---
title: Frustration Signals
description: >-
  Identify user friction in your .NET MAUI app with RUM frustration signals,
  including error taps, to improve user experience.
breadcrumbs: >-
  Docs > RUM & Session Replay > Application Monitoring > .NET MAUI Monitoring >
  Frustration Signals
---

> For the complete documentation index, see [llms.txt](https://docs.datadoghq.com/llms.txt).

# Frustration Signals

## Overview{% #overview %}

Frustration signals identify points of user friction in your mobile application by capturing patterns like error taps.

Mobile RUM collects the following type of frustration signal:

{% dl %}

{% dt %}
Error Taps
{% /dt %}

{% dd %}
A user taps on an element, and at least one error occurs during the action's duration or within 100 ms after the action ends.
{% /dd %}

{% /dl %}

The Mobile RUM SDK automatically detects frustration signals with no additional configuration.

## Search for frustration signals in the RUM Explorer{% #search-for-frustration-signals-in-the-rum-explorer %}

Frustration signals appear in the [RUM Explorer](https://docs.datadoghq.com/real_user_monitoring/explorer.md) as action attributes. Search through your RUM data to surface trends on frustration signals and analyze patterns of user friction.

Enter a facet in the search query to begin. Available search fields include:

{% dl %}

{% dt %}
Frustration Type
{% /dt %}

{% dd %}
Find actions with a specific frustration signal. For example, to see all actions with an error tap, add `action.frustration.type:error_tap` to the search query.
{% /dd %}

{% dt %}
Frustration Count
{% /dt %}

{% dd %}
Find sessions and views where any frustration signal occurred. For example, to find sessions or views with at least one frustration signal, add `session.frustration.count:>1` or `view.frustration.count:>1` to the search query.
{% /dd %}

{% /dl %}

## Further reading{% #further-reading %}

- [Learn about the RUM Explorer](https://docs.datadoghq.com/real_user_monitoring/explorer.md)
- [Browser Frustration Signals](https://docs.datadoghq.com/real_user_monitoring/application_monitoring/browser/frustration_signals.md)