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What is Viable?

Viable is a qualitative research tool that uses AI to analyse customer feedback, interviews, and survey responses. It helps teams identify patterns, themes, and insights from unstructured text data without manual coding or lengthy analysis. The tool is designed for product managers, researchers, marketers, and customer success teams who need to make sense of large volumes of qualitative data quickly. Viable speeds up the research process by automatically tagging and categorising feedback, making it easier to spot what customers actually care about and where problems exist.

Key Features

Automated coding and tagging

AI categorises qualitative feedback into themes without manual setup

Sentiment analysis

Identifies positive, negative, and neutral sentiment across feedback sources

Pattern recognition

Surfaces recurring themes and topics across customer interviews and surveys

Integration with data sources

Connects to surveys, interview transcripts, and feedback platforms

Custom reports

Generates summaries and visualisations of key findings for stakeholders

Collaboration tools

Allows teams to review, discuss, and export insights together

Pros & Cons

Advantages

  • Significantly reduces time spent manually reading and coding qualitative data
  • Freemium model lets you test the tool on real feedback before committing to paid plans
  • Accessible to non-researchers; no training required to extract meaningful insights
  • Works with messy, real-world feedback rather than requiring perfectly structured data

Limitations

  • Accuracy of AI coding depends on quality and clarity of the source feedback
  • Free tier likely has limitations on volume of data analysed or number of projects
  • Requires some interpretation of results; AI findings still benefit from human review

Use Cases

Analysing customer interview transcripts to inform product roadmap decisions

Processing survey responses from hundreds of users to identify top problem

Reviewing support tickets and chat logs to spot recurring issues

Synthesising feedback from multiple sources before presenting to leadership

Tracking how customer sentiment changes across product updates or campaigns