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Automated Task

Automated Task Prioritization That Puts
the Most Important Work First

Drop your backlog on TARO. AI re-orders every task by due dates, dependencies, and strategic impact, surfacing what to build.

Automated Task
How it works

From a messy backlog to a ranked build order in four steps

TARO reads every task in your backlog and returns a re-ordered list with the AI reasoning behind every position shown.

1

Ingest

Paste one task or import hundreds at once

TARO takes your backlog however it arrives: paste tasks, import CSV, pull from a project, or connect via API. Every task is ingested, deduplicated, and parsed for title, labels, due dates, and dependencies.

2

Score

Every task scored across three axes simultaneously

TARO doesn't rank on one signal. It evaluates every task across three axes, each capturing what makes work worth doing now versus later. The three scores combine into one composite priority rank shown in the reasoning.

3

Rank

A ranked build order. Every position explained.

TARO returns your backlog re-ordered from highest to lowest priority, with AI reasoning beneath each task. Not just a number, but a plain-language explanation of why a task sits where it does.

4

Adapt

The ranking updates every time the backlog changes

Priorities don't stay fixed. Tasks get added, deadlines shift, blockers appear. TARO re-scores and re-ranks the backlog in real time whenever any signal changes, so Monday's order is still accurate by Thursday.

  • Re ranks on every change
  • Always up to date
  • Override anytime
Why Auto Prioritization

Six reasons teams never go back

Backlog grooming eats 3 to 5 hours per sprint. Auto Prioritization does better in seconds and updates it whenever anything changes.

Who uses it
Deepak MehrotraDeepak MehrotraDeepak MehrotraDeepak Mehrotra

800+

product teams already using TARO

Built for every team that has more
to build than time

Engineering leads, product managers, and founders bring different opinions to a backlog. Auto Prioritization gives them a shared starting point built from signals everyone sees, so talks start from data.

0

Backlog grooming meetings

4h

Saved per sprint per team

100%

Of rankings explained

Faster sprint planning

Engineering Leads

Sprint planning starts with a ranked backlog, not a blank canvas.

Engineering leads open sprint planning with TARO's ranked backlog in front of them. Top items rank on real signals deadlines, blockers, strategic weight not who argued hardest.

More from TARO

Auto prioritization is just the start

Once your backlog is ranked, TARO keeps predicting, flagging, and distributing work across the full sprint.

Completion Analysis

Predicts your project's finish date from velocity, blockers, and sprint history. Get the date, variance, and confidence before you commit.

Risk Prediction

Scans for overdue tasks, stalled workflows, and blocked dependencies, then recommends exact actions before risks become incidents.

Workload Distribution

Analyses sprint capacity and suggests exact reassignments to balance overloaded members before a deadline slips with one click to apply all changes.

Smart Task Creation

Type one sentence. TARO generates a structured task title, description, priority, due date, assignee in under 3 seconds.

Common Questions

Everything you need to know about Auto Prioritization

Common questions from PMs, engineering leads, and founders evaluating TARO's prioritisation engine.

How does TARO score strategic impact?

TARO reads four signals to infer a task's strategic importance: project-level tags (a task tagged "Q2 investor demo" carries that weight forward), task labels ("customer-facing", "monetisation", "milestone" are high signals), description context (language tied to external commitments, revenue, or named customers), and historical outcomes (similar past tasks marked impactful raise future weight). Strategic weight is configurable per workspace.