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Example use cases

Explore possibilities and benefits when using the Developer Data framework
阅读时间2 分钟
最后更新于 6 个月前
At your say-so, Developer Data can power certain features, services, or even entire product experiences. What makes your Developer Data so powerful is your ability to use it in the contexts that matter most to you. This means how you experience this value is often specific to your unique circumstances and best expressed in terms of what it is you are trying to accomplish.
In a more general sense, when you choose to use Developer Data, these are just some of the things you can do:

Improve game stability and performance

  • View detailed crash reports and Application Not Responding (ANR) errors in the Unity Dashboard
  • Automatically group runtime errors by root cause and Unity version
  • Track real-time stability trends across platforms and builds
  • Prioritize bug fixes based on crash frequency and player impact
  • Flag Unity version regressions using anonymized engine-wide trends
  • Track ANR trends specifically for high-LTV players
  • Compare save/load success rates between build versions
  • View AI-suggested engine configurations based on platform usage
  • Power in-dashboard alerts when stability thresholds are breached
  • Use enhanced crash context to debug in-editor exceptions
  • Use breadcrumbs in Google Analytics to trace gameplay-to-crash flows
  • Benchmark feature stability against anonymized, opt-in industry norms

Better understand user behavior

  • See player churn and feature drop-off using Unity Analytics segmentation
  • Generate session duration distributions by audience or locale
  • View session heatmaps to correlate UI placement with exit points
  • Track real-time interaction flows using linked analytics or event exports
  • Analyze crash patterns alongside user-level session context
  • Segment stability trends by region, device, or OS

Move faster as a developer

  • Enable project-aware suggestions inside the Unity Editor via Unity AI Assistant
  • Reduce iteration times using AI auto-suggestions drawn from your project data
  • Use AI to autofill missing metadata for textures and prefabs
  • Generate AI-driven 2D textures using Texture2D Generator
  • Describe gameplay logic and auto-generate behavior trees using Unity Behavior
  • Receive automated onboarding or configuration recommendations tuned to your project
  • Leverage platform-specific defaults recommended by the engine based on real usage

Contribute to—and benefit from—shared intelligence

  • Help train Unity's stability and performance models through opt-in aggregation
  • Improve machine learning model quality across Unity services through abstracted contribution
  • Gain access to anonymized benchmarks based on trends from similar games
  • Compare your project’s crash rate, churn, or performance to ecosystem averages
  • Enable Unity’s feature tuning systems to better understand emerging usage patterns
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  • 在本页上

    • Improve game stability and performance

    • Better understand user behavior

      • Move faster as a developer

      • Contribute to—and benefit from—shared intelligence

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