Every conversation,
an actionable insight.
Analytics brings together volume, user journey, topic mix, team performance and phrases the bot doesn't understand in one dashboard. No exports, no spreadsheets, no guessing.
Volume and journey at a glance
Conversations, messages and unique users with delta against the previous period. Below, the average time each user spends at each stage of the flow.
Live categories, not dead reports
The classifier taxonomy feeds directly into Analytics. Volume, satisfaction and trend by topic, with no manual work.
Agents and fallback, measured
Conversations handled by each agent against the team average. Monthly fallback against the target and the exact phrases that break the bot.
Five questions.
Five dashboards.
How much did we talk this month?
Period totals with delta against the previous and daily sparkline. Conversations, messages per conversation and unique users, always visible at the top of the dashboard to know if we hit a peak or a dip.
- Totals with delta vs. previous period
- Daily sparkline per KPI
- Range: 7d, 30d, 90d, 12m or custom
- Filter by channel, bot or team
- CSV export with one click
- Comparison against your own baseline
Where the conversation gets stuck.
The average time at each stage of the flow — bot, hand-off, agent, wait — broken down by bars and with month-over-month evolution. Wait time is almost always 90% of the total; now you know exactly which and how much.
- 5 stages: bot, bot+agent, agent, pending wait, agent wait
- Delta per stage vs. previous period
- Stacked, grouped or by stage view
- Automatic bottleneck insight
- Alerts when wait exceeds SLA
When they arrive and who comes back.
A donut separates recurring users from new ones. A monthly line crosses conversations, messages and unique users. And a heatmap by hour of day shows you the exact peak — so you can size shifts and campaigns against real demand.
- Recurring vs. new with % of total
- Monthly triple series: conv / msg / users
- Heatmap hour × day of week
- Automatic highlighted peak
- Basis for shift planning
The map of your operation.
The classifier taxonomy sorted by volume and contrasted with net satisfaction. The quadrants tell you where to prioritize: high volume with low satisfaction is your next improvement, high volume with high satisfaction is your strength.
- Top 15 categories + long tail in "Others"
- Volume × satisfaction scatter with quadrants
- Month-over-month mix evolution
- Prioritized insight: high volume, low satisfaction
- Direct link to the classifier
Who handles. What it doesn't understand.
Volume of conversations handled by each agent contrasted with the team average. In parallel, the bot fallback rate and the exact phrases that break it — the short list that, if you train, moves the needle fast.
- Conversations per agent vs. team average
- Double-click to see individual detail
- Monthly fallback evolution with target
- Top unrecognized phrases with % of total
- One click sends the phrase to retraining
Analytics doesn't live alone. It feeds from and returns work to the rest of the platform.
From raw data to decisions, in one week.
Stop watching your operation from the corner of your eye.
Databot Analytics shows you, in one dashboard, what is being asked, who responds and where the conversation gets stuck.