Inefficient User Management

Oct 13, 2025 by thesweetdesigns.com 16 views

Efficient Bulk Actions in Matomo: A Game-Changer for User Management

Introduction

Bulk actions are a crucial feature in Matomo, allowing users to perform tasks on multiple users at once. However, the current implementation has a significant limitation: selections are cleared when a new search is performed. This makes it difficult to select individuals across multiple searches, hindering the efficiency of bulk actions when working with a large user list. In this article, we will explore the expected behavior, current behavior, and suggested improvement for persisting user selection for bulk actions across searches.

Expected Behavior

When performing bulk actions in Matomo, users should be able to select individuals across multiple searches. This means that the selections should persist when a new search is performed, allowing users to select individuals across multiple searches before applying bulk actions. This behavior is essential for efficient user management, especially when working with a large user list.

Benefits of Persisting User Selection

Improved Efficiency: By persisting user selection, users can quickly select individuals across multiple searches, reducing the time spent on manual searching and reselecting.
Enhanced Productivity: With the ability to select individuals across multiple searches, users can perform bulk actions more efficiently, leading to increased productivity.
Better User Experience: Persisting user selection provides a better user experience, as users can easily manage their user list without the hassle of manual searching and reselecting.

Current Behavior

Unfortunately, the current implementation of bulk actions in Matomo has a significant limitation. When selecting users for bulk actions, the selections are cleared when a new search is performed. This means that users can only select individuals within the current search results. When a new search is performed, all previous selections are lost, requiring users to manually search and reselect.

Limitations of Current Behavior

Inefficient User Management: The current behavior makes it difficult to manage users efficiently, especially when working with a large user list.
Increased Time Spent: Users spend more time on manual searching and reselecting, reducing their productivity.
Poor User Experience: The current behavior provides a poor user experience, as users are forced to manually search and reselect individuals.

Suggested Improvement

To address the limitations of the current behavior, we suggest implementing a way to persist selected users across searches. This can be achieved by storing the selected users in a separate data structure, such as a session or a cache. When a new search is performed, the selected users can be retrieved from the data structure, allowing users to select individuals across multiple searches.

Optional Feature: Selecting Users by Multiple Search Patterns

In addition to persisting user selection, we suggest allowing users to select individuals by multiple search patterns. This can be achieved by providing a feature that allows users to search for individuals using multiple search patterns, such as a combination of keywords, filters, and tags.

Benefits of Selecting Users by Multiple Search Patterns

Improved Search Efficiency: By allowing users to search for individuals using multiple search patterns, users can quickly find the individuals they need, reducing the time spent on searching.
Enhanced Search Flexibility: With the ability to search for individuals using multiple search patterns, users can tailor their search to their specific needs, leading to more accurate results.
Better Search Experience: Selecting users by multiple search patterns provides a better search experience, as users can easily find the individuals they need without the hassle of manual searching.

Implementation

To implement the suggested improvement, we recommend the following steps:

Store Selected Users: Store the selected users in a separate data structure, such as a session or a cache.
Retrieve Selected Users: When a new search is performed, retrieve the selected users from the data structure.
Allow Multiple Search Patterns: Allow users to search for individuals using multiple search patterns.
Update User Interface: Update the user interface to reflect the new behavior, providing users with a seamless experience.

Conclusion

Frequently Asked Questions About Persisting User Selection for Bulk Actions

Q: What is the current behavior of bulk actions in Matomo?

A: Currently, when selecting users for bulk actions in Matomo and then performing a search, the previous selections are cleared. This means that users cannot select individuals across multiple searches, which makes bulk actions less efficient when working with a large user list.

Q: What is the expected behavior of bulk actions in Matomo?

A: The expected behavior is that selections should persist when a new search is performed, allowing users to select individuals across multiple searches before applying bulk actions.

Q: Why is persisting user selection important for bulk actions?

A: Persisting user selection is important for bulk actions because it allows users to quickly select individuals across multiple searches, reducing the time spent on manual searching and reselecting. This leads to improved efficiency, enhanced productivity, and a better user experience.

Q: How can Matomo implement persisting user selection for bulk actions?

A: Matomo can implement persisting user selection for bulk actions by storing the selected users in a separate data structure, such as a session or a cache. When a new search is performed, the selected users can be retrieved from the data structure, allowing users to select individuals across multiple searches.

Q: What are the benefits of selecting users by multiple search patterns?

A: The benefits of selecting users by multiple search patterns include improved search efficiency, enhanced search flexibility, and a better search experience. Users can quickly find the individuals they need, reduce the time spent on searching, and tailor their search to their specific needs.

Q: How can Matomo implement selecting users by multiple search patterns?

A: Matomo can implement selecting users by multiple search patterns by providing a feature that allows users to search for individuals using multiple search patterns, such as a combination of keywords, filters, and tags.

Q: What are the challenges of implementing persisting user selection for bulk actions?

A: The challenges of implementing persisting user selection for bulk actions include designing a robust data structure to store the selected users, ensuring that the data structure is accessible across multiple searches, and updating the user interface to reflect the new behavior.

Q: How can Matomo ensure that the implementation of persisting user selection for bulk actions is seamless?

A: Matomo can ensure that the implementation of persisting user selection for bulk actions is seamless by conducting thorough testing, providing clear documentation, and offering user support to address any questions or concerns.

Q: What are the next steps for implementing persisting user selection for bulk actions in Matomo?

A: The next steps for implementing persisting user selection for bulk actions in Matomo include designing the data structure, implementing the feature, testing the feature, and deploying the feature to production.

Q: How can users provide feedback on the implementation of persisting user selection for bulk actions?

A: Users can provide feedback on the implementation of persisting user selection for bulk actions by submitting bug reports, suggesting improvements, and participating in user testing.

Q: What are the benefits of persisting user selection for bulk actions for users?

A: The benefits of persisting user selection for bulk actions for users include improved efficiency, enhanced productivity, and a better user experience. Users can quickly select individuals across multiple searches, reduce the time spent on manual searching and reselecting, and tailor their search to their specific needs.

Q: How can Matomo measure the success of the implementation of persisting user selection for bulk actions?

A: Matomo can measure the success of the implementation of persisting user selection for bulk actions by tracking user engagement, monitoring user feedback, and analyzing user behavior.