Pyze Widget

Category: Widgets
Subcategory: Utility

Overview

Pyze increases the business results of application modernization projects by providing data intelligence to optimize business process inefficiencies, improve user adoption and task productivity, and optimize workflows. Pyze offers automated process mapping, custom business metrics, and usage analysis to identify activity hotspots, process bottlenecks and opportunities for UX improvements

Documentation

Pyze

Description

Pyze provides Usage & Product Analytics across all Mendix applications.

As a leader in AI driven usage and process analytics (Gartner Market Guide for Web and Mobile App Analytics), Pyze addresses the increasing critical business needs to understand and optimize business process inefficiencies and improve productivity across applications and platforms. Pyze automatically maps process journeys to surface opportunities to optimize end-to-end processes and improve individual task level user experiences. Key value propositions include:

  • Automatically map end-to-end business processes across applications and identify opportunities to improve optimization and automation, user productivity and task efficiency, and application enhancements
  • Measure aggregate business impact and KPI’s across customer journey’s and engagement, claims and onboarding, BPM, supply chain and RPA
  • Monitor the execution of business processes to assess cost per transaction, task execution times, identify hotspots and bottlenecks to prioritize application workflows and features

Documentation

Full Documentation is available at https://docs.pyze.com/docs/sdk-integrations/mendix/

Features

Enabling this widget will provide the following metrics, plus the ability to create custom metrics from any user interaction:

New Installs & Visitors

The number of new mobile app installs or new visitors to the web app.

Attributes: Cohort (number), App Name, Time & Time Series (Day, Week, Month, Day of Week, Hour of Day, Local Hour of Day), First Use (Weekly, Monthly & Time Since), Location (Country, State, City), Device Technology (Manufacturer, Product ID, App Version, OS Version, PPI, Cell Capability, Network Reachability, Language, Form Factor, Device Resolution).

Active Users/Visitors

Active Users measures Daily, Weekly or Monthly Active Users (DAU, WAU, and MAU)

Attributes: Cohort (number), App Name, Time & Time Series (Day, Week, Month, Day of Week, Hour of Day, Local Hour of Day), First Use (Weekly, Monthly & Time Since), Location (Country, State, City), Device Technology (Manufacturer, Product ID, App Version, OS Version, PPI, Cell Capability, Network Reachability, Language, Form Factor, Device Resolution).

Sessions

Measures the Mean or Total of times the user comes back into the app for a given attribute.

Attributes: Cohort (number), App Name, Time & Time Series (Day, Week, Month, Day of Week, Hour of Day, Local Hour of Day), First Use (Weekly, Monthly & Time Since), Location (Country, State, City), Device Technology (Manufacturer, Product ID, App Version, OS Version, PPI, Cell Capability, Network Reachability, Language, Form Factor, Device Resolution).

Usage

Measures the number of times users are in an app in a given session or sessions.

Attributes: Cohort (number), App Name, Time & Time Series (Day, Week, Month, Day of Week, Hour of Day, Local Hour of Day), First Use (Weekly, Monthly & Time Since), Location (Country, State, City), Device Technology (Manufacturer, Product ID, App Version, OS Version, PPI, Cell Capability, Network Reachability, Language, Form Factor, Device Resolution).

Screen Flows

Automated monitoring for user behavior funnels of each screen within the app to see where user engagement is happening and where they are not for understanding where the users are spending time in visits of the application.

Screen Popularity

Automated monitoring for user behavior on the number of time users are spending on each screen in visits of the application.

Cohort Analysis

 Cohort Retention displays the daily, weekly, and monthly retention numbers and rates for the application. Measuring retention based on cohort analysis is a way to measure the impact of different releases or user groups.

Cohort Retention Comparisons provide the ability to conduct homogeneous and heterogeneous comparisons. By selecting two different categories in drop-down menus, one can compare and contrast user data based on selections like country, phone capabilities, app version, even phone form factor. This information can be used to see correlations, determine which aspects of the app are performing, or weigh investment decisions.

Configuration

- Import the widget and add it to a form.

- Get your unique Pyze App Key from your pyze dashboard

- Update the Pyze App Key and other widget properties.

Widgets

Pyze Widget: Use this widget to track page views, drag this widget on all the pages you want to track.

Pyze Event Widget: Use this widget to send custom events to Pyze. You can also pass additional custom as well as entity attributes with this widget.

Pyze Event Button Widget: Use this button to track click events on buttons. You can also pass additional custom as well as entity attributes with this widget.

Releases

Version: 1.0.0
Framework Version: 6.10.20
Release Notes: - Pyze Widget to track page views - Pyze Event Widget to track custom events - Pyze Event Button Widget to track button click events