Title: Users Overview
Locale: en
URL: https://sensorswave.com/en/docs/user-operation/overview/
Description: Learn about the core features and value of the Users module, including User List, User Profile, and Cohorts
The Users module focuses on deep insights at the individual user level and refined management of user groups. With this module, you can drill down from macro-level metrics to specific user behaviors, and save specific user groups as cohorts for subsequent analysis and operational scenarios.

The Users module helps you answer the following questions:
- When a metric is anomalous, which specific users are contributing to it?
- What has a specific user done in the product, and what issues have they encountered?
- How do you define and manage key groups such as high-value users and users at risk of churn?

## Core Features

The Users module includes three core features:

### User List

User List provides display and filtering capabilities for user attribute lists, supporting multiple access entry points:

- **Users menu entry**: Directly browse and filter the user list
- **Analytics model drill-down**: Drill down from Segmentation, Funnel Analysis, and other model results to specific users
- **Cohort drill-down**: View specific users included in a cohort

See [User List](user-list.mdx) for details.

### User Profile

User Profile provides a 360-degree view of an individual user, including:

- **User Profile**: Basic information and user properties
- **Activity**: Event behavior records arranged chronologically
- **Associated information**: Cohort membership, Feature Gate status, and Experiment participation

See [User Profile](user-profile.mdx) for details.

### Cohorts

Cohorts help you create and manage user groups based on specific conditions:

- **Static Cohort**: A fixed set of users that does not change after creation
- **Dynamic Cohort**: A set of users computed in real-time based on rules, automatically updated
- **Rule engine**: Supports combined filtering using user properties, user behaviors, and existing cohorts

See [Cohorts Overview](cohort-overview.mdx) for details.

## Relationship with Other Modules

### Relationship with Analytics Models

The Users module works closely with the Insights module:

- **From analysis to users**: In Segmentation, Funnel Analysis, and other models, click on metric values to drill down to User List and view specific users
- **From users to analysis**: Save User List filter results as cohorts to use as filter conditions in analytics models

See [Integration with Analytics](integration-with-analytics.mdx) for details.

### Relationship with Feature Gates

Cohorts can serve as targeting conditions for Feature Gates:

- Enable new features for specific cohorts
- Prioritize rollouts for VIP users
- Control feature visibility based on user properties

See [Feature Gates Overview](../feature-gates/overview.mdx) for details.

### Relationship with Experiments

Cohorts can be used for experiment allocation:

- Run experiments only for specific cohorts
- Exclude certain cohorts from experiments
- Compare experiment results across cohorts

See [Experiments Overview](../experiments/overview.mdx) for details.

## Typical Use Cases

### Scenario 1: Anomalous Metric Investigation

Discovered that the number of paying users dropped by 20% yesterday:

1. In Segmentation, view the "Payment Successful" event and check the daily trend
2. Click the value for the anomalous date to drill down to User List
3. Compare the user lists for yesterday and the day before to identify differences
4. Click a specific user to view their Activity and locate the issue

### Scenario 2: User Issue Investigation

Received a user complaint about being unable to complete payment:

1. Search for the user in User List
2. Enter the User Profile page and view the Activity
3. Find payment-related events and analyze the operation flow
4. Combine Feature Gate status and Experiment participation information to locate the root cause

### Scenario 3: Targeted Operations

Need to conduct specialized operations for high-value users:

1. Create a Dynamic Cohort: users who spent more than 1,000 yuan in the past 30 days
2. View the cohort user list to understand user characteristics
3. Apply the cohort to Feature Gates to enable exclusive features for these users
4. Use the cohort as a filter in analytics models to compare behavioral differences between high-value and regular users

### Scenario 4: Churn Risk Analysis

Need to identify and re-engage users at risk of churning:

1. Create a Dynamic Cohort: users who have been inactive for the past 7 days but had high historical activity
2. Regularly monitor changes in cohort size trends
3. Sample user Activity sequences to analyze reasons for churn
4. Conduct re-engagement campaigns targeting the cohort

## Prerequisites

Before using the Users module, you need to:

- Complete [SDK integration](../data-integration/client-sdks/javascript.mdx) and start receiving user data
- Properly implement [user identification](../data-integration/user-identification.mdx)
- Understand the relationship between users and events in the [data model](../data-integration/data-model.mdx)
- Have viewing permissions for the Users module

## Next Steps

Now that you understand the basic concepts of the Users module, you can:

1. **[Quick Start](quick-start.mdx)**: Get started quickly with the Users module through a complete example
2. **[User List](user-list.mdx)**: Learn how to view and filter user lists
3. **[User Profile](user-profile.mdx)**: Gain a deeper understanding of individual user profiles and behaviors

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**Last updated**: January 19, 2026