New User Learning Plan
ECO provides an easy-to-use interface and an advanced feature set that empowers industry-leading application performance analysis for both native and web applications.
Getting started with ECO is straightforward. After integrating with low-code solutions, you can utilize out-of-the-box metrics and metadata to monitor application performance metrics and explore dimensional attributes across your web and native application data.
Summary of what you can do:
- Using the pre configured dashboards, such as App Overview Dashboard.
- Using out-of-box Metrics to Perform App Analysis
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Semantic Mapper: Enables raw event mapping and customization to simplify event organization and identity mapping.
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Metric Builder: Helps you build customized metrics including time interval metric and conversion metrics based on the mapped events, such as tracking the video playtime after viewers logged into the accountant.
Sensor Integration
Perform low-code integration of Conviva ECO sensor to enable automatic, and semantic-less data collection.
Perform These Tasks: | ECO Sensors |
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Conviva ECO integration workflow, for example, for Android:
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For platform-specific app sensor integration instructions, refer to: |
Using Trends
The Trends dashboard provides an easy-to-use interface with an advanced feature set that enables application performance monitoring and user behavior analysis within your applications.
Using out-of-box Metrics to Perform App Analysis
Conviva provides a set of out-of-box metrics, such as App Crashes, and Avg Screen Load Time, to help you quickly access application performance monitoring and user behavior analysis across your web and native applications. Using these metrics, view metric time series in the Trends metric widgets to discover time series performance patterns and anomalies. Also, in Trends drill-down across dimensional values in the dimension drill-down tables to discover impacts and root causes.
For the detailed definitions of out-of-box metrics, check ECO Metrics.
Perform These Tasks: | View Image: |
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1. On the Trends page, select the time range, such as Last 24 hours, and select metrics based on your requirements. For example, selecting Avg App Startup Time, Avg Network Request Duration, Active Users, Screen Loads, Avg Screen Load Time, and App Crashes to analyze the app performance and user experience. |
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2. Check the metric widget time series and distributions for data insights and performance. Select and slice the data to drill down specific anomalies. | |
3. To get more comprehensive data, click a widget you want to know more about, and check the dimension table. For example, clicking the Avg Network Request Duration widget. Based on your requirements, check the different dimension tables under the different tabs.
Learn more: ECO Trends |
Creating User Defined Metrics in Trends
Enable to create user defined metrics directly in ECO.
Perform These Tasks: | View Image: |
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Learn more: Creating User Defined Metrics |
Using Presets
Offer pre-defined feature options as quick starting points to provide access to commonly used metrics and metadata use cases.
Perform These Tasks: | View Image: |
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Learn more: Preset
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Performing Drill-down Analysis
Use drill-down analysis to effectively analyze app issues, identify error messages, and gain insights into user behavior.
Perform These Tasks: | View Image: |
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Learn more: Performing Drill-Down Analysis |
Activating Data
ECO data activation enables you to map new events and create metrics to efficiently explore and manage the current application events for enhanced insights and do data analysis for more complex scenarios.
Mapping New Event
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Map events as ECO trend drill-down entities to enable deeper analysis using dimensional drill-down.
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Map events to create customized metrics.
Perform These Tasks: | View Image: |
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Learn more: Map New Event |
Building Fully Customized Metrics
Customize metrics to analyze data for complex scenarios, such as analyzing the login process time.
Perform These Tasks: | View Video: |
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Learn more: Metric Builder |
Using Templates to Create Custom Metrics
Enable efficient custom metric creation with the assistance of pre-filled fields and commonly used event associations.
Perform These Tasks: | View Image: |
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1. On the Welcome page, click View All Metric Templates. |
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2. From the use case list, select a required use case. In this case, choose Login Start to Success Conversion Rate. Click Create This Metric with Wizard |
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3. Fill out required fields with wizard and click Next Step to complete the two required events configurations. Define metrics and click Create. |
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4. Find the created metric in the User Defined list. Learn more: Metric Builder |
Setting Collection Rules for Network Requests
Set collection rules for conviva_network_request events. When the rules are configured, the Conviva sensor will collect events that match these rules. You can then select the collected events as raw data for mapping if necessary.
Perform These Tasks: | View Image: |
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Learn more: Configure Network Request |
Viewing User Timeline
Drill down into session timelines for comprehensive and granular analysis of a session.
Perform These Tasks: | View Image: |
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Access the user timeline for impacted viewers or by user id.
Learn more: User Timeline |
Using Custom Dashboards
Enable the combination of widgets and display options to highlight the insights that are most meaningful to your users and business.
Perform These Tasks: | View Image: |
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Learn more: Custom Dashboards |
Custom Metric Creation Use Cases
These use cases provide a hands-on way for you to quickly implement custom metrics using Metric Builder and other ECO features. The custom metrics in the use cases are commonly used for analyzing the application performance and user experience.
Full Sign-Up Time
The custom metric Full Registration Time measures the time from starting the registration or sign-up process until the registration is complete. This metric enables you to do analysis of registration process and identify whether the process is cumbersome.
Full Login Time Monitoring
The custom metric Full Login Time measures the time taken for the entire login process, including the loading of the login form/page, user input of their username and password, form submission, and the subsequent loading of the page users are redirected to upon login. This metric is essential for analyzing application performance and identifying the root causes of slow login times.
Time to First Play
The custom metric Time to First Play measures the time from when a user logs in to the system, until the user plays a video.
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