An analytics agent by Qvasa

Quin

Your analytics assistant.

Build a dashboard from one prompt. Spin up brand new AI analyses on data you weren't tracking yet — backfilled across your history. Ask complex questions in plain English and get the answer, not a homework assignment.

Ask Quin
Build me a dashboard that tracks CSAT, ticket volume, agent response times, and contact reasons.
Got it — I'll put the right charts and filters together into a multi-tab dashboard. Building now…
Overview
Agents
Contact reasons
CSAT
94.2%
Tickets
12.4k
First reply
3m 12s
CSAT — last 30 days

An analyst that already knows your data — and how to ask better questions of it.

Quin sits on top of every metric, chart, filter, and conversation in Qvasa. It builds dashboards, reads tickets, classifies what it finds, and turns plain-English questions into the kind of analysis that used to take an analyst a week.

Most tools chart what you have. Quin creates the analysis, builds the filters, and gives you the answer — from one question.

01

Ask anything. Get the real number.

Skip the dashboards. Ask Quin a question about your support data — by group, organization, ticket field, or AI classification — and get the answer right in chat, with the breakdown to back it up.

Answers questions across every ticket field, agent, organization, and AI-classified attribute.
Numbers come straight from your live support data — no exports, no spreadsheets.
Follow up to drill in: filter, group by, segment, time-bucket — same conversation.
Ask Quin
How many address change tickets did we get from ABC Corp last month?
237 address change tickets in October — up 28% from September.
Email142
Chat67
Phone28
02

Build a dashboard from a single prompt.

Describe what you want to see. Quin chooses the right charts, wires up the right filters, and assembles a multi-tab dashboard in seconds. Fifteen widgets, three tabs, zero config menus.

Knows the full Qvasa widget library — quick stats, time series, donuts, leaderboards, configurable tables.
Picks the right visualization for each metric automatically.
Pre-configures filters, segments, and date ranges.
Overview
Agent performance
Contact reasons
CSAT
94.2%
Tickets / day
412
First reply
3m 12s
Volume — last 30 days
Reasons
03

Build or refine widgets. In one sentence.

Whether you're adding a brand-new widget or tweaking one you already have, just describe what you want. Quin combines standard ticket fields — group, channel, status, date range — with AI-classified attributes like sentiment, churn risk, and refund intent, then drops the widget on the right dashboard tab pre-configured.

Add new widgets or refine existing ones — same conversational interface.
Mixes standard ticket field filters with AI-generated classifications in a single ask.
Quin picks the chart, names the widget, and pre-fills every filter before you commit.
Agent Performance
+ Add widget
Overview
Agent Performance
Contact reasons
Avg first reply
3m 42s
Resolution rate
89%
Active agents
14
Replies per agent — last 7 days
Avg first touch time by agent AI New
Maya R.2m 14s
Jordan K.3m 02s
Priya S.4m 41s
Devon W.11m 27s
+ Add a widget — Ask Quin
Show me avg first touch time by agent, but only for billing tickets where the customer was flagged as a churn risk and had a frustrated sentiment — last 60 days.
Avg first touch time by agent
→ Add to: Agent Performance tab
Group: Billing Churn risk: Yes Sentiment: Frustrated Last 60 days
Maya R.2m 14s
Jordan K.3m 02s
Priya S.4m 41s
Devon W.11m 27s
Add to dashboard
Try something else
04

Create an AI analysis that didn't exist yet.

Ask Quin about something you're not tracking — churn risk, frustration, refund intent, escalation likelihood — and Quin spins up a brand new AI classifier, backfills your history, and starts auto-classifying every new ticket going forward.

No data engineering. No custom attributes. No manual tagging.
Historical context appears in seconds — not weeks.
Every new ticket gets classified automatically going forward.
Ask Quin
Are customers threatening to cancel? I want to know how many tickets involve churn risk.
That's not something we're tracking yet. I'll spin up a new AI analysis for it and backfill your history so you have the trend right away.
Backfilling history 8,432 tickets
#84291 Refund still pending, considering canceling Churn risk
#84292 Need help configuring webhook URL Clear
#84293 Switching to a competitor unless this is fixed Churn risk
#84294 How do I export tickets to CSV? Clear
#84295 Pricing plan no longer fits, looking around Churn risk
Processed 8,432 tickets — 1,938 flagged at risk
Churn risk AI
23%
flagged at-risk
Trend — 90 days AI
05

Wherever your team already works.

Quin lives in Slack too. @quin from any channel and pull real numbers from your support data into the conversation — no tab-switching, no context loss, no "let me go check".

Replies are threaded so the question, the answer, and the discussion all live together.
Permissions follow the user — Quin only surfaces what each teammate can already see in Qvasa.
support-ops
Daily ops & analytics
SC
Sarah Chen 9:14 AM
@quin why did our ticket volume spike this morning?
Quin is replying
Q
Quin App 9:14 AM
Volume is up +47% between 8–10 AM ET vs. yesterday's same window. Almost the entire spike is concentrated in billing-related contact reasons — everything else is on trend.
Volume vs. yesterday — 8–10 AM ET
Payment failed+312
Card declined+86
Subscription renewal error+44
All other reasons+8
Message #support-ops

All your data. One API. Any agent.

Qvasa ingests live data from every layer of your support stack — helpdesks, messaging, AI bots, and workforce management platforms — and exposes it through the AI Agent API. Use Quin to query it, or plug in Claude Cowork, your in-house copilot, or any MCP-compatible agent you trust.

Real-time integrations
Zendesk
Intercom
Sunshine Conversations
Quiq
Forethought
AWS S3
Tymeshift
Assembled
NICE IEX
Parallels
Real-time ingestion
The platform

Qvasa AI Agent API

One queryable surface for every metric, ticket, classifier, and conversation in Qvasa.

Query · answer
Use Quin or any agent of your choice
Q
Quin Qvasa's first-party agent
Claude
Claude Cowork or any Anthropic-built agent
Gemini
Gemini Or any Google-powered copilot
MCP
Any MCP client Standard interface, standard auth

Meet Quin.

See it build a dashboard, create a brand-new AI analysis, and answer the question your old reporting tool couldn't — in 60 seconds.