A Product Analytics report examines how users interact with your product, tracking usage patterns, feature adoption, user engagement, and feedback to provide insights that help improve the product experience and drive user satisfaction. It tells you which Product Analytics efforts are working, which are not, and recommends opportunities for growth. A great Product Analytics report includes an overview, key metrics, and recommendations on what to do next.
1. Overview
The overview is a short summary in plain English that explains what happened with Product Analytics over the recent reporting period.
2. KPIs with key metrics
KPIs show how effectively you’re hitting your Product Analytics goals. By measuring the changes in the key Product Analytics metrics, such as user engagement, feature adoption rates, user retention, and session duration you'll know whether you’re making progress towards your goals.
3. Charts
Charts provide a visual representation of your data, making it easier to identify trends and patterns. Include charts that illustrate key metrics such as user engagement, feature adoption rates, user retention, and session duration. Use bar charts, line graphs, and pie charts to display data clearly and effectively.
4. Recommendations
This section outlines the next steps you can take to improve your performance.
With Narrative BI, you can automate your Product Analytics reports in minutes. Here’s how to do it in three easy steps:
1. Connect your Product Analytics data source in a few clicks.
1. Connect your Product Analytics data source such as GA4 in a few clicks.
2. Drag and drop the KPIs, such as user engagement, feature adoption rates, user retention, and session duration as you customize your report.
3. Set the reporting schedule.
When you are done, you will receive automated Product Analytics reports by email or in Slack. You can also easily share the reports with your team by clicking the “Share” button in reports.
