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Stepsize AI

Automated reports from Jira and Linear

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What Stepsize AI is

A reporting layer over project management data. It connects to a Jira board or Linear team, reads the activity and produces metric reports with written commentary, so a manager gets a readable summary instead of a wall of tickets.

The commentary is the differentiator: the report explains what changed, what stalled and what deserves attention.

What you can do with it

  • Connect a Jira board or Linear team as a data source
  • Receive generated metric reports on a schedule
  • Read AI commentary on what the numbers mean
  • Share reports with stakeholders outside the delivery team
  • Start with a free first report before committing

Who it is for

  • Product managers tracking delivery across teams
  • Engineering leads who report upward
  • R&D managers who need recurring status summaries
  • Teams that want fewer manual report-building sessions

What to watch out for

  • Commentary is generated from ticket data, so inaccurate tickets produce inaccurate reports
  • Reports about people can read judgementally; review before wide circulation
  • Confirm data access scope and retention with the vendor before connecting production boards
  • The free first report is a sample, not the whole evaluation; test a full cycle

Pros & cons

✓ What we like

  • Turns ticket activity into readable reports
  • Works with Jira and Linear out of the box
  • Saves recurring manual reporting work
  • First report is free to evaluate

! What to watch out for

  • Quality is bounded by ticket hygiene
  • Generated commentary needs review before sharing
  • Per-board pricing can add up across many teams

FAQ

Which tools does it read from?

Jira and Linear. Reports are generated per board or per team.

What is in a report?

Metrics from the project data plus AI-written commentary explaining changes and anomalies.

Can the commentary be wrong?

Yes. It is generated from ticket data, so it needs a human read before circulation.

Last reviewed: 2026-09-15

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