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Customer Service

What's promised gets tracked

Every request becomes a ticket with its own target deadline. The board shows what's overdue, who's overloaded, and analytics tell you whether your service promises are being kept.

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How it works

Delays show up before the complaint does

Delay is visible before the complaint

Define your first-response and resolution deadlines: tickets approaching the deadline rise up, those past it show as "overdue". The team works in the right order without needing a reminder.

  • Deadlines by priority
  • Queue sorted by real urgency
  • Overdue alerts
  • Complete history per ticket

Numbers to improve on

First-response time, resolution time, volumes by channel, satisfaction: analytics by agent and by period show where things get stuck and where they shine. Customer service becomes manageable on data.

  • Tables by channel and by agent
  • Trends over time
  • Dedicated analysis tabs
  • Data export

FAQ

Frequently asked questions

Are tickets linked to chat conversations?

Yes: a conversation can become a ticket in one click, and the ticket keeps a link back to the original exchange and the contact's record.

How does an SLA work?

You set a first response time and a resolution time per request type or per customer. What breaches it appears in an “overdue” queue — visible, not buried in a monthly report.

Can tickets be assigned automatically?

Yes, round-robin or by rules. A ticket with no owner is a ticket that drifts.

Can a ticket be linked to a piece of equipment or a contract?

Yes, through custom objects. A manufacturer's support team links the request to the serial number concerned.

Which statistics are available?

Volumes, delays, resolution rate without human intervention, SLA compliance, by channel, by agent and by period.

Another question? Write to us — a human will answer.

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