Test-n-Tell - tiny apps, Big ideas

  In this evolving series I've already described how you can learn product discovery and delivery with the help of generative AIs such as ChatGPT. Product managers are ultimately judged by the success of their products. In this post, we will learn how to increase your chances of product success.

  Most modern businesses already realised how important data is for their success. Data science is one of the hottest roles in today's job market. Product managers work with data teams daily, however, should a data team itself have a product manager?

  Nineteenth-century Philadelphia retailer John Wanamaker allegedly said “Half the money I spend on advertising is wasted; the trouble is I don't know which half.” But that was in the nineteenth century, no way this is still a problem today, right? 

  The previous article described what does it mean to be technical as a PM and how to become one . You don't need to know how to code or have a computer science degree to be a PM. You might just need to learn how your product is being built, learn the language of developers and be mindful about the limits of your knowledge. 

Sometimes it's fine to make an intuition-based decision as long as the costs of being wrong are acceptable.

Hello {user_name} is not a personalization. Yet lots of companies do only that and believe they have a personalized product. But where is the real personalization?

KPIs. These three words are known to every person who works in a modern company. KPI stands for Key Performance Indicators . Those should tell us how our product and company is doing. But not all KPIs are the same. Figuring out KPIs for a product you need a good mix between leading and lagging indicators.

How do you know which product features your customers really want? Which features they cannot live without? Which features they would like? Which features will delight them? To find that out - try the "Kano model" analysis. Image credit "Kano model" is a product development and customer satisfaction theory. It was developed in the 80s by that man, Noriaki Kano ,  educator, lecturer, writer and consultant in the field of quality management.

15 years of research in social sciences sounds massive. What could it reveal about who we are and how do we respond to fast changing world around us ? Genevieve Bell , an anthropologist and a leader of Intel Labs’ interaction and experience research. In the following video, she shares gems of results that come from 15 years of research about us, humans.

Big data. The buzz word of today. Everybody needs big data, lots have just data. How to make it big? Well, grow it.