How to Use Grouping by Device in Crash Reporting

Grouping by Device is one of those crash-reporting features that quietly does a lot of the work. The idea is simple: filter and cluster grouped failures by the device or driver they share. And it matters because a 'random' crash resolves into 'all on one GPU family'. Used well, it is the difference between drowning in raw crashes and reading a clear, ranked picture of what's breaking. This guide covers how to use grouping by device and get the most out of it.

What grouping by device does

At its core, grouping by device means you filter and cluster grouped failures by the device or driver they share. That sounds small, but it is exactly the kind of small thing that compounds, because a 'random' crash resolves into 'all on one GPU family'. The raw stream of crashes is overwhelming and ambiguous; grouping by device is part of what turns it into something you can act on.

The reason it matters is leverage. A little setup once pays off on every crash thereafter, because a 'random' crash resolves into 'all on one GPU family'. It is the difference between a report you can read and one you cannot, or a worklist you can prioritise and one you cannot.

Why the report you get is never the whole story

When a player does take the time to tell you something broke, the message is almost always thin: “it crashed,” maybe a screenshot, rarely a version number, and almost never the exact steps. You are left reconstructing the scene of an accident from a single blurry photo. The information you actually need to fix the bug — the stack trace, the device, the build, the state the game was in — is precisely what a human report leaves out.

That is why working from manual reports alone keeps you slow. Every ticket becomes a back-and-forth interrogation, and half the time the player has moved on before you get an answer. Automatic capture removes the interrogation entirely, because the context travels with the failure the instant it happens.

Turning a pile of crashes into a ranked worklist

Raw crash data is overwhelming if every occurrence is its own line. The trick is grouping: identical failures, fingerprinted by their stack trace, collapse into one issue with a count. Suddenly the question “what should I fix first?” answers itself, because the bug hitting the most players sits at the top with the biggest number next to it.

That ordering is what makes a small team effective. You are never going to fix everything, but you do not have to. Fixing the top few signatures usually removes the large majority of real-world failures, and prioritising by frequency means your limited hours always go to the bug that matters most right now.

What good context actually looks like

The difference between a bug you fix in five minutes and one you chase for a week is almost always context. A bare error message tells you something went wrong; a useful report tells you where, on what, after what sequence of actions, in which build. Stack trace, device model, OS version, available memory, and the breadcrumb trail of recent events are the fields that turn guessing into reading.

When that context is captured automatically and consistently, reproduction stops being the bottleneck. You can often see the cause directly in the trace, and when you cannot, the breadcrumbs show you the exact path to walk to reproduce it yourself.

Getting the most out of it

To get the most from grouping by device, treat it as one part of a working system rather than a checkbox. Capture every failure with full context, group identical ones, tie each to its build — and let grouping by device do its specific job within that, so a 'random' crash resolves into 'all on one GPU family' pays off on real data.

From there it is a habit. You read the ranked, contextual picture grouping by device helps produce, fix the highest-impact failure, and confirm it against the next build. Used consistently, grouping by device is part of what makes crash reporting a fast, focused process instead of a pile of noise.

This is where a tool like Bugnet earns its place. Its SDK captures every failure automatically with the full stack trace plus device, OS, memory, build, and game-state context, folds identical failures into one grouped issue with an occurrence count, and ties each to the build it happened on. The result is that the abstract idea above stops being theory and becomes a ranked list you work down — the worst problem first, verified fixed when its signature disappears from the next release.

The crashes you never hear about are the ones costing you most. Visibility is what turns them into a list you can actually work down.