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Transform massive volumes of unstructured feedback into structured product intelligence with generative AI.

Viable is a leading-edge AI feedback analyzer designed for enterprise-scale product and CX teams. In the 2026 market landscape, Viable distinguishes itself through its proprietary 'Analysis-as-an-Agent' architecture, which moves beyond simple keyword tagging into deep semantic reasoning. The platform utilizes advanced Large Language Models (LLMs) like GPT-4o and Claude 3.5 Sonnet to ingest thousands of data points from diverse sources—including Zendesk tickets, Intercom chats, App Store reviews, and Gong transcripts. It then automatically clusters these into hierarchical themes, identifies urgent friction points, and generates human-readable reports that quantify the business impact of specific user complaints or requests. Its 2026 positioning focuses on 'Predictive Feedback,' where the system doesn't just analyze what happened but predicts churn risk based on the emotional trajectory of customer conversations. Technically, Viable offers a robust infrastructure for data anonymization (PII scrubbing), ensuring enterprise-grade compliance while delivering a sub-minute latency for real-time dashboard updates. This makes it an essential tool for companies moving toward data-driven roadmap prioritization.
Viable is a leading-edge AI feedback analyzer designed for enterprise-scale product and CX teams.
Explore all tools that specialize in analyze customer feedback. This domain focus ensures Viable delivers optimized results for this specific requirement.
Explore all tools that specialize in sentiment analysis. This domain focus ensures Viable delivers optimized results for this specific requirement.
Cross-references customer feedback with CRM data (Salesforce/HubSpot) to calculate the dollar value associated with specific feature requests.
Uses vector embeddings to identify and merge duplicate feedback entries that use different phrasing.
AI dynamically generates a tag structure based on the data, rather than requiring manual setup.
Analyzes tone and frequency of support tickets to assign a churn risk probability to specific accounts.
A GPT-powered interface that allows users to ask questions like 'What are the top 3 complaints from Enterprise users this month?'
Native translation and sentiment analysis for over 50 languages using multilingual LLMs.
Webhook-driven notifications triggered by semantic anomalies or high-urgency keywords.
Create a secure account and complete the workspace setup.
Connect primary data sources via native integrations (e.g., Zendesk, Intercom).
Map custom metadata fields (e.g., MRR, Plan Type) to enable revenue-based filtering.
Configure PII scrubbing rules to ensure data privacy and compliance.
Run an initial historical data sync to establish a sentiment baseline.
Define 'Strategic Areas' to focus the AI on specific product modules.
Set up automated 'Alerts' for sudden spikes in negative sentiment.
Invite cross-functional team members and set granular access permissions.
Review the first AI-generated summary report for accuracy and context.
Schedule weekly executive briefings to be delivered via email or Slack.
All Set
Ready to go
Verified feedback from other users.
"Users consistently praise Viable for its ability to summarize complex feedback into actionable insights, though some find the high price point a barrier for smaller startups."
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