Viable is an AI-powered qualitative analysis tool used by marketers, customer support teams, product managers, and UX researchers to sort, tag, and query customer feedback data. Reports can be customized to highlight top complaints, questions, and requests from customers. Viable also boasts an NLP question-and-answer system with real-time results.

Though similar to qualitative research tools like Notably and workspace tools like Mem.ai, Viable also benefits from analytics, AI, and GPT-4 technology. With it, marketers can query customer feedback and understand sentiment using Natural Language Processing, visualizing results through graphs or diagrams and generating ready-made reports. Importing product review spreadsheets, call transcripts, chats, and surveys is a breeze with Viable.

GPT-4 automations

Unlike other customer sentiment analysis tools, Viable comes with a comprehensive analysis service. This includes weekly written analyses spanning a dozen to hundreds of paragraphs on topics like product management, customer experience, and marketing.

Aggregate feedback across channels

Viable is a Voice of the Customer tool that aggregates customer feedback across channels. Users can set it up to harvest data from product reviews, chat responses, helpdesk replies, social media platforms, call transcripts, employee surveys, and many other channels. It then provides its NPS analysis, customer sentiment breakdowns, and other reports using eye-catching, accurate, and dynamic graphs and diagrams.

API and Integrations

One of the best things about the Viable AI tool is its out-of-the-box integrations. Users of Zendesk, Delighted, Intercom, Front, and Zapier can seamlessly transition from their existing tech stack or use Viable alongside their corporate tools.

Automatically draws powerful insights from qualitative data

Viable is a qualitative data platform with all the trimmings. It’s a tool brimming with capabilities no marketer should be without, from high-quality data harvesting, first-rate organization, and clever tagging to NLP querying and powerful analytics.