Actionable Sprint Reports & Metrics

Track each sprint’s planned vs. completed work, velocity, and blockers. Use these insights to refine future sprints and keep stakeholders informed.

The output-first approach to AI Impact is broken.

Code output is up

Merged pull requests on GitHub have more than quadrupled since 2023, reaching 130M per month in August 2026.
Source: GitHub

Value is flat

Only 6% of companies are “high AI performers” that report “significant” AI impact and ≥5% impact on earnings, unchanged from 2025 to 2026.
Source: McKinsey

A strategy that works: stop slop to accelerate value.

minware’s Lean AI Framework™ unlocks value by eliminating everything that gets in the way: rework, bugs, reviewing low-quality code, context switching, babysitting agents, and more.

Measure best practices that drive AI impact.

Other platforms measure outcomes, but don’t tell you how to get better.
minware offers actionable metrics that help teams improve AI impact.
Team Workflow Efficiency
Ticket Work-in-Progress (WIP)
Planning and Prompting
Ticket Size
Pull Request (PR) Complexity
Pre-Merge Churn Rate
Post-Merge Churn Rate
Session Automation
Human Commit Rate
Agent Session Length
Human Intervention Rate
Cloud Agent Use/Success Rate
Tool Use/Runtime
Culture
AI Rules of Engagement
Read about best practices in the Lean AI Framework

Customize metrics for the way each team creates value.

minware’s patented hypercube data model and minQL language interlink and surface every SDLC artifact.
We help you customize editable metric formulas for each team’s value creation workflow – aligning statuses, labels, custom fields, and team conventions.
Any Metric ✕ Any Dimension = Accurate Value-Aligned Insights

minware integrates with every major development tool.

minware also supports custom CSV/JSON and OpenTelemetry data for spreadsheets and internal tools.
See the full list of integrations

Save your tokens and leave the rest to us.

Get trustworthy insights faster with our data infrastructure.
Agents are great at a lot of things – enterprise-grade data quality, performance, and security are not among them.

Automated Caching & Orchestration

The minQL engine dynamically materializes tables and orchestrates updates so your results are always fresh and fast for millions of rows.

Standard Data Modeling & Benchmarks

minware provides pre-built models for common use cases like time allocation, cost attribution, DORA workflow efficiency, Agile and more.

Vendor Data Linking & Normalization

minware normalizes and links AI usage, pull requests, tickets, and more with advanced heuristics for unstructured relationships.

Error Handling & Recovery

minware handles errors caused by vendor API issues, schema updates, data anomalies, and more so your data is available 24/7.

Identity Resolution

minware reconciles names, emails, and user IDs across all vendors and matches them to multi-level team structure from any source.

Role-Based Access Control

Easily control team and individual data access permissions for minware users based on their role and team membership.

On-Premise Ingest Agent

For added security, the on-premise ingest agent runs locally and uploads data to minware. You maintain full control over keys and data.

AICPA SOC 2 Type 2 Certified

minware is SOC 2 Type 2 compliant. Learn more and access the full SOC 2 report from our security documentation.

Frequently Asked Questions

How does minware improve visibility into sprint performance?

minware connects Git and ticketing to track how much work was completed, rolled over, or added late. These sprint metrics show sprint health more accurately than basic Jira reports.

Can minware replace manual sprint completion reports?

Yes. minware automates sprint completion reports showing scope change, planning accuracy, and sprint rollover. It removes the need for spreadsheets or end of sprint analysis sessions.

Does minware track engineering team metrics during sprints?

Yes. minware tracks sprint metrics dashboard KPIs like ticket flow, code review activity, unplanned work, and story point completion. These metrics help teams monitor sprint execution in real time.

Can minware measure the effectiveness of sprint planning?

Yes. minware calculates planning accuracy and scope stability for every sprint. It shows how often teams complete what they commit to and how often mid-sprint changes occur.

How does minware support sprint reporting across teams or departments?

minware provides cross-team sprint reporting for all Jira boards. It lets leadership compare sprint metrics like throughput and carryover across teams or business units.

Can minware detect delivery risks earlier in the sprint cycle?

Yes. minware flags issues like review delays, late merges, and scope volatility that can threaten sprint goals. This helps leaders intervene before the sprint fails.

What sprint metrics does minware track that tools like Jira do not?

minware tracks sprint-specific metrics including pre- and post-review time, rework rate, and unreviewed PR percentage. These are not included in standard platform-native sprint reports.

How does minware support measuring team productivity during sprints?

minware tracks output, rework, and effort allocation by ticket type to help teams evaluate how efficiently they use each sprint cycle.