What is a product analytics tool?

A product analytics tool tracks how customers use your product – which features they engage with, how often, and in which environments. Most tools require separate instrumentation and live outside your planning workflow. Atono builds engagement tracking directly into the story that shipped the feature, so the data is always connected to the work that created it.

How does Atono track feature engagement?

Atono tracks engagement at the story level – every story carries its own usage data, broken down by customer and environment. Across your whole product, the Engagement page surfaces your top features by real usage so your team always knows what's actually landing. No separate dashboard to instrument or maintain.

How is Atono different from Amplitude?

Amplitude is a dedicated analytics platform – powerful but separate from where your team plans and builds. Atono ties engagement directly to the story that shipped the feature, so your product team sees usage data in the same place the next plan gets made. No reconciling between tools, no separate access to manage.

Can Atono replace my analytics tool entirely?

For most product teams yes – Atono tracks feature engagement, cycle time and sprint capacity in one place. If you need advanced experimentation or deep behavioural analytics, Amplitude or similar tools still have a role. But for the planning and measurement loop Atono handles it without a separate tool.

Atono is free for teams up to 25 users – no credit card required and no expiration. Paid plans add AI functionality and scale to any team size.

Measure

You shipped it. Who’s actually using it?

Q: How does Atono track feature engagement?

Atono tracks engagement at the story level &ndash; every story carries its own usage data, broken down by customer and environment. Across your whole product, the Engagement page surfaces your top features by real usage so your team always knows what's actually landing. No separate dashboard to instrument or maintain.

Q: How does Atono calculate sprint velocity?

Atono calculates cycle time per story size on a rolling window your team configures. That real velocity data powers estimated completion dates, sprint capacity projections and staleness alerts &ndash; so your next sprint is planned from what your team actually shipped, not a gut feel estimate.

Q: How is Atono different from Amplitude?

Amplitude is a dedicated analytics platform &ndash; powerful but separate from where your team plans and builds. Atono ties engagement directly to the story that shipped the feature, so your product team sees usage data in the same place the next plan gets made. No reconciling between tools, no separate access to manage.

Q: Can Atono replace my analytics tool entirely?

For most product teams yes &ndash; Atono tracks feature engagement, cycle time and sprint capacity in one place. If you need advanced experimentation or deep behavioural analytics, Amplitude or similar tools still have a role. But for the planning and measurement loop Atono handles it without a separate tool.

Q: Is Atono free?

Atono is free for teams up to 25 users &ndash; no credit card required and no expiration. Paid plans add AI functionality and scale to any team size.

Finding out who's actually using a feature means opening Amplitude, cross-referencing Jira and hoping someone remembered to instrument it. Atono keeps engagement on the story that shipped the feature – so the answer is always one click away.

Talk to a human

The sprint ran long. The feature shipped dark.

Tobias led engineering for years. He's watched sprints run three days over without anyone seeing it coming – and when they finally shipped, nobody knew if the feature was even being used. The data existed. It just lived two tools away from where the next plan got made. The fix isn't more reports. It's putting the data where the planning happens.

Engagement on the story that shipped it.

Every story in Atono carries its own engagement data – who's using the feature, in which environments, broken down by customer. Across your whole product, you can see which features are actually landing and which aren't. No separate analytics tool, no cross-referencing. The whole team sees the same picture, right where the next plan gets made.

Sprint capacity built on real data, not gut feel.

Every story your team ships feeds into a rolling picture of real velocity. Atono uses that to power estimated completion dates, sprint capacity projections and staleness alerts – so when a story is running longer than usual, your team gets flagged while there's still time to act. Not three days after the sprint ran over.

See how it all connects.

Plan

Replace your stack or upgrade it.

Recommended

Intelligence Layer

Keep your tools and add what Atono knows

Works alongside your existing analytics stack – engagement and cycle time live on the story, without replacing Amplitude or your current reporting tools.

Full Platform

One workspace from plan to production

Plan, build, ship and measure in one place – your team always builds with your full product context. Replaces Jira, your feature flag tool, and your analytics tool. One bill instead of three.

Talk to a human

Free for up to 25 users forever. No credit card.

Frequently asked questions

What is a product analytics tool?
A product analytics tool tracks how customers use your product – which features they engage with, how often, and in which environments. Most tools require separate instrumentation and live outside your planning workflow. Atono builds engagement tracking directly into the story that shipped the feature, so the data is always connected to the work that created it.
How does Atono track feature engagement?
How does Atono calculate sprint velocity?
How is Atono different from Amplitude?
Can Atono replace my analytics tool entirely?
Is Atono free?

Solutions

Resources