Viable

Viable: AI Tool for Qualitative Data Insights

Viable: A powerful AI tool for analyzing unstructured qualitative data at scale using GPT-4—deep insights, no spreadsheets.

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Viable - Introduction

Viable Website screenshot

What is Viable?

Viable is a next-generation AI research platform engineered to transform raw, unstructured qualitative data—like open-ended survey responses, support conversations, sales call notes, and employee feedback—into clear, strategic insights. Powered by GPT-4 and fine-tuned for research rigor, Viable goes beyond keyword tagging or sentiment scores: it identifies nuanced themes, uncovers hidden patterns, and surfaces root-cause drivers—all in plain English, with zero manual coding or spreadsheet wrangling.

How to use Viable?

Getting started with Viable takes minutes—not weeks. Connect your data sources with one-click integrations: Zendesk, Intercom, Front, Delighted, SurveyMonkey, Gong, Chorus, or Salesforce for CRM notes. For custom pipelines, use Zapier or upload CSV/Excel files directly. Once synced, Viable's AI automatically cleans, clusters, and interprets your data—generating rich, narrative-style reports, interactive dashboards, and trend alerts you can share across teams instantly.

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Viable - Key Features

Key Features From Viable

GPT-4–powered thematic analysis at enterprise scale

Zero spreadsheet dependency—no formulas, no pivot tables, no SQL

Automated weekly insight briefings highlighting emerging trends & priority signals

Intuitive filtering by metadata: segment by user cohort, product line, region, sentiment, or custom tags

Multi-source synthesis: unify feedback from support tickets, interviews, NPS comments, usability tests, and internal surveys

Context-aware analysis that preserves meaning, tone, and intent—not just keywords

Enterprise-grade security: SOC 2 Type 2 certified, PII redaction built-in, and fully compliant with GDPR & CCPA

Viable's Use Cases

Product Management: Turn fragmented user feedback into prioritized roadmaps—validated by real quotes and recurring pain points

Customer Experience: Proactively detect friction points before churn spikes—and measure CX improvements quantitatively

Customer Research: Replace hours of manual coding with AI-assisted affinity mapping and journey synthesis

Marketing Insights: Discover authentic language, emotional triggers, and unmet needs to inform messaging, positioning, and campaign strategy

Employee Engagement: Surface quiet concerns, recognition gaps, and culture signals from pulse surveys, exit interviews, and Slack feedback

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Viable - Frequently Asked Questions

FAQ from Viable

What is Viable?

Viable is an AI research platform purpose-built for qualitative data. It leverages advanced large language models—including GPT-4—to interpret human language with contextual depth, delivering trustworthy, narrative-rich insights without requiring research expertise or technical tools.

How to use Viable?

Start by connecting your data sources via native integrations or file uploads. Viable handles ingestion, normalization, and analysis automatically. Within hours—not days—you’ll receive dynamic reports, searchable theme libraries, and customizable alerts—ready for stakeholder review or integration into your existing workflows.

What data sources can be analyzed with Viable?

Viable supports diverse qualitative inputs: customer support logs, sales and success call transcripts, survey open-ends, interview notes, usability test observations, social media comments, employee engagement feedback, and even internal documentation or product usage notes.

How does Viable ensure the security of the data?

Viable is SOC 2 Type 2 certified, encrypts data in transit and at rest, performs automated PII redaction, and offers optional private deployment options. All processing respects strict data residency requirements—and no customer data is used to train public AI models.

How accurate are the insights generated by Viable's AI?

Viable combines GPT-4’s linguistic fluency with proprietary research methodologies—including human-in-the-loop validation, inter-rater reliability checks, and domain-specific fine-tuning—to ensure analytical rigor, consistency, and business relevance—not just surface-level summaries.

Can Viable handle large amounts of data?

Absolutely. Viable scales seamlessly—from hundreds to millions of verbatim responses. Its architecture supports unlimited users, concurrent analyses, and real-time ingestion across dozens of integrated sources—making it ideal for fast-growing teams and global enterprises alike.

What is the setup process for using Viable?

Setup is intentionally lightweight: authenticate one or more data sources (typically under 5 minutes), optionally configure metadata tags or filters, and let Viable begin analyzing. Onboarding includes dedicated support, best-practice guidance, and co-piloted insight reviews to accelerate time-to-value.