{"id":83091,"date":"2024-10-24T17:12:10","date_gmt":"2024-10-24T16:12:10","guid":{"rendered":"https:\/\/www.prodpad.com\/?p=83091"},"modified":"2025-01-13T16:24:39","modified_gmt":"2025-01-13T16:24:39","slug":"data-driven-product-management","status":"publish","type":"post","link":"https:\/\/www.prodpad.com\/blog\/data-driven-product-management\/","title":{"rendered":"Data Driven Product Management: Backing up What You Do With Evidence"},"content":{"rendered":"\n

Data-driven Product Management is all about finding facts. Digging up the nuggets of truth about your product and your users that you can use to lead your product development and future decisions.\u00a0

When thinking about all the different things you can do to potentially make your product better, it\u2019s easy to be frozen stiff by choice. Which option is right? What should I choose? Should I focus on onboarding? Is it best to make changes to the UI? What if I get it wrong? What if I ruin things? Have I left the stove on? Ahh, it\u2019s all too much!\u00a0

Breathe out. Take a chill pill \ud83e\uddd8. By diving into the data you can pull out information that guides you to the best thing to do. You can test your ideas and hypotheses to make sure it\u2019s actually a valid route.\u00a0

It\u2019s just like science. Isaac Newton once had a theory that objects were being pulled down to the ground, he tested it with data, and then boom, gravity exists. If your data-driven Product Management suggests that a certain action will improve a key metric of yours, then it\u2019s worth trying out.

Data is central to a Product Manager\u2019s job, and as the years go by more and more PMs are becoming dependent on it, keen to run the numbers before doing anything. That\u2019s a good way to be – for the most part.\u00a0

Let\u2019s run through data-driven Product Management, how to do it, and if it\u2019s always the best approach to your product discovery<\/a> and beyond.<\/p>\n\n\n

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We will cover:<\/h4>\n

What is data driven Product Management?<\/a>
\nWhat does it mean to be a data driven Product Manager?<\/a>
\nHow do you do data driven Product Management?<\/a>
\nWhy is data driven Product Management important?<\/a>
\nData Driven product management pros & cons<\/a>
\nHow do you collect data for data driven Product Management?<\/a>
\nWhat types of product data can be used in data driven Product Management?<\/a>
\nHow do I get better at data driven Product Management?<\/a>
\nIs data driven Product Management always the right approach?<\/a><\/p>\n<\/div>\n\n\n\n

What is data driven Product Management?<\/h2>\n\n\n\n

Data-driven Product Management is the practice of making product decisions based on insights gathered from data. By analyzing user behavior, feedback, and market trends, Product Managers can prioritize features, optimize roadmaps, and improve overall product performance, ensuring that actions are guided by real-world evidence rather than assumptions. Okay, but what does that mean in practice?\u00a0

Well, it means that you\u2019re making data-driven decisions and prioritizing your roadmap and product backlog<\/a> based on evidence and validated learnings. You\u2019re not guessing about what to do, doing it based on a hunch, or changing something just because a single customer asked for it. You\u2019re looking into the numbers and using statistics and metrics to support your decisions.

For many people, this type of Product Management is the gold standard these days. A process you should be adopting if you want any chance of being considered a good Product Manager. And that\u2019s fair – it\u2019s typically better to have your next steps backed up by data.\u00a0

But what data? Well, when following data-driven Product Management, there are two main types of product data: quantitative and qualitative.\u00a0<\/p>\n\n\n\n