Viable

Overview

Viable is a web-based analysis tool built for teams that work with large volumes of open-ended text, such as customer interviews, survey responses, support tickets, and product reviews. Instead of reading every response by hand, the platform APPlies AI to organize, tag, and summarize qualitative material so researchers and product teams can reach conclusions faster while keeping the original context intACT. The service is aimed at organizations that want the speed of automation without flattening the richness of human feedback.

What it does

At its core, Viable ingests unstructured text and IDEntifies recurring themes, sentiment, and patterns across a dataset. Users can upload or connect feedback sources, then review AI-generated groupings alongside the underlying quotes. The result is a layered view: high-level summaries for stakeholders and traceable evidence for analysts who need to verify a finding before acting on it.

Key capabilities

• Automated thematic analysis: Group open-ended responses into clusters and categories that reflect what respondents actually said.
• Sentiment and tone detection: Surface how customers feel about specific topics, features, or touchpoints.
• Summaries with source quotes: Generate concise reports that link back to raw feedback so insights stay auditable.
• Flexible data intake: Bring in survey exports, interview transcripts, or support conversations for combined analysis.
• collaboration for research teams: Share findings and reports with product, marketing, or leadership stakeholders.

Feature availability and the exact set of integrations may vary by plan and may change over time, so it is worth confirming current capabilities directly with the vendor.

Who it is for

Viable suits UX researchers, product managers, Customer Experience teams, and Marketing analysts who regularly handle qualitative data at scale. It is particularly useful for organizations running continuous discovery programs, where the volume of interview transcripts and survey comments quickly outpaces manual coding. Teams with liMITed research headcount can use it to triage feedback faster, while experienced researchers can use it as an assistive layer rather than a replacement for interpretation.

How to get started

1. Create an account on the Viable website and explore the trial or dEMO option if available.
2. Connect or upload a Sample dataset, such as a batch of survey responses or interview transcripts.
3. Run the automated analysis and review the generated themes next to the original quotes.
4. Refine categories, adjust groupings, and export or share a summary with your team.
5. Expand to larger datasets once the Workflow fits your research process.

Pricing and access

Viable is accessed through a web browser and typically offers trial and paid tiers, with pricing tiers and free access limits that may change, so check the official site before committing. Because plans and thresholds can shift, treat any specific pricing figure as subject to confirmation. Overall, Viable is a practical option for teams that need to compress qualitative analysis Timelines while preserving the evidence behind each insight.