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Stepsize AI

Stepsize AI generates automated, AI-written reports and dashboards from Jira boards or Linear teams to keep engineering management and leadership informed about product development progress.

ProductivityProject ManagementDeveloper ToolsReporting and Analytics

About Stepsize AI

Stepsize AI

Stepsize AI analyses an issue tracker (Jira boards or Linear teams) to generate digestible updates on the progress of teams and projects every week. It provides metrics with automatic AI-generated commentary, progress charts with sources for investigation, project-level insights using epic structure, and surfaced delivery risks with practical suggestions. The page states that teams get instant, zero-setup dashboards without templates, can choose which channels, projects and repositories are included, and that customer data is never used to train LLMs. Security claims on the page include AES-256 encryption at rest and in transit. The page offers a free first AI-generated report and a 2-week free trial with no credit card needed for the first update. It also notes the product has been acquired by ClickUp.

Key features

  • AI-generated dashboards and reports based on issue tracker data from Jira boards or Linear teams
  • Metrics with automatic AI commentary in plain language
  • Progress overview with sources for investigation
  • Project-level AI insights that use epic structure to identify themes among tasks
  • AI-surfaced delivery risks with practical suggestions
  • Zero-setup, template-free reporting
  • Selection of which channels, projects and repositories are included in updates
  • Data not used to train large language models
  • AES-256 encryption at rest and in transit
  • Automated weekly updates

Best suited for

  • Engineering managers
  • Engineering and product leaders
  • Teams wanting automated sprint and project progress reporting
  • Stakeholder alignment on product development progress

Pricing

Not stated on the website

DashboardsProduct developmentJiraLinearEngineering metricsAI reportingSprint reportingRisk detection

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