AI Customer Feedback Analysis Agent
Find the signal in your customer feedback noise
Find the signal in your customer feedback noise
V7 Go’s agent analyzes all your qualitative customer feedback, from app reviews to NPS comments. Delegate the task of reading everything, and get back a prioritized summary of what your customers are really telling you.
Why V7 Go
Why V7 Go
Thematic Analysis & Clustering
The agent reads thousands of pieces of feedback and automatically groups them into key themes. Discover if your customers are talking about 'pricing,' 'user interface,' 'performance speed,' or 'a specific feature request.'
Thematic Analysis & Clustering
The agent reads thousands of pieces of feedback and automatically groups them into key themes. Discover if your customers are talking about 'pricing,' 'user interface,' 'performance speed,' or 'a specific feature request.'
Thematic Analysis & Clustering
The agent reads thousands of pieces of feedback and automatically groups them into key themes. Discover if your customers are talking about 'pricing,' 'user interface,' 'performance speed,' or 'a specific feature request.'
Sentiment Analysis per Theme
Go beyond a simple positive/negative score. The agent determines the sentiment *for each theme*. This allows you to see that while customers are happy with your support, they are frustrated with your mobile app's performance.
Sentiment Analysis per Theme
Go beyond a simple positive/negative score. The agent determines the sentiment *for each theme*. This allows you to see that while customers are happy with your support, they are frustrated with your mobile app's performance.
Sentiment Analysis per Theme
Go beyond a simple positive/negative score. The agent determines the sentiment *for each theme*. This allows you to see that while customers are happy with your support, they are frustrated with your mobile app's performance.
Emerging Issue Detection
By analyzing feedback over time, the agent can detect emerging trends. Get an early warning if a new bug is being reported after a release, or if mentions of a competitor are suddenly increasing.
Emerging Issue Detection
By analyzing feedback over time, the agent can detect emerging trends. Get an early warning if a new bug is being reported after a release, or if mentions of a competitor are suddenly increasing.
Emerging Issue Detection
By analyzing feedback over time, the agent can detect emerging trends. Get an early warning if a new bug is being reported after a release, or if mentions of a competitor are suddenly increasing.
Cross-Platform Data Aggregation
The agent connects to all your feedback sources: App Store reviews, support tickets (Zendesk, Intercom), surveys (SurveyMonkey, Typeform), and NPS comments, creating a single, unified view of customer sentiment.
Cross-Platform Data Aggregation
The agent connects to all your feedback sources: App Store reviews, support tickets (Zendesk, Intercom), surveys (SurveyMonkey, Typeform), and NPS comments, creating a single, unified view of customer sentiment.
Cross-Platform Data Aggregation
The agent connects to all your feedback sources: App Store reviews, support tickets (Zendesk, Intercom), surveys (SurveyMonkey, Typeform), and NPS comments, creating a single, unified view of customer sentiment.
Feature Request Prioritization
Automatically extract and group all feature requests from your feedback. The agent can help you quantify which requests are most common, helping your product team prioritize the roadmap based on direct customer input.
Feature Request Prioritization
Automatically extract and group all feature requests from your feedback. The agent can help you quantify which requests are most common, helping your product team prioritize the roadmap based on direct customer input.
Feature Request Prioritization
Automatically extract and group all feature requests from your feedback. The agent can help you quantify which requests are most common, helping your product team prioritize the roadmap based on direct customer input.
Verifiable Source Links
Every insight or theme is linked back to the original pieces of feedback that support it. Click on the 'login issues' theme to instantly see all the support tickets and app reviews where customers mentioned that problem.
Verifiable Source Links
Every insight or theme is linked back to the original pieces of feedback that support it. Click on the 'login issues' theme to instantly see all the support tickets and app reviews where customers mentioned that problem.
Verifiable Source Links
Every insight or theme is linked back to the original pieces of feedback that support it. Click on the 'login issues' theme to instantly see all the support tickets and app reviews where customers mentioned that problem.
Why V7 Go
Process surveys, app reviews, and support ticket logs.
Identify customer pain points, feature requests, and sentiment trends.
Workflow
Workflow
Import your files
Zendesk
,
SurveyMonkey
,
App Store Connect
Customer Surveys (NPS, CSAT)
Customer Surveys (NPS, CSAT)
Customer Surveys (NPS, CSAT)
Customer Surveys (NPS, CSAT)
App Store & G2/Capterra Reviews
App Store & G2/Capterra Reviews
App Store & G2/Capterra Reviews
App Store & G2/Capterra Reviews
Support Tickets & Chat Logs
Support Tickets & Chat Logs
Support Tickets & Chat Logs
Support Tickets & Chat Logs
Social Media Mentions
Social Media Mentions
Social Media Mentions
Social Media Mentions
Sales & Customer Success Call Notes
Sales & Customer Success Call Notes
Sales & Customer Success Call Notes
Sales & Customer Success Call Notes
In-app Feedback Forms
In-app Feedback Forms
In-app Feedback Forms
In-app Feedback Forms
Top Customer Pain Points
Top Customer Pain Points
Top Customer Pain Points
Top Customer Pain Points
Most Requested New Features
Most Requested New Features
Most Requested New Features
Most Requested New Features
Sentiment Trend Analysis (by theme)
Sentiment Trend Analysis (by theme)
Sentiment Trend Analysis (by theme)
Sentiment Trend Analysis (by theme)
Emerging Bugs or Usability Issues
Emerging Bugs or Usability Issues
Emerging Bugs or Usability Issues
Emerging Bugs or Usability Issues
Competitive Mentions & Comparisons
Competitive Mentions & Comparisons
Competitive Mentions & Comparisons
Competitive Mentions & Comparisons
Positive & Negative Product Attributes
Positive & Negative Product Attributes
Positive & Negative Product Attributes
Positive & Negative Product Attributes
Root Cause of Customer Churn
Root Cause of Customer Churn
Root Cause of Customer Churn
Root Cause of Customer Churn
Key Drivers of Customer Loyalty
Key Drivers of Customer Loyalty
Key Drivers of Customer Loyalty
Key Drivers of Customer Loyalty
User Persona-Specific Feedback
User Persona-Specific Feedback
User Persona-Specific Feedback
User Persona-Specific Feedback
Onboarding Experience Issues
Onboarding Experience Issues
Onboarding Experience Issues
Onboarding Experience Issues
Time comparison
Time comparison
Time comparison
Time comparison
Traditional way
40-60 hours per quarter
40-60 hours per quarter
With V7 Go agents
2-3 hours
2-3 hours
Average time saved
90%
90%
V7 Go
V7 Go
V7 Go
V7 Go
AI-powered customer insight
for product and CX teams
Companies are sitting on a goldmine of customer feedback they can't use. Reviews, survey responses, support tickets, and NPS comments are spread across a dozen systems, and no one has time to manually read thousands of pieces of qualitative feedback. As a result, critical product issues are missed, customer frustrations go unaddressed, and the 'voice of the customer' is lost. V7 Go's Customer Feedback Analysis Agent automates this process, turning a sea of unstructured text into a clear, actionable signal.
Product Managers
Make data-driven roadmap decisions based on quantified customer needs. Stop guessing what to build next and start responding to your most common feature requests.
Product Managers
Make data-driven roadmap decisions based on quantified customer needs. Stop guessing what to build next and start responding to your most common feature requests.
Product Managers
Make data-driven roadmap decisions based on quantified customer needs. Stop guessing what to build next and start responding to your most common feature requests.
Product Managers
Make data-driven roadmap decisions based on quantified customer needs. Stop guessing what to build next and start responding to your most common feature requests.
Customer Experience (CX) Teams
Identify the root causes of customer dissatisfaction and the biggest drivers of customer delight. Get early warnings of widespread issues before they impact churn.
Customer Experience (CX) Teams
Identify the root causes of customer dissatisfaction and the biggest drivers of customer delight. Get early warnings of widespread issues before they impact churn.
Customer Experience (CX) Teams
Identify the root causes of customer dissatisfaction and the biggest drivers of customer delight. Get early warnings of widespread issues before they impact churn.
Customer Experience (CX) Teams
Identify the root causes of customer dissatisfaction and the biggest drivers of customer delight. Get early warnings of widespread issues before they impact churn.
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Cross-Platform Metrics
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Performance Benchmarking
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Connect to CRMs, ERPs, databases, and documents with our AI analytics agent. Track KPIs, analyze trends, and monitor performance consistently.
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Trend Discovery
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Connect to CRMs, ERPs, databases, and documents with our AI analytics agent. Track KPIs, analyze trends, and monitor performance consistently.
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Performance Benchmarking
Next steps
Stop letting customer feedback sit in silos.
Delegate the analysis to an AI agent and build a better product.
You’ll hear back in less than 24 hours
Next steps
Stop letting customer feedback sit in silos.
Delegate the analysis to an AI agent and build a better product.
You’ll hear back in less than 24 hours
Next steps
Stop letting customer feedback sit in silos.
Delegate the analysis to an AI agent and build a better product.
You’ll hear back in less than 24 hours
Next steps
Stop letting customer feedback sit in silos.
Delegate the analysis to an AI agent and build a better product.
FAQ
FAQ
FAQ
FAQ
Have questions?
Find answers.
How is this different from a standard business analytics agent?
A standard analytics agent focuses on quantitative data—KPIs, financial metrics, and numbers. This agent is different; it specializes in analyzing qualitative, unstructured text. It finds the 'why' behind the numbers by interpreting the nuances of customer language.
+
How is this different from a standard business analytics agent?
A standard analytics agent focuses on quantitative data—KPIs, financial metrics, and numbers. This agent is different; it specializes in analyzing qualitative, unstructured text. It finds the 'why' behind the numbers by interpreting the nuances of customer language.
+
How is this different from a standard business analytics agent?
A standard analytics agent focuses on quantitative data—KPIs, financial metrics, and numbers. This agent is different; it specializes in analyzing qualitative, unstructured text. It finds the 'why' behind the numbers by interpreting the nuances of customer language.
+
How is this different from a standard business analytics agent?
A standard analytics agent focuses on quantitative data—KPIs, financial metrics, and numbers. This agent is different; it specializes in analyzing qualitative, unstructured text. It finds the 'why' behind the numbers by interpreting the nuances of customer language.
+
What sources of feedback can the agent analyze?
The agent can ingest data from a wide variety of sources, including CSV exports from survey tools, direct API connections to platforms like Zendesk, Intercom, and Delighted, and it can even process public reviews from sites like G2, Capterra, or the Apple App Store.
+
What sources of feedback can the agent analyze?
The agent can ingest data from a wide variety of sources, including CSV exports from survey tools, direct API connections to platforms like Zendesk, Intercom, and Delighted, and it can even process public reviews from sites like G2, Capterra, or the Apple App Store.
+
What sources of feedback can the agent analyze?
The agent can ingest data from a wide variety of sources, including CSV exports from survey tools, direct API connections to platforms like Zendesk, Intercom, and Delighted, and it can even process public reviews from sites like G2, Capterra, or the Apple App Store.
+
What sources of feedback can the agent analyze?
The agent can ingest data from a wide variety of sources, including CSV exports from survey tools, direct API connections to platforms like Zendesk, Intercom, and Delighted, and it can even process public reviews from sites like G2, Capterra, or the Apple App Store.
+
How does the agent handle vague or sarcastic feedback?
The underlying LLMs have a sophisticated understanding of natural language, including sarcasm and indirect phrasing. The agent's workflow is also guided by rules that help it categorize ambiguous feedback. While no system is perfect, it can often distinguish genuine complaints from sarcastic praise far better than simple keyword-based systems.
+
How does the agent handle vague or sarcastic feedback?
The underlying LLMs have a sophisticated understanding of natural language, including sarcasm and indirect phrasing. The agent's workflow is also guided by rules that help it categorize ambiguous feedback. While no system is perfect, it can often distinguish genuine complaints from sarcastic praise far better than simple keyword-based systems.
+
How does the agent handle vague or sarcastic feedback?
The underlying LLMs have a sophisticated understanding of natural language, including sarcasm and indirect phrasing. The agent's workflow is also guided by rules that help it categorize ambiguous feedback. While no system is perfect, it can often distinguish genuine complaints from sarcastic praise far better than simple keyword-based systems.
+
How does the agent handle vague or sarcastic feedback?
The underlying LLMs have a sophisticated understanding of natural language, including sarcasm and indirect phrasing. The agent's workflow is also guided by rules that help it categorize ambiguous feedback. While no system is perfect, it can often distinguish genuine complaints from sarcastic praise far better than simple keyword-based systems.
+
Can we customize the themes the agent looks for?
Yes. While the agent can automatically discover themes on its own, you can also provide it with a list of key topics you are particularly interested in tracking, such as 'competitors,' 'onboarding experience,' or specific product features. The agent will then specifically categorize feedback related to those topics.
+
Can we customize the themes the agent looks for?
Yes. While the agent can automatically discover themes on its own, you can also provide it with a list of key topics you are particularly interested in tracking, such as 'competitors,' 'onboarding experience,' or specific product features. The agent will then specifically categorize feedback related to those topics.
+
Can we customize the themes the agent looks for?
Yes. While the agent can automatically discover themes on its own, you can also provide it with a list of key topics you are particularly interested in tracking, such as 'competitors,' 'onboarding experience,' or specific product features. The agent will then specifically categorize feedback related to those topics.
+
Can we customize the themes the agent looks for?
Yes. While the agent can automatically discover themes on its own, you can also provide it with a list of key topics you are particularly interested in tracking, such as 'competitors,' 'onboarding experience,' or specific product features. The agent will then specifically categorize feedback related to those topics.
+
How are the results presented?
The results are delivered in a structured report or an interactive dashboard. This typically includes a list of the top positive and negative themes, a trendline showing the volume and sentiment of each theme over time, and a 'voice of the customer' section with representative quotes for each key issue.
+
How are the results presented?
The results are delivered in a structured report or an interactive dashboard. This typically includes a list of the top positive and negative themes, a trendline showing the volume and sentiment of each theme over time, and a 'voice of the customer' section with representative quotes for each key issue.
+
How are the results presented?
The results are delivered in a structured report or an interactive dashboard. This typically includes a list of the top positive and negative themes, a trendline showing the volume and sentiment of each theme over time, and a 'voice of the customer' section with representative quotes for each key issue.
+
How are the results presented?
The results are delivered in a structured report or an interactive dashboard. This typically includes a list of the top positive and negative themes, a trendline showing the volume and sentiment of each theme over time, and a 'voice of the customer' section with representative quotes for each key issue.
+
What is the main business outcome of this analysis?
The main outcome is a more customer-centric product and business strategy. Product teams can build roadmaps based on what users are actually asking for. Support teams can identify the root cause of recurring tickets. Marketing teams can understand the core value propositions that resonate most with customers.
+
What is the main business outcome of this analysis?
The main outcome is a more customer-centric product and business strategy. Product teams can build roadmaps based on what users are actually asking for. Support teams can identify the root cause of recurring tickets. Marketing teams can understand the core value propositions that resonate most with customers.
+
What is the main business outcome of this analysis?
The main outcome is a more customer-centric product and business strategy. Product teams can build roadmaps based on what users are actually asking for. Support teams can identify the root cause of recurring tickets. Marketing teams can understand the core value propositions that resonate most with customers.
+
What is the main business outcome of this analysis?
The main outcome is a more customer-centric product and business strategy. Product teams can build roadmaps based on what users are actually asking for. Support teams can identify the root cause of recurring tickets. Marketing teams can understand the core value propositions that resonate most with customers.
+