These three fundamental concepts are exceptionally needed for being able to use data to enhance product strategy.
In product management, being able to analyze and also effectively apply data is key. This is just the way it is. The following pillars and fundamental concepts are important if we want to improve product strategy with data: Granularity determines the level of detail in any data analysis, allowing you to make precise adjustments based on your user behavior. Distribution shows how data points are spread, as well as highlights trends and anomalies.
Here are a few examples of data with high and low granularity levels and their use cases for Product Managers: Here are a few examples of data with high and low granularity levels and their use cases for Product Managers: Granularity Level Type of Data Example of Data Use Case for Product Managers High Individual user actions Exact times and details of user logins Analyzing user behavior to optimize login flows and reduce friction High Detailed transaction records Every transaction made,...
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