Core KPIs
- Active users, sessions & total queries
- Trend lines for growth, flat or decline
- Filter by team, role or date range
Up 24.8%
Features · Analytics & Intelligence
See how your team actually uses AI not just that they have access to it.
Bayaan's Analytics & Intelligence layer turns usage into visibility: core KPIs, model-wise breakdowns, daily activity and streaks, a full usage heatmap, and performance insights - all in one dashboard.
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Live adoption signalLast 30 days
+18%Active users248+12.6%
Queries8.4K+18.2%
Streak12 daysOn track
Usage trendGrowing
Activity heatmap
Model mixPeak: 10 AMWhy this page exists
Make adoption visible enough to act on.
Most organizations can tell you an AI tool was rolled out. Very few can tell you whether it is actually being used, by whom, for what, or whether that usage is translating into faster work. That gap is where AI budgets quietly stall - not because the tool failed, but because nobody could point to the evidence that it worked.
Bayaan closes that gap with a dedicated analytics layer built directly into the workspace: one dashboard that shows core adoption metrics, breaks usage down by model and by assistant capability, visualizes activity patterns over time, and turns all of it into insight an admin, a team lead, or an individual user can actually act on.
Analytics & Intelligence
Insights that drive smarter decisions
Four powerful perspectives to understand usage, adoption, and engagement.
Assistant usage
- Usage broken down by capability
- Identify team & role preferences
- Spot underused features early
Model-wise usage
- Usage volume by model
- See which models teams prefer
- Plan capacity & control costs
GPT-4o 42%Claude 3.5 28%Gemini 1.5 18%
Daily activity & streak
- Track daily usage & engagement
- Personal streak counter
- Spot drop-offs before reports
12 days
Why it matters
A dashboard full of vanity numbers does not help anyone make a decision. Core KPIs prove adoption is real, assistant and model-wise usage show where value is coming from, and daily activity with streaks turns usage into a habit instead of a one-time trial.
Activity heatmap
See the shape of your team's week, not just the total.
Spot patterns that matter. The Activity Heatmap shows when usage happens - which days, which hours, which teams - so you can see insights, not spreadsheets.
See usage intensity by day & hour
Visual, color-graded heatmap for instant pattern recognition.
Spot spikes & quiet periods
Identify Monday peaks, quarterly surges, or drop-downs.
Compare across teams
Understand how different teams or departments use Bayaan.
Activity intensityPeak hoursTeam patterns
Data tooltipIntensity legendDownload heatmap
Put usage evidence where decisions happen.
Analytics only matters if it can leave the dashboard and land in a report, board update, or QBR deck.
Export as image or file
PNG, PDF, or CSV - ready for any report or presentation.
Use it for real decisions
Change-management reporting, vendor reviews, or leadership updates.
Drop into your deck
Turn insights into slides with a follow-up prompt or export.
Performance insights
From “here's the data” to “here's what to do about it.”
Performance Insights is where the dashboard stops being a report and starts being a decision-support tool - surfacing which models are earning their usage, and where overall adoption is heading.
Which models are being used
A focused, model-centric view of performance shows which models get chosen most often, for which kinds of tasks, and how that mix shifts over time.
- Ranked view of model usage across the organization or by team
- Correlate model choice with task type
- Feed directly into governance decisions about model access
Header / TitleNavigation tabsUsage chartModel legendTime range selectorChart axesUsage summaryOverall assistant usage trends
The one chart a leadership update actually needs.
Zooming out from any single model or capability, this view shows the trajectory of the whole workspace - whether adoption is accelerating, plateauing, or needs attention, across the organization or within a specific team or time period.
Long-range trend view of total assistant usageCompare this month, quarter, or period to the lastSupport planning and budget conversations with evidence
Connected intelligence
Analytics is built from the same governed activity your workspace already produces.
Every question, document, and chart generated
Across Ask Your Data, Generate Work, and Slash Commands feeds the same usage layer.
The dashboard, heatmap, and insights views
Turn that raw activity into something admins can act on and users can track.
What you find here informs governance
Decide which models to keep enabled, which teams need onboarding support, and which access levels make sense.
Analytics vs. flying blind
Evidence beats assumptions.
Bayaan turns scattered signals into clear insights your team can act on.
No dedicated AI analyticsBayaan Analytics & Intelligence
Proving adoptionAnecdotal - “people seem to be using it”Core KPIs with trend lines, filterable by team and date
Understanding what’s usedUnknown; requires manual surveyAssistant usage and model-wise usage, broken down automatically
Spotting usage patternsInvisible until someone complainsCalendar-style heatmap surfaces patterns instantly
Sharing evidence upwardManually rebuilt for every reportOne-click heatmap download, ready for a deck or update
Guiding governance decisionsGuessworkPerformance Insights feed directly into model and access decisions
Personal engagementNo individual feedback loopDaily activity view and streaks for every user
Frequently Asked Questions
Who can see the Analytics Dashboard - is it only for admins?
Admins get organization-wide visibility across teams, models, and usage trends. Individual users see their own activity, including their daily activity view and streak, so the same dashboard supports both governance-level oversight and personal engagement tracking.
For teams researching who can see the analytics dashboard - is it only for admins, the practical priority is a clear connection between business context, trusted data, and an actionable result. Bayaan brings that context into a governed enterprise AI workspace so users can move from a natural language question to a useful answer with less manual work.
This approach supports stronger search visibility for enterprise AI, conversational analytics, and secure business automation while keeping the workflow focused on reviewable outcomes. Organizations can apply role based access, source aware answers, and repeatable processes as adoption grows across departments.
What counts as a core KPI on the dashboard?
Core KPIs cover the fundamentals of adoption: active users, total queries or sessions, and how those numbers are trending over a selected time period. They are designed to answer the first question any admin or leader asks: is this actually being used.
For teams researching what counts as a core kpi on the dashboard, the practical priority is a clear connection between business context, trusted data, and an actionable result. Bayaan brings that context into a governed enterprise AI workspace so users can move from a natural language question to a useful answer with less manual work.
This approach supports stronger search visibility for enterprise AI, conversational analytics, and secure business automation while keeping the workflow focused on reviewable outcomes. Organizations can apply role based access, source aware answers, and repeatable processes as adoption grows across departments.
Can I see usage broken down by team or department, not just organization-wide?
Yes. Core KPIs, assistant usage, and model-wise usage can all be filtered by team, role, or date range, so a manager can see their own team’s adoption without wading through company-wide numbers that are not relevant to them.
For teams researching can i see usage broken down by team or department, not just organization-wide, the practical priority is a clear connection between business context, trusted data, and an actionable result. Bayaan brings that context into a governed enterprise AI workspace so users can move from a natural language question to a useful answer with less manual work.
This approach supports stronger search visibility for enterprise AI, conversational analytics, and secure business automation while keeping the workflow focused on reviewable outcomes. Organizations can apply role based access, source aware answers, and repeatable processes as adoption grows across departments.
What is the streak feature, and why does it matter?
The streak counter tracks consecutive days of activity for an individual user, similar to a habit tracker. AI tools that get used once and forgotten do not deliver value, and a visible streak gives users a reason to build Bayaan into their daily workflow instead of their occasional one.
For teams researching what is the streak feature, and why does it matter, the practical priority is a clear connection between business context, trusted data, and an actionable result. Bayaan brings that context into a governed enterprise AI workspace so users can move from a natural language question to a useful answer with less manual work.
This approach supports stronger search visibility for enterprise AI, conversational analytics, and secure business automation while keeping the workflow focused on reviewable outcomes. Organizations can apply role based access, source aware answers, and repeatable processes as adoption grows across departments.
Can I export the heatmap or other analytics for a report?
Yes. The activity heatmap can be downloaded directly and dropped into a report, board update, or QBR deck. Since Bayaan also generates decks and documents natively, an exported heatmap can become a slide in a governed, on-brand deck with one additional prompt.
For teams researching can i export the heatmap or other analytics for a report, the practical priority is a clear connection between business context, trusted data, and an actionable result. Bayaan brings that context into a governed enterprise AI workspace so users can move from a natural language question to a useful answer with less manual work.
This approach supports stronger search visibility for enterprise AI, conversational analytics, and secure business automation while keeping the workflow focused on reviewable outcomes. Organizations can apply role based access, source aware answers, and repeatable processes as adoption grows across departments.
How does this connect to model selection and governance?
Performance Insights shows which models are actually being used and for what kind of task, which is the evidence admins need to make governance decisions: which models to keep enabled, which to promote to specific teams, and where access should be adjusted.
For teams researching how does this connect to model selection and governance, the practical priority is a clear connection between business context, trusted data, and an actionable result. Bayaan brings that context into a governed enterprise AI workspace so users can move from a natural language question to a useful answer with less manual work.
This approach supports stronger search visibility for enterprise AI, conversational analytics, and secure business automation while keeping the workflow focused on reviewable outcomes. Organizations can apply role based access, source aware answers, and repeatable processes as adoption grows across departments.
Analytics & Intelligence
Turn usage into evidence, not guesswork.
See core KPIs, model-wise usage, activity heatmaps, and performance insights running against your own team's real data.
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