Product usage analytics, on the other hand, is meant for exploratory analysis of product data to understand things like user funnels, flows, and retention (to name a few). Product professionals as well as data analysts can dig into user trends and self-serve answers to their questions without...
Of all the data created across the entire user journey, product usage data is arguably the key to unlocking user insights.
When you enable Product usage, the following dimensions are available. If you want to change any dimension settings, create a copy of the system-owned data view and use the copied data view in Analysis Workspace. Action Name: The type of action that the user took. You can use this dimensi...
This can be a big differentiator between your products and your competitors’ so understanding product usage can be a huge advantage. Here’s a few examples of product analysis you can use: 1. Trends analysis Trends analysis can help you understand the impact of feature adoption over time and ...
The Group Analytics add-on lets you calculate metrics at the account or company level, like product adoption, active usage, and retention. Customizable dashboards offer a series of options to manage your metrics. Mixpanel enables interactive event analysis fromSnowflake,BigQuery, orRedshift. They ...
Product designers use these insights to improve the user experience (UX) and create a seamless product experience (PX) for easy navigation and usage. Their research methods include customer feedback forms and behavior tools (like heatmaps and session recordings) to understand where users are facing...
✅ 1. Comprehensive data collection: gather detailed data on a wide variety of data points—user interactions, session durations, page views, product usage—to build a complete picture of user interactions ✅ 2. User segmentation: group users based on specific attributes—age, location, language...
dashboard, which is the beginning of most people's journey with Confluence. We had some feedback about the dashboard from customer interviews, but we didn't have all the product analytics needed to really understand usage from a quantitative perspective. We had a lot of unanswered questions, ...
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Product teams can identify the most and least used product features and how each feature’s usage compares to the past. 2. Journey Analysis For most product use cases, a user must go through a series of steps to reach the solution. Those use cases can occur over a long period of time,...