started
Get started


Import your files
Zendesk
,
HubSpot
,
SurveyMonkey
Import your files from whereever they are currently stored
All types of Business documents supported
Once imported our system extracts and organises the essentials
Built for the teams that handle high-stakes work
Built to scale workflows for teams that need speed and accuracy.
For Teams
For Teams
Product & UX Teams
Product & UX Teams
Product & UX Teams
Build a product roadmap based on quantitative data, not just anecdotes. Use automated analysis to prioritize features, identify user pain points, and make smarter design decisions.
Build a product roadmap based on quantitative data, not just anecdotes. Use automated analysis to prioritize features, identify user pain points, and make smarter design decisions.
Build a product roadmap based on quantitative data, not just anecdotes. Use automated analysis to prioritize features, identify user pain points, and make smarter design decisions.
Customer Success & Marketing
Customer Success & Marketing
Customer Success & Marketing
Understand the true voice of the customer. Identify at-risk accounts based on their feedback, discover what your happiest customers love, and refine your messaging to better address market needs.
Understand the true voice of the customer. Identify at-risk accounts based on their feedback, discover what your happiest customers love, and refine your messaging to better address market needs.
Understand the true voice of the customer. Identify at-risk accounts based on their feedback, discover what your happiest customers love, and refine your messaging to better address market needs.
Customer voices
Customer voices
Connect AI to the voice of your customer.
Connect AI to the voice of your customer.
Turn unstructured feedback into your most valuable strategic asset.
Turn unstructured feedback into your most valuable strategic asset.
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Customer Voices
Industrial equipment sales
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
Read the full story
Industrial equipment sales
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Industrial equipment sales
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Finance
“Whenever I think about hiring, I first try to do it in V7 Go.” Discover how HITICCO uses V7 Go agents to accelerate and enrich their prospect research.
Read the full story
Finance
The experience with V7 has been fantastic. Very customized level of support. You feel like they really care about your outcome and objectives.
Read the full story
Features
Features
Results you can actually trust.
Reliable AI document processing toolkit.
Results you can trust.
Trustworthy AI document processing toolkit.
Supporting complex documents.
Up to 200 pages.
Customer feedback is everywhere. This agent is built to find insights in any unstructured text format, from multi-tab survey export spreadsheets to messy email threads and raw transcripts from support calls.
Input types
50+ languages
Free-Text Surveys
200 pages
Multi-modal
Document types
PDFs
URL
Tables
Emails
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Customer feedback is everywhere. This agent is built to find insights in any unstructured text format, from multi-tab survey export spreadsheets to messy email threads and raw transcripts from support calls.
Input types
50+ languages
Free-Text Surveys
200 pages
Multi-modal
Document types
PDFs
URL
Tables
Emails
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Supporting complex documents.
Up to 200 pages.
Customer feedback is everywhere. This agent is built to find insights in any unstructured text format, from multi-tab survey export spreadsheets to messy email threads and raw transcripts from support calls.
Input types
50+ languages
Free-Text Surveys
200 pages
Multi-modal
Document types
PDFs
URL
Tables
Emails
Spreadsheets
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Reach 99% accuracy rate
through GenAI reasoning.
Good product decisions require a nuanced understanding of feedback. The agent uses AI reasoning to accurately interpret customer comments, distinguish between a bug report and a feature request, and correctly gauge sentiment.
Model providers

Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Reach 99% accuracy rate
through GenAI reasoning.
Good product decisions require a nuanced understanding of feedback. The agent uses AI reasoning to accurately interpret customer comments, distinguish between a bug report and a feature request, and correctly gauge sentiment.
Model providers

Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Reach 99% accuracy rate
through GenAI reasoning.
Good product decisions require a nuanced understanding of feedback. The agent uses AI reasoning to accurately interpret customer comments, distinguish between a bug report and a feature request, and correctly gauge sentiment.
Model providers

Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Trustworthy results,
grounded in reality.
You can trust the insights you share with your team. Every identified theme, feature request, or sentiment score is visually linked back to the original customer comment, providing a clear and undeniable source for every data point.

Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance

02
01
01
02
Trustworthy results,
grounded in reality.
You can trust the insights you share with your team. Every identified theme, feature request, or sentiment score is visually linked back to the original customer comment, providing a clear and undeniable source for every data point.

Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance

02
01
01
02
Trustworthy results,
grounded in reality.
You can trust the insights you share with your team. Every identified theme, feature request, or sentiment score is visually linked back to the original customer comment, providing a clear and undeniable source for every data point.

Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance

02
01
01
02
Enterprise grade security
for high-stake industries.
Customer feedback often contains Personally Identifiable Information (PII). V7 Go is built to protect this sensitive data, processing all your survey and ticket information within your secure, private environment.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Customer feedback often contains Personally Identifiable Information (PII). V7 Go is built to protect this sensitive data, processing all your survey and ticket information within your secure, private environment.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Customer feedback often contains Personally Identifiable Information (PII). V7 Go is built to protect this sensitive data, processing all your survey and ticket information within your secure, private environment.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
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Answers
Answers
What you need to know about our
AI Customer Feedback Analysis Agent
What sources of customer feedback can it analyze?
The agent can analyze any text-based feedback, including survey responses (NPS, CSAT), support tickets from systems like Zendesk, online reviews from sites like G2, and transcripts from sales or support calls.
+
What sources of customer feedback can it analyze?
The agent can analyze any text-based feedback, including survey responses (NPS, CSAT), support tickets from systems like Zendesk, online reviews from sites like G2, and transcripts from sales or support calls.
+
What sources of customer feedback can it analyze?
The agent can analyze any text-based feedback, including survey responses (NPS, CSAT), support tickets from systems like Zendesk, online reviews from sites like G2, and transcripts from sales or support calls.
+
How do we define the themes or categories for the analysis?
You have two options: you can provide a predefined list of categories for the agent to use, or you can allow the agent to use its own reasoning to discover and create emergent themes based on what it finds in the data.
+
How do we define the themes or categories for the analysis?
You have two options: you can provide a predefined list of categories for the agent to use, or you can allow the agent to use its own reasoning to discover and create emergent themes based on what it finds in the data.
+
How do we define the themes or categories for the analysis?
You have two options: you can provide a predefined list of categories for the agent to use, or you can allow the agent to use its own reasoning to discover and create emergent themes based on what it finds in the data.
+
Is the sentiment analysis accurate? Sarcasm can be tricky.
Modern AI models are increasingly adept at understanding nuance and sarcasm. While not perfect, the agent provides a strong directional analysis. Most importantly, every sentiment score is linked back to the source text, so you can always see the original context.
+
Is the sentiment analysis accurate? Sarcasm can be tricky.
Modern AI models are increasingly adept at understanding nuance and sarcasm. While not perfect, the agent provides a strong directional analysis. Most importantly, every sentiment score is linked back to the source text, so you can always see the original context.
+
Is the sentiment analysis accurate? Sarcasm can be tricky.
Modern AI models are increasingly adept at understanding nuance and sarcasm. While not perfect, the agent provides a strong directional analysis. Most importantly, every sentiment score is linked back to the source text, so you can always see the original context.
+
Can it tell me which customers are at risk of churning?
The agent can identify customers who express strong negative sentiment or repeatedly mention critical issues. By integrating with your CRM, this analysis can be used to create a 'health score' or automatically flag at-risk accounts for your Customer Success team.
+
Can it tell me which customers are at risk of churning?
The agent can identify customers who express strong negative sentiment or repeatedly mention critical issues. By integrating with your CRM, this analysis can be used to create a 'health score' or automatically flag at-risk accounts for your Customer Success team.
+
Can it tell me which customers are at risk of churning?
The agent can identify customers who express strong negative sentiment or repeatedly mention critical issues. By integrating with your CRM, this analysis can be used to create a 'health score' or automatically flag at-risk accounts for your Customer Success team.
+
How is this different from the text analysis tools in SurveyMonkey or Zendesk?
Those tools are excellent for analyzing data within their own silos. This agent's power is in consolidating and synthesizing feedback from *all* your channels—surveys, tickets, calls, reviews—into a single, unified view of the customer.
+
How is this different from the text analysis tools in SurveyMonkey or Zendesk?
Those tools are excellent for analyzing data within their own silos. This agent's power is in consolidating and synthesizing feedback from *all* your channels—surveys, tickets, calls, reviews—into a single, unified view of the customer.
+
How is this different from the text analysis tools in SurveyMonkey or Zendesk?
Those tools are excellent for analyzing data within their own silos. This agent's power is in consolidating and synthesizing feedback from *all* your channels—surveys, tickets, calls, reviews—into a single, unified view of the customer.
+
What is the output of the analysis?
The output is typically a structured dashboard or spreadsheet that summarizes the findings, including charts of key themes, sentiment trends, and a prioritized list of feature requests, all with drill-down capability to the source comments.
+
What is the output of the analysis?
The output is typically a structured dashboard or spreadsheet that summarizes the findings, including charts of key themes, sentiment trends, and a prioritized list of feature requests, all with drill-down capability to the source comments.
+
What is the output of the analysis?
The output is typically a structured dashboard or spreadsheet that summarizes the findings, including charts of key themes, sentiment trends, and a prioritized list of feature requests, all with drill-down capability to the source comments.
+
Next steps
Next steps
Building your roadmap on guesswork?
Send us an export of your latest survey data or support tickets. We'll show you the data-driven insights our AI agent can provide to guide your strategy.
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:
