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Spiral

Spiral

Analyze your reviews & support data with AI

Overview

What it is

Ask our AI Agent anything across your customer reviews, support chats, calls, and surveys; get root causes by version, device, and plan - with proactive alerts before issues get expensive.

Intent

I need it when

Monitor customer sentiment trends over time to track product health and customer satisfaction

Spiral provides advanced sentiment analysis with historical data backfill (6-12 months depending on plan) and generates daily/weekly AI digest reports showing sentiment trends. Users can analyze sentiment changes over specific periods to measure product health.

Centralize customer feedback analysis from multiple sources (app stores, support platforms, surveys) in one place

Spiral integrates with 76+ data sources including Google Play, Salesforce, Zendesk, Genesys, and Qualtrics. Users can analyze feedback from 2-3 channels (Starter) up to unlimited channels (Enterprise) through a single AI interface.

Identify feature requests and product improvement opportunities from customer feedback

Spiral performs theme analysis and taxonomy-based categorization across feedback channels to surface what features users are requesting most. The AI digest reports and emerging issues notifications highlight product improvement opportunities automatically.

Understand customer pain points and complaints at scale without manually reading thousands of reviews

Spiral's AI agent automatically analyzes millions of reviews, live chats, and calls to identify users' biggest complaints and sentiment trends. Users can ask natural language questions like 'What are users' biggest complaints?' and receive instant insights, eliminating manual review reading.

Share customer insights with team members and stakeholders through automated reports

Spiral generates AI digest reports and advanced KPI tracking dashboards that can be shared via Slack integration (Starter+) or custom reporting (Enterprise). This enables teams to stay aligned on customer feedback without manual compilation.

Drop

Not a fit when

  • User needs real-time customer support ticket management rather than post-hoc review analysis
  • Organization requires on-premise deployment or cannot use cloud-based SaaS solutions
  • User needs to analyze feedback in languages outside the 76+ supported languages
  • Company has no existing customer feedback data sources (reviews, chats, calls, surveys) to analyze
  • User requires custom AI model training specific to their industry terminology without enterprise support
Commercials

Pricing

Freemium with tiered paid plans: Free (limited), Starter ($custom/month for 2K feedback pieces), Growth ($custom/month for 10K feedback pieces), and Enterprise (custom pricing for unlimited feedback pieces). Annual discounts available. View pricing