Published inBootcamp·May 23Member-onlyHow to find or build a dataset for machine learning / AI projectsSkills block. Session 6 You have an AI algorithm and you want to develop it to a model or check the accuracy or other characteristics, whatever the option is first thing you will need is a dataset. You may want to start answering these questions first What type of dataset you need: structured, unstructured or semi-structured data? Do you…3 min read3 min read
May 7Member-only8 things one needs to know to understand data science. Described in anatomy termsSkills block. Session 5 In this article I will breakdown the key components of backend infrastructure for a modern scalable data science project Above image shows first 4 components any data science project will feature starting with Prototyping Layer (below 4) 1.Data warehouse Data warehouse is responsible for storing both historical and real-time data, which…4 min read4 min read
Mar 15Member-onlyApplying PM principles to your careerLifestyle block. Session 1 Bird-eye view If you apply a timeline to your career it will look something like: Detailed view So this long cable can have 4 wires (at early stage i.e. MVP) as seen below in profileProduct Management2 min readProduct Management2 min read
Feb 23Member-onlyData vs Product maturity stageStrategy block. Session 7 — Product Data1 min readProduct Data1 min read
Feb 23Member-onlyProduct analytics. OptimisationStrategy block. Session 8 — How product analytics helps companies to build a better business? Understand how people are using the product: user flows Analysing A/B test performance: A/B test, user & event reports Find bottlenecks in the product funnel: product funnels Identifying what makes some users your best customers: retention analysis Case studies 1. Using product funnel analysis case scenarioProduct Analytics3 min readProduct Analytics3 min read
Feb 23Member-onlyHabits in product managementResearch block. Session 10 — A book named Hooked breaks down 4 steps in habit forming process. Below I will uncover these 4 steps. or The original “hook” diagram by the author, Nir.Hooked2 min readHooked2 min read
Feb 6Member-onlyProduct Analytics. ImplementationGrowth Block. Session 3 — Implementing product analytics What info will be required to decide on metrics: - Business model (app, eCom, SAAS etc) - User journeys - Product features available ToolsProduct Analytics3 min readProduct Analytics3 min read
Feb 6Member-onlyUser-centred product managementStrategy block. Session 6 — Ideal Customer Profile2 min readIdeal Customer Profile2 min read
Published inBootcamp·Jan 26Defining Data. Customer Data PointStrategy block. Session 7 — Data is a language, similar to English, that varies among stakeholders, just as you would vary / adjust your language and vocabulary based on the audience Defining data is important Everyone should speak the same terminology. Know your test inside outProduct Management2 min readProduct Management2 min read
Published inBootcamp·Jan 23Product analytics vs Marketing analyticsStrategy block. Session 6 — Product analytics is a way to tell a story about how people are using your product so that you can understand how to improve their experience and positively impact your business metrics. Building blocks of product analytics Users (people) + Events (things that people do) and their properties End-to-end analytics set upProduct Analytics1 min readProduct Analytics1 min read
