Atono Public Roadmap
See a sneak peek into what's coming next.
Team delivery analytics
Understand how your team is delivering with reports for story throughput, cycle time by workflow step, and cycle time over time.
Story assistant improvements
Create a new story with AI, reference other stories for context, update the story title as the scope evolves, and review exactly what changed before accepting suggested updates.
Java SDK for feature flags
Use Atono feature flags in server-side Java applications and report backend feature engagement through the same platform.
Track sprint scope changes
See when work is added to or removed from an active sprint with a scope line on the burndown chart, so changes to the sprint plan are clear alongside progress.
AI-assisted story authoring
Write better stories with AI, drawing on your product knowledge to offer relevant suggestions and guidance.
Tags
Add custom key-value tags to stories, bugs, and epics to capture metadata that matters to your team, then filter and search by those tags across your backlog to find and act on exactly the work you need.
Faster onboarding
Get new teammates contributing sooner with a guided setup conversation, role-specific product tours, and team invites that bring people in right where they need to be.
Stay oriented as your backlog changes
See where new and updated items land and keep your bearings as you navigate, with a left nav that expands to show you exactly where you are in your backlog
Plan sprints further ahead
Create a full series of sprints in one step, with dates that can't overlap.
Global release markers
Define release markers once and use them across timelines and backlogs, so your whole team stays aligned on release scope no matter where they're working.
Product context improvements
Keep your product glossary current by refreshing it from your existing documentation sources, with a full activity history so you can review AI-driven changes and undo them individually or in bulk.
Spot plan risks on your backlog
See which stories and bugs are at risk right from your team backlog. Items are flagged when they're unscheduled or projected to finish after their timebox ends, so you can reprioritize on the spot.
Make your product work flow
Shared context from first decision to feature usage