Data needs to be your best buddy if you're a product manager. You must focus on the data. This is a gold mine since data and product management cannot be separated. One of the gears that propels product management is data.
I thought I said, "product analytics." So why am I saying "Data" now?
Let's first explore what product analytics are.
Product analytics
Simply put, analytics is the study of data. Although data analytics may not be product analytics, product analytics is data analytics.
Why do product managers need to use data analytics?
You are concerned with anything that has an impact on a product's success as a product manager. How do you keep track of everything that determines how relevant your offering is, then?
Data!
Your ability to make wise decisions is aided by data. This information is being used in product analytics to comprehend user requirements better. Building valuable products requires an understanding of the customer and their demands. It aids in addressing issues like:
It assists in determining the success and relevance of your SMART goals. Your line of sight as a product manager is data. Even after the product is released, it directs development. Data analytics is the process of attempting to make sense of this data or using it.
Product analytics and innovation
We may monitor measures such as the rate at which a product's features are adopted, its time to value (TTV), its daily active users (DAU), customer satisfaction rate/score, and retention rate, among others, with the use of product analytics. These kinds of statistics give us the evidence we need to determine whether our product is advancing innovation.
Three crucial factors—desirability, viability, and feasibility—must be taken into account while developing an innovative product. The concept came from IDEO.
Product analytics unquestionably promotes creativity. Product managers can do product analytics using a variety of tools like Google analytics, Amplitude, Mixpanel, Heap, Pendo etc...