Here’s why every Product Manager must learn to love data. You must not dismiss working with data because you are not a “math person”. So says Heather McCloskey who reminds us that using data to make decisions doesn’t have to be difficult. There are a multitude of analytic tools available to make your life easier and if you want to go deeper, you’ll only need a quick refresher on statistics to make sense of what’s in front of you.
The 87 most essential tools for data-driven Product Management. Now you don’t even have to look for the tools you need. Included in this exhaustive list are tools relating to roadmapping, a/b testing, prototyping and much more.
Data-driven decision making is Product Management. In this podcast, INDUSTRY speaker alum Maggie Jan underscores the importance of looking for trends in data and questioning your natural intuition regularly.
The problem with data-driven decisions. You mean data is not the holy grail? Trust Des Traynor to be the one to remind us that it’s not that easy. According to him, insights coming from data are just one part of the puzzle. Companies in different markets with different challenges will have other forces governing their decisions, such as competitive pricing models and being customer focused. This will result in those companies needing to make decisions counter to what they are learning from looking at data.