20 KiB
title, description, ms.prod, ms.localizationpriority, author, ms.author, manager, ms.collection, ms.topic, ms.date, ms.reviewer, ms.technology
title | description | ms.prod | ms.localizationpriority | author | ms.author | manager | ms.collection | ms.topic | ms.date | ms.reviewer | ms.technology |
---|---|---|---|---|---|---|---|---|---|---|---|
Windows 10 diagnostic data for the Full diagnostic data level (Windows 10) | Use this article to learn about the types of data that is collected the Full diagnostic data level. | m365-security | high | DHB-MSFT | danbrown | dougeby | M365-security-compliance | article | 12/01/2021 | privacy |
Windows 10 diagnostic data for the Full diagnostic data level
Applies to:
- Windows 10, version 1703
Microsoft collects Windows diagnostic data to keep Windows up-to-date, secure, and operating properly. It also helps us improve Windows and, for users who have turned on “tailored experiences”, can be used to provide more relevant tips and recommendations to tailor Microsoft products to the user’s needs. This article describes all types diagnostic data collected by Windows at the Full diagnostic data level (inclusive of data collected at Basic), with comprehensive examples of data we collect per each type. For additional, detailed technical descriptions of Basic data items, see Windows 10, version 1709 Basic level diagnostic events and fields and Windows 10, version 1703 Basic level diagnostic events and fields.
The data covered in this article is grouped into the following categories:
- Common Data (diagnostic header information)
- Device, Connectivity, and Configuration data
- Product and Service Usage data
- Product and Service Performance data
- Software Setup and Inventory data
- Browsing History data
- Inking, Typing, and Speech Utterance data
Note
The majority of diagnostic data falls into the first four categories.
Common data
Most diagnostic events contain a header of common data:
Category Name | Examples |
---|---|
Common Data | Information that is added to most diagnostic events, if relevant and available:
|
Device, Connectivity, and Configuration data
This type of data includes details about the device, its configuration and connectivity capabilities, and status.
Category Name | Examples |
---|---|
Device properties | Information about the OS and device hardware, such as:
|
Device capabilities | Information about the specific device capabilities such as:
|
Device preferences and settings | Information about the device settings and user preferences such as:
|
Device peripherals | Information about the device peripherals such as:
|
Device network info | Information about the device network configuration such as:
|
Product and Service Usage data
This type of data includes details about the usage of the device, operating system, applications, and services.
Category Name | Examples |
---|---|
App usage | Information about Windows and application usage such as:
|
App or product state | Information about Windows and application state such as:
|
Login properties |
|
Product and Service Performance data
This type of data includes details about the health of the device, operating system, apps, and drivers.
Category Name | Description and Examples |
---|---|
Device health and crash data | Information about the device and software health such as:
|
Device performance and reliability data | Information about the device and software performance such as:
|
Movies | Information about movie consumption functionality on the device. This information isn't intended to capture user viewing, listening, or habits.
|
Music & TV | Information about music and TV consumption on the device. This information isn't intended to capture user viewing, listening, or habits.
|
Reading | Information about reading consumption functionality on the device. This information isn't intended to capture user viewing, listening, or habits.
|
Photos App | Information about photos usage on the device. This information isn't intended to capture user viewing, listening, or habits.
|
On-device file query | Information about local search activity on the device such as:
|
Purchasing | Information about purchases made on the device such as:
|
Entitlements | Information about entitlements on the device such as:
|
Software Setup and Inventory data
This type of data includes software installation and update information on the device.
Category Name | Data Examples |
---|---|
Installed Applications and Install History | Information about apps, drivers, update packages, or OS components installed on the device such as:
|
Device update information | Information about Windows Update such as:
|
Browsing History data
Microsoft browser data: This type of data includes details about web browsing, the address bar, and search box performance on the device in the Microsoft browsers, such as:
- Text typed in address bar and search box
- Text selected for Ask Cortana search
- Service response time
- Autocompleted text if there was an autocomplete
- Navigation suggestions provided based on local history and favorites
- Browser ID
- URLs (which may include search terms)
- Page title
Inking Typing and Speech Utterance data
Voice, inking, and typing: This type of data gathers details about the voice, inking, and typing input features on the device, such as:
- Type of pen used (highlighter, ball point, pencil), pen color, stroke height and width, and how long it is used
- Pen gestures (click, double-click, pan, zoom, rotate)
- Palm Touch x,y coordinates
- Input latency, missed pen signals, number of frames, strokes, first frame commit time, sample rate
- Ink strokes written, text before and after the ink insertion point, recognized text entered, Input language - processed to remove identifiers, sequencing information, and other data (such as email addresses and numeric values) which could be used to reconstruct the original content or associate the input to the user.
- Text input from Windows on-screen keyboards except from password fields and private sessions - processed to remove identifiers, sequencing information, and other data (such as email addresses, and numeric values) which could be used to reconstruct the original content or associate the input to the user.
- Text of speech recognition results - result codes and recognized text
- Language and model of the recognizer, System Speech language
- App ID using speech features
- Whether user is known to be a child
- Confidence and Success/Failure of speech recognition