Contact center analytics that cuts avoidable volume
Spiral reads 100% of your contact-center conversations across calls, chats, emails and tickets, then ranks the issues driving repeat contacts, long handle times and escalations.
Deploy in days. SOC 2 Type II, HIPAA and GDPR ready.
What is contact center analytics?
Contact center analytics turns the conversations your center handles every day into structured insight. Instead of grading a 2% QA sample, Spiral reads 100% of interactions, groups them into specific recurring issues, and shows the root cause behind each one. The result is a ranked view of what is driving contacts, handle time and escalations, so leaders fix causes instead of chasing symptoms.
Outcomes for contact center leaders
Move from reporting on volume to eliminating the reasons behind it.
Reduce repeat contacts
Find the root causes behind avoidable and repeated contacts, then fix them through self-service, process or coaching.
Lower handle time
Surface the issues that inflate AHT and agent effort, and prioritize the ones with the biggest impact.
Sharper coaching
Base coaching and training on real customer conversations and common failure points, not anecdotes.
Catch escalation drivers
Detect the issues most connected to escalations and SLA breaches before they grow.
Ask in plain language
Ask which issues drive refunds or long calls this month and get ranked answers with the evidence attached.
One source of truth
Give CX, support and operations the same decision-grade view of what customers are contacting about.
Contact center analytics is one job Spiral does. Explore the full customer intelligence platform.
See your contact drivers on your own data
Start a free proof of concept and let Spiral rank the issues driving your contact volume.
Frequently Asked Questions
Get instant answers to common questions about our Voice AI solutions
Contact center analytics is the practice of analyzing contact-center conversations and metadata to understand contact drivers, handle time, sentiment and recurring issues. Spiral reads 100% of interactions rather than a QA sample.
By finding the root causes behind why customers contact support, Spiral shows which issues drive avoidable and repeat contacts, so teams can fix the cause through self-service, process changes or coaching.
No. Spiral analyzes calls, chats, emails, surveys, reviews and social together, so the analysis reflects the whole customer picture, not just voice.
Spiral surfaces the issues that drive long handle times and escalations, and ranks them by impact, so teams prioritize the fixes that move AHT and SLA the most.
Spiral connects to existing contact-center and CRM systems and can be set up in days when no custom integration is needed. A free proof of concept shows value on your own data first.