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Analytics Dashboards

Analytics Dashboards with Real Time
Project Performance Insights

17 widget types across 4 dashboard roles. Workload reports, 8 risk alert types, sprint burndowns, velocity, and productivity.

Analytics Dashboards
How it works

From raw workspace data to a live intelligence dashboard in four steps

TARO aggregates task, sprint, workload, and risk data, then surfaces it in the right dashboard per role.

1

Roles

The right dashboard for every role in the workspace.

Not every role needs the same data. TARO provides four dashboard contexts, each pre-populated with the widgets most relevant to that role. Every dashboard is customisable across 17 widget types.

2

Widgets

Seventeen widgets. Every delivery metric your team tracks.

Each widget draws from live TARO data: no manual entry, no CSV import, no third-party BI tool. Every widget updates automatically as tasks, sprints, and workloads change. Pick your widgets; the data stays current.

3

Alerts

Eight alert types. Every risk pattern your sprint can produce.

The Risk Alerts widget monitors eight distinct risk signals at once, each a delivery failure mode. Alerts are severity-classified, named with the exact task or person, and carry a recommended action.

4

Build & Load

Drag any widget anywhere. Dashboard loads in under a second.

Every layout is customisable by drag and drop: move widgets anywhere, resize them, remove ones you don't need, add new ones. Layouts save per user. Data is cached on every state change, so the view loads in under a second.

Why Analytics & Dashboards

Six reasons teams never go back

An 8-second dashboard gets checked once a day. One that loads in 0.3 seconds gets checked before every standup and shortens it.

Sub second load on every dashboard open

Sub second load on every dashboard open

Dashboard data is cached on every workspace state change, not fetched fresh on open. One loading in 0.3 seconds gets used often; an 8-second one gets skipped.

8 alert types mean every risk pattern is named

8 alert types mean every risk pattern is named

Blocked dependencies, velocity drops, single points of failure, stage overloads, stalled workflows, broken handoffs, overdue cascades, and prediction slips.

Role specific defaults relevant from the first open

Role specific defaults relevant from the first open

A Super Admin sees org-wide data, a developer their tasks and productivity, an Org Admin workload and risk alerts. The right data per role, no setup.

17 widget types cover every delivery metric

17 widget types cover every delivery metric

Sprint burndown, velocity, workload, risk alerts, completion rate, productivity, leaderboard, overdue tasks, epic progress, bottlenecks, and more, one source.

Drag drop layout means every dashboard is yours

Drag drop layout means every dashboard is yours

Move widgets, resize them, remove the ones you don't need. Saved per user, with no shared layout everyone lives with. The lead's view differs from the PM's.

Per user productivity trends surface patterns silently

Per user productivity trends surface patterns silently

Daily task completion bars per member over the rolling window show who's accelerating, who's stalling, and whether a stall began before or after an event.

Who uses it
Deepak MehrotraDeepak MehrotraDeepak MehrotraDeepak Mehrotra

800+

product teams already using TARO

Built for every role that needs
delivery data without asking for it

Org admins running cross team delivery and individual contributors tracking their own sprint progress both need dashboards just very different ones. TARO gives each the right view from the start.

17

Widget types

8

Risk alert types

4

Dashboard role contexts

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Dashboard load time

Org Admins & Engineering Leads

The weekly delivery review starts from the Org Admin dashboard not a slide rebuilt every Friday.

Org admins open the Org Admin dashboard to start each delivery review: workload across all members, velocity for the last five sprints, active risk alerts, burndown, all on one screen.

More from TARO

Dashboards show the picture. These features explain it.

When a widget surfaces a risk or velocity drop, TARO's intelligence gives you the exact action to fix it.

Risk Prediction

The intelligence behind the Risk Alerts widget, scanning overdue tasks, stalled workflows, velocity drops, and blocked dependencies.

Workload Distribution

Intelligence behind the Workload Distribution widget, suggesting task reassignments to rebalance overloaded members in one click.

Completion Analysis

The intelligence behind the Sprint Burndown and Velocity widgets, predicting finish date, variance, and confidence from real sprint history.

Bottleneck Analysis

The intelligence behind the Bottleneck Summary widget diagnosing stage overloads, SPOFs, and broken handoffs with prescribed fixes and resolution tracking.

Questions & answers

Everything you need to know about Analytics & Dashboards

Common questions from org admins, engineering leads, and team members evaluating TARO's dashboard system.

TARO uses event-driven cache invalidation. When any task, sprint, workload, or risk signal changes, the relevant dashboard aggregations are recalculated and cached immediately, in the background. When a user opens their dashboard, the view reads the pre-computed cache instead of running queries live. So an 8-widget dashboard loads in the same time whether the workspace has 50 tasks or 5,000. The cache is segmented per user and per workspace.
Yes, custom dashboard layouts can be shared with specific workspace members or published org-wide. The recipient gets a copy to use as is or customise further; they don't see your personal data, only the layout structure (which widgets, in which positions). This helps leads who want their team starting from the same configuration, or org admins standardising a department's view. Shared layouts don't sync.
The Productivity Trend widget shows a daily bar chart of task completions over a configurable rolling window (default 14 days). In Personal mode, it shows your own completions per day, useful for seeing whether you're accelerating, holding, or tapering toward sprint end. In Org Admin mode, it shows per-member bars side by side so leads see individual patterns at once. Bars above the average are violet, below grey.
Each type runs its own continuous detection. Blocked dependency: a task blocking downstream work past the threshold (24h). Velocity drop: rate 15%+ below the 3-sprint avg. SPOF: one person owning 60%+ of a stage's tasks. Stage overload: exceeding its WIP limit. Stalled: no activity for 48h+. Broken handoff: transition over 1.5× baseline. Overdue cascade: overdue task with 2+ dependents not started. Slip: 2+ day shift.
The four roles define both the default widget configuration and the data scope. Super Admin sees all workspaces, organisations, and system metrics. Org Admin sees all projects and users in their org: cross-team workload, delivery health, velocity, and risk alerts. Personal sees only the signed-in user's own data: tasks, sprint contributions, productivity trend, overdue items. Custom is a blank canvas; users set both.
The current library has the 17 types described; TARO doesn't yet support fully custom widget code from external sources. But all 17 are highly configurable: date range, data scope (personal/team/project), grouping dimension, and visual format (bar, line, or table) are adjustable per widget instance. The Stat Counter is a flexible single-number display scopable to almost any countable metric. The API exposes analytics.
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