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.
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See the whole story with fully connected data.

minware's hypercube data model (patent-pending) interlinks every SDLC artifact, with enterprise scale & performance.
Any Metric ✕ Any Dimension ＝ Deep Actionable Insights

Start from comprehensive pre-built reports and industry benchmarks.

Are our projects on track?

minware's Project Completion Tracker keeps everyone aligned and informed about progress.

Where are the biggest bottlenecks?

Investigate where the most time is spent, unexpected bounce backs, and more in the Ticket Cycle Time dashboard.

Are our sprints going to plan?

Ensure your team has the support and skills they need to stick with Sprint Best Practices.
Browse all pre-built reports

Create your own insights with minware's AI data models.

Create your own insights with minware's AI data models.

minware's rules-based, machine learning (ML), and large language (LLM) data models make it easy to build advanced insights without having to start from scratch.
Our models cover text classification (prompts, tickets, reviews, tool commands, etc.), cost attribution, historical timeline reconstruction, identity resolution, and more.
Easily extend or customize any model for your organization with Snowflake Cortex AI.

View and customize any data lineage step with minQL.

View and customize any data lineage step with minQL.

Easily configure metrics to fit how your organization works – no process changes required.
minware's semantic layer is fully transparent and customizable with minQL. The minQL query language offers the expressivity of Snowflake database functions in a concise syntax that simplifies joins, aggregation, and complex logic.
Learn about customizing minQL

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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.

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