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Stepsize AI

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Stepsize AI turns Jira or Linear activity into automated reports, charts and commentary for engineering teams and leaders, with technical-debt workflows and clear privacy and security controls.

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Overview

Stepsize AI is a reporting product for software teams that turns Jira or Linear activity into automated dashboards and written updates. Its stated purpose is to keep engineering management and leadership informed with metrics, charts, and AI-generated commentary based on issue tracker data.

The product is positioned around reducing manual status reporting. The home page describes instant insights, zero setup, and tailored outputs for teams and projects, while the AI pricing page lists report types such as daily standups, team syncs, sprint reports, kanban reports, and executive summaries. Stepsize also shows a separate technical debt product with issue-tracking workflows for teams that want to capture and prioritize debt before moving it into Jira.

Security and data handling are part of the product story. Stepsize says customers can choose which channels, projects, and repositories are included in updates, that their data is not used to train AI models, and that AES-256 encryption is used at rest and in transit.

Core capabilities

Automated reporting

Turns issue tracker activity into weekly or project-level reports with metrics and plain-language commentary, so readers can understand what changed without assembling updates manually.

Metrics with commentary

Pairs charts and metrics with AI-written context, helping teams interpret progress, sprint themes, and goals instead of reading raw tracker data alone.

Risk-aware insights

Surfaces delivery risks and practical suggestions based on the activity it sees, so teams can spot issues earlier and adjust course.

Scoped data selection

Lets users choose which channels, projects, and repositories feed the updates, giving teams control over the scope of the reports they receive.

Multiple report views

Highlights work at different levels, including team progress, project-level insight, and executive summaries, so the output can serve both delivery teams and leadership.

Practical use cases

  • Leadership updates

    Use automated weekly updates to keep engineering management and leadership informed without asking teams to prepare manual status reports.

  • Daily team communication

    Turn Jira or Linear activity into concise standup or team-sync output so collaborators can follow progress and blockers quickly.

  • Sprint and board reporting

    Generate sprint and kanban summaries that combine metrics with commentary, making it easier to review delivery progress and themes.

  • Risk monitoring

    Surface delivery risks and project themes from tracker structure and activity so teams can respond before issues grow.

  • Technical debt tracking

    Use the technical debt workflow to capture debt from engineers’ editors, prioritize it, and move it into Jira once it is ready to be worked on.

Pros and Cons

Pros

  • Generates reports and commentary automatically from issue tracker activity.
  • Supports several reporting formats, including standups, sprint reports, kanban reports, and executive summaries.
  • Lets teams control which data sources are included in the AI output.
  • Publishes clear security and privacy statements, including no training on customer data and AES-256 encryption.
  • Offers a free first AI-generated report and a 2-week free trial on the AI pricing page.

Cons

  • The source does not show full integration coverage beyond Jira, Linear, and a few security-page examples such as Slack and GitHub.
  • Detailed setup steps, implementation requirements, and output customization limits are not fully documented on the provided pages.
  • Pricing for the AI product is shown per Jira board or Linear team, but the sources do not provide a complete billing breakdown for every scenario.

FAQ

What does Stepsize AI generate?

Stepsize AI uses issue tracker activity to generate reports and commentary for Jira boards or Linear teams. The source pages also describe use cases such as daily standups, team syncs, sprint reports, kanban reports, and executive summaries.

Which tools does Stepsize AI connect to?

The source says Stepsize AI integrates with Jira or Linear, and its security page also mentions Slack and GitHub integrations. The AI product pricing page describes pricing per Jira board or Linear team.

Is there a trial or free first report?

The home page says the product provides instant insights with zero setup, while the AI pricing page offers a 2-week free trial and says you can generate your first update for free without card details.

How does Stepsize handle privacy and security?

Stepsize says your data is not used to train AI or any large language models, and that you can choose exactly which channels, projects, and repositories are included in updates. It also says AES-256 is used for encryption at rest and in transit.

How is Stepsize priced?

The pricing page shows a free plan for Technical Debt and paid plans for Stepsize AI are listed per Jira board or Linear team, with tailored setup available for larger teams. The sources do not show every possible billing detail for all plans.

Quick Facts

Category
AI reporting for software teams
Primary data sources
Jira boards and Linear teams
Output style
Metrics, charts, and AI-written commentary
Pricing signal
Free first report; paid AI plans listed per Jira board or Linear team
Security highlights
Customer data not used to train AI; AES-256 encryption
Website
stepsize.com