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AI-Powered Customer Intelligence

Spiral Intelligence Customer Intelligence & Conversation Analytics

Spiral analyzes customer feedback across calls, chats, emails, surveys, reviews, and support tickets to uncover ultra-specific issues, root causes, emerging trends, and cost-saving opportunities.

100%

Feedback Analyzed

98%

Issue Detection

1-3 days

Typical Integration

24/7

Insight Monitoring

Quick Answer

What Is Spiral AI Customer Intelligence?

Spiral adds an AI intelligence layer across your customer feedback channels, turning fragmented and unstructured support data into clear business insights.

Instead of manually reviewing small samples of calls, chats, emails, surveys, reviews, and support tickets, Spiral helps teams identify recurring issues, root causes, emerging trends, cost drivers, and customer experience opportunities at scale.

100%

Channel Analysis

95%

Blind Spot Closed

AI

Searchable Insights

The Customer Feedback Blind Spot

Most businesses collect thousands of customer conversations, but only a small portion becomes usable business intelligence.

The 95% Blind Spot

Customer feedback is often trapped across disconnected systems: contact center platforms, CRM tools, emails, chats, social, reviews, surveys, and support tickets.

Traditional dashboards and manual tagging only show part of the truth. That means critical customer issues, avoidable contacts, product friction, and cost drivers can stay hidden until they become expensive problems.

Fragmented data keeps teams from seeing the full customer journey.

Manual tagging creates delays, bias, and outdated issue categories.

Small samples miss emerging issues and unknown customer pain points.

Slow reporting prevents teams from fixing issues before they escalate.

Hidden costs build up through repeat contacts, escalations, and churn risk.

What Spiral Does

Spiral transforms raw customer conversations into searchable, structured, and actionable intelligence.

Unifies Feedback

Brings together calls, chats, emails, NPS, social, reviews, and support data into one intelligence layer.

Detects Issues

Uses AI, LLMs, clustering, and classifiers to identify ultra-specific customer issues and root causes.

Makes Data Searchable

Allows teams to ask plain-language questions and get quantified answers about customer issues.

Creates Business Metrics

Turns customer feedback into trends, issue volume, financial impact, and operational priorities.

Key Benefits

Move from reactive reporting to proactive customer intelligence.

Analyze 100% of Feedback

Move beyond small samples by analyzing feedback across every major customer interaction channel.

Find Root Causes

Understand why customers are contacting support, what changed, and which issues need action.

Detect Emerging Trends

Surface sparse signals and growing issues before they show up in traditional dashboards.

Ask Questions in Plain Language

Let teams ask questions like, 'Which issues are driving refunds this month?' and get clear answers.

Reduce Avoidable Costs

Identify repeated contact drivers, long-handle-time issues, and unnecessary support volume.

Prioritize Business Action

Give CX, support, operations, product, and leadership teams the same source of customer truth.

How Spiral Works

From scattered customer feedback to searchable, decision-grade intelligence in six clear steps.

Step 1

Connect Feedback Channels

Spiral connects to the places where customer conversations already happen, including calls, chats, emails, surveys, social, reviews, support tickets, and CRM data.

CallsChatsEmailsReviews

Step 2

Unify Customer Conversations

Spiral brings fragmented feedback into one intelligence layer so your teams are not relying on disconnected reports, manual samples, or siloed systems.

Omnichannel dataSingle source of truthNo fragmented views

Step 3

Generate an AI Taxonomy

Instead of manual tagging, Spiral uses AI, LLMs, and clustering to automatically create an evolving issue taxonomy from your actual customer data.

No manual labelsEvolving categoriesLess human bias

Step 4

Classify Customer Issues

Spiral classifies conversations into ultra-specific issues, including chief complaints, sub-issues, user stories, and emerging signals.

Chief complaintsSub-issuesUser stories

Step 5

Detect Trends & Root Causes

Spiral analyzes patterns across conversations and metadata to reveal what is happening, why it is happening, and which issues are growing.

Root cause analysisEmerging trendsIssue drivers

Step 6

Ask the AI Agent & Act

Teams can ask plain-language questions and get quantified answers they can use to reduce costs, improve CX, prioritize fixes, and eliminate avoidable contacts.

Natural-language searchQuantified answersActionable insights

Spiral Use Cases

Spiral's customer intelligence can be used across teams to find hidden insights, reduce avoidable costs, and improve customer experience based on real customer conversations.

Customer Experience Teams

Track customer pain points, sentiment shifts, CSAT drivers, NPS feedback, and recurring experience issues.

Support & Contact Centers

Identify top contact drivers, reduce repeat contacts, improve AHT, support coaching, and improve SLA performance.

Product Teams

Discover feature requests, usability issues, bugs, release feedback, and customer-prioritized roadmap opportunities.

Operations Teams

Find process breakdowns, service failures, workflow gaps, escalation patterns, and friction points.

Finance Teams

Understand cost drivers, avoidable contacts, refund issues, churn risk, and financial impact by issue type.

Executive Leadership

Get decision-grade customer intelligence for prioritizing operational fixes, CX investments, and business strategy.

AI & Analytics Teams

Spiral's AI agent and API allow analytics teams to build custom applications, dashboards, and workflows on top of the customer intelligence layer.

Quality Assurance Teams

Use Spiral to analyze QA feedback, identify common failure points, and prioritize coaching and training opportunities based on real customer conversations.

Business Intelligence Teams

Integrate Spiral's customer intelligence with BI tools to correlate customer issues with operational metrics, financial performance, and other key business indicators.

Risk & Compliance Teams

Leverage Spiral to monitor customer conversations for compliance risks, emerging regulatory issues, and potential legal concerns based on real customer feedback.

Marketing Teams

Use Spiral to analyze customer sentiment, product feedback, and emerging trends to inform marketing strategy, messaging, and campaign targeting.

Innovation Teams

Spiral can help innovation teams identify unmet customer needs, emerging trends, and new product opportunities based on real customer conversations and feedback.

All Teams

Spiral's unified customer intelligence can be used across all teams to ensure everyone is aligned around the same source of customer truth and can prioritize action based on real customer insights.

Spiral for Cost Reduction

Find and eliminate the avoidable contacts that quietly drain time, budget, and team capacity.

Avoidable contacts identify repeated reasons customers contact support unnecessarily.

AHT drivers understand which issues increase handle time and agent effort.

Refund drivers surface the customer issues most connected to refunds and escalations.

Self-service gaps find topics that should be solved through knowledge base or automation.

Operational waste prioritize fixes that reduce repeat workload and improve productivity.

Cost Reduction Opportunities

Contact Volume

Identify repeated issues that create unnecessary customer support interactions.

Agent Productivity

Improve training, self-service, and workflows based on real customer friction.

Root Cause Elimination

Move from reporting on support volume to eliminating the reasons behind it.

Spiral for Customer Experience Transformation

Build a smarter Voice of Customer program that helps teams act before small issues become major problems.

Listen Across Every Channel

Unify calls, chats, emails, reviews, surveys, social feedback, and support tickets into one view of customer truth.

Move From Reactive to Proactive

Detect emerging issues early, understand customer effort, and prioritize fixes before problems grow.

Align Teams Around Action

Give CX, support, product, operations, finance, and leadership teams the same decision-grade customer intelligence.

Real Customer Impact: Turo

Spiral helped Turo analyze customer feedback in real time, pinpoint pain points, and improve proactively.

Turo used Spiral to move beyond simple reporting and build a smarter Voice of Customer program. The platform helped pinpoint the “why” behind customer conversations, improve agent training, optimize self-service, and reduce customer friction.

See Similar Opportunities
28s

Reduction in Average Handle Time

91%

Improvement in SLA Performance

5%

Increase in CSAT Scores

Ready to See What Your Customers Are Really Saying?

AI Trusted Advisors can help your business explore how Spiral can uncover hidden customer insights, reduce avoidable costs, and improve customer experience.

Frequently Asked Questions

Get instant answers to common questions about our Voice AI solutions

Spiral is an AI-powered customer intelligence platform that analyzes support conversations and feedback across channels such as calls, chats, emails, surveys, social, and reviews. It turns unstructured customer feedback into searchable insights, issue trends, root causes, and decision-grade intelligence.

Traditional analytics often depends on manual tagging, predefined dashboards, limited sampling, and slow taxonomy setup. Spiral uses AI, LLMs, clustering, and classifiers to analyze 100% of customer conversations, automatically generate issue taxonomies, detect ultra-specific issues, and make feedback searchable through an AI agent.

Spiral can analyze customer calls, live chats, emails, NPS feedback, social feedback, reviews, support tickets, CRM data, and other conversational or feedback sources. The goal is to unify fragmented customer feedback into one intelligence layer.

Spiral is designed as a lightweight, platform-agnostic solution. The materials describe integration with existing CCaaS, CRM, and BI tools in typically 1-3 days, helping teams move from setup to insight much faster than legacy conversational analytics platforms.

Spiral helps teams discover primary contact drivers, chief complaints, sub-issues, user stories, emerging customer issues, refund drivers, product friction, SLA issues, customer effort drivers, and other root causes hidden inside support conversations.

Spiral is useful for customer experience leaders, executive leadership, support and contact center teams, product teams, operations teams, finance leaders, marketing teams, QA teams, and other teams. Each team can use the same source of customer truth to prioritize fixes and improve business outcomes.

Yes. Spiral helps identify avoidable contacts, repeated issues, long handle-time drivers, customer effort drivers, and operational friction. By finding the root causes behind unnecessary support volume, teams can reduce contact volume, improve self-service, train agents better, and lower operational waste.

According to the Spiral materials, Turo saw a 28-second reduction in Average Handle Time, a 91% improvement in SLA performance, and a 5% increase in CSAT within three months. Spiral helped Turo analyze customer feedback in real time and pinpoint areas for proactive improvement.