Find the step where users stall

Every conversation, channel, and teammate measured as it happens — so you spot the sticking point today, not in next quarter's BI project.

Conversations

Inbound volume, channels, and where the load lands.

Last 30 daysChannelTeammate

New conversations

Snapshot · Last 30 days

1,2099.6% vs prev

Replies sent

Snapshot · Last 30 days

3,5477.2% vs prev

Closed conversations

Snapshot · Last 30 days

1,0224.8% vs prev

Backlog

Snapshot · Live

38

Conversation volume

Trend · Last 30 days

Jun 12Jun 19Jun 26Jul 3Jul 10

Volume by channel

Share · Last 30 days

5.8k
Web widget44%Email25%WhatsApp15%Telegram10%Instagram6%

Hourly distribution

Breakdown · Last 30 days

00:0006:0012:0018:0023:00

Open the app, read the answer

The reports you'd otherwise spend a sprint assembling are already built — open one and see it.

Conversations

Where questions come from, and the hours they spike.

Responsiveness

Speed to first answer and to close — team-wide and per person.

Team performance

Load, replies, and satisfaction for every teammate.

Customer satisfaction

Where ratings climb or slip — by channel, tag, and agent.

AI agent

What the agent clears alone, and the questions that stall it.

Tags and topics

What users ask most, and the mood around each theme.

One screen with your numbers on it

Drag the metrics you actually check into one home view — sized, named, yours. A team decision, not a template.

Trust the AI with evidence

What it clears alone and where it hands off — enough visibility to rely on it or retrain it.

Meet the AI agent

Overload shows up here first

Per-teammate load and ratings in one glance — caught before anyone burns out.

Users tell you what's broken

Every conversation files into a topic — so a 23% jump in refund questions climbs the board while it's still happening.

You'll know first

A surge whispers before it screams — you see it at 2×, not when the queue is already burning.

Coverage planned beside the work

Shifts, time off, and who is online right now — organized in the same tool the queue lives in.

Short questions, straight answers

What's visible, how quickly numbers update, and where CSAT comes from.

Six reports, prebuilt: Conversations, Team performance, Responsiveness, AI agent, Customer satisfaction, and Tags & topics. Each mixes KPIs, trends, and breakdowns; all of them can be rearranged or extended, and the layout you end up with is saved to your account.
Yes. There are 33 widgets in the catalog, spanning Support, Team, AI, CSAT, and Knowledge base. Drop them on a free grid, drag and resize, rename any widget, switch its chart type, or pin it to its own timeframe — everything saves automatically as you go.
Most metrics refresh on their own within about five minutes, with dashboards precomputed in the background so pages open instantly. Operational numbers — the current backlog, who's online — update roughly every 30 seconds.
From real ratings inside conversations: users mark replies helpful or unhelpful, and those marks roll up into a score, a distribution, a trend line, and breakdowns by teammate, channel, and tag. There is no separate survey to configure.
The AI agent report tracks containment (conversations closed without a human), the escalation rate, and the bot-versus-human split over time. It also clusters the questions your AI failed to answer into knowledge gaps, ranks them by frequency, and turns any gap into a ready answer in one click.
Yes. The filter bar on every report offers timeframe presets (Today through quarter-to-date), each teammate individually, and all eight channels — email, chat widget, Telegram, WhatsApp, SMS, Instagram, Intercom, and Zendesk. A filter applies to every widget on the page at once.

Replace hunches with numbers

AI and human metrics, live from the first conversation onward.