Title: Quick Start
Locale: en
URL: https://sensorswave.com/en/docs/analytics/quick-start/
Description: Get started quickly with the Insights feature through a complete example
This guide will help you get started quickly with the Insights feature. Through a complete example scenario, you'll learn how to use Event Analysis and Funnel Analysis to analyze user behavior.

## Prerequisites

Before you begin, make sure you have:

- Completed [SDK integration](../data-integration/client-sdks/javascript.mdx) and started receiving data
- Understood the basic [Data Model](../data-integration/data-model.mdx) concepts
- Have analysis permissions for the project

## Example Scenario

Suppose you are a product manager for an e-commerce application and want to understand user activity and purchase conversion rates over the past 7 days. You will complete the analysis through the following steps:

1. Create an Event Analysis to understand user activity trends
2. Create a Funnel Analysis to analyze purchase conversion rates
3. Save the analysis results for future reference

## Step 1: Create an Event Analysis

First, let's create an Event Analysis to understand user activity trends over the past 7 days.

### 1. Navigate to Insights

1. Log in to the Sensors Wave console
2. Select your project
3. Click **Insights** in the left navigation bar
4. Click the **New Analysis** button in the upper right corner
5. Select **Event Analysis**

### 2. Configure Analysis Conditions

Configure the following settings in the query configuration area:

**Select an event**:
1. Click **Select Event**
2. Select "App Launch" or your defined active event
3. Set the measure to **Unique Users**

**Set the time range**:
1. In the time selector in the upper right corner
2. Select **Last 7 Days**
3. Set the time granularity to **By Day**

### 3. Add a Group By Dimension

To understand the activity of different user groups, add a Group By dimension:

1. Click **Group By**
2. Select **User Property** > **Operating System**
3. Click **Confirm**

### 4. Execute the Query and Interpret Results

Click the **Query** button and wait for the results. You will see:

**Chart area**:
- A Line chart showing daily active users over the past 7 days
- Different colored lines representing different operating systems (iOS, Android, etc.)

**Data table area**:
- A Table showing the specific user count for each operating system per day
- You can click column headers to sort

**Interpretation examples**:
- If iOS user activity is significantly higher than Android, you may need to focus on the Android user experience
- If activity drops on weekends, it suggests the product is primarily used in work-related scenarios

## Step 2: Create a Funnel Analysis

Next, let's create a Funnel Analysis to understand user purchase conversion.

### 1. Create a New Funnel Analysis

1. Click the **New Analysis** button in the upper left corner
2. Select **Funnel Analysis**

### 2. Configure Funnel Steps

Set up the key steps of the purchase process:

**Step 1**:
1. Click **Add Step**
2. Select the "Browse Product" event

**Step 2**:
1. Click **Add Step**
2. Select the "Add to Cart" event

**Step 3**:
1. Click **Add Step**
2. Select the "Submit Order" event

**Step 4**:
1. Click **Add Step**
2. Select the "Payment Successful" event

**Set the conversion window**:
1. Set the conversion Window to **7 days**
2. This means the user must complete the entire process within 7 days to count as a successful conversion

### 3. View Conversion Rates

Click the **Query** button, and you will see:

**Funnel Graph**:
- Shows the number of users and conversion rate at each step
- The height of the Column represents the number of users
- The percentage between steps represents the conversion rate for that step

**Key metrics**:
- **Overall conversion rate**: The total conversion rate from the first step to the last step
- **Step conversion rate**: The conversion rate from each step to the next
- **Drop-off rate**: The proportion of users lost at each step

### 4. User Drill-down

When you discover a step with a high drop-off rate, you can drill down to view specific users:

1. Click the Column in the Funnel Graph for a specific step
2. Select **View Lost Users**
3. The system will navigate to the User List page, showing users who dropped off at that step
4. Click on a specific user to view their Activity to analyze the reasons for drop-off

## Step 3: Save and Share

After completing the analysis, save the results for future viewing and sharing.

### 1. Save the Analysis

1. Click the **Save** button in the upper right corner
2. Enter an analysis name, such as "Daily Active User Trend" or "Purchase Conversion Funnel"
3. Select a save location (personal space or team space)
4. Click **Confirm Save**

### 2. Add to Dashboard

Add the analysis to a Dashboard for daily monitoring:

1. Click **Add to Dashboard**
2. Select an existing Dashboard or create a new one
3. Click **Confirm**

### 3. Share the Analysis

Share the analysis results with team members:

1. Click the **Share** button
2. Copy the analysis link
3. Send it to colleagues who need to view it

## Complete Process Review

Through the steps above, you have completed:

```
┌─────────────────────────────────────────────────────────────────┐
│                  Insights Quick Start Process                   │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│  Step 1: Event Analysis                                         │
│  ├── Select events and measures                                 │
│  ├── Set the time range                                         │
│  ├── Add Group By dimensions                                    │
│  └── Interpret analysis results                                 │
│                                                                 │
│  Step 2: Funnel Analysis                                        │
│  ├── Configure funnel steps                                     │
│  ├── Set the conversion window                                  │
│  ├── View conversion rates                                      │
│  └── User drill-down analysis                                   │
│                                                                 │
│  Step 3: Save and Share                                         │
│  ├── Save analysis results                                      │
│  ├── Add to Dashboard                                           │
│  └── Share with the team                                        │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘
```

## Common Questions

### What if the query returns no results?

Check the following:

1. **Time range**: Confirm there is data within the selected time range
2. **Event selection**: Confirm the selected event has been instrumented and reported
3. **Filter conditions**: Check whether filter conditions are too restrictive
4. **Data latency**: Newly reported data may have a few minutes of delay

### How do I compare data from different time periods?

1. Enable the **Compare** feature in the time selector
2. Select the time period to compare (e.g., same period last week, same period last month)
3. The chart will display data from both time periods simultaneously

### How do I export analysis results?

1. Click the **Export** button in the data table area
2. Select the export format (CSV or Excel)
3. Download the file

## Next Steps

After completing the quick start, you can:

1. **[Event Analysis](event-analysis.mdx)**: Learn the full capabilities of Event Analysis in depth
2. **[Funnel Analysis](funnel-analysis.mdx)**: Master more Funnel Analysis techniques
3. **[Retention Analysis](retention-analysis.mdx)**: Learn how to analyze user retention
4. **[Common Analysis Features](common-analysis-features.mdx)**: Explore features shared across all analysis models
5. **[Best Practices](best-practices.mdx)**: Master data analysis methodologies

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**Last updated**: January 19, 2026