Tag Archives: product management
Generative AI Framework for Product Managers: Examples
Ever wondered how you as a product manager can stay ahead in the competitive era fuelled by technological advancements such as generative AI? Are you constantly grappling with the pressure to deliver groundbreaking solutions in line with your business goals? As a product manager, wouldn’t it be revolutionary to have some kind of a playbook that simplifies these challenges? What exactly can generative AI do for modern product managers? Which areas of your daily struggles can it alleviate, and what AI frameworks are best suited for your unique challenges? In this blog, we will dive into the potential of Generative AI vis-a-vis real-life use cases for product managers. Use Cases: …
Leading & Lagging KPIs – Concepts & Examples
Key performance indicators (KPIs) are important for any organization. They measure the success or failure of initiatives, projects and products with specific metrics and can be used to make informed decisions about future strategies. However, there is no one single definition of what a KPI is; instead, they come in many forms. KPIs are key metrics for product and project managers and are used to track the success of products and projects. This blog post will explore two types of KPIs – leading KPIs and lagging KPIs – as well as provide some examples. What are KPIs? KPIs are defined as a quantitative measure that indicates the performance of a …
Designing & Building Data Products – Best Practices
For those in the analytics industry, designing and building data products is a critical part of the job. It’s important to understand how to design and build data products that are useful, efficient, effective and loved by the end customers. In this blog post, we will discuss some best practices for designing and developing innovative data products. It’s important to keep these best practices in mind when developing data products / solutions as they can help ensure your product is successful. Call out Decision – Action – Outcome Hypothesis It is important to call out decision-action-outcome hypotheses when building data products because it serves as a blueprint for designing, testing …
How to Identify Use Cases for AI / Machine Learning
As artificial intelligence (AI ) and machine learning (ML) solutions and technologies continue to evolve, more and more businesses are looking for ways to incorporate them into their operations to realize a greater business impact. But with so many potential applications, it can be difficult to know where to start. In this blog post, we’ll outline some tips for identifying AI / ML use cases. We’ll also provide a few examples of how AI & machine learning can be used in business settings. So if you’re thinking about adding AI or machine learning to your toolkit, read on! This blog post will be appropriate for product managers, business analysts, data science …
Differences: Data Analyst & Business Analyst
Data analysts and business analysts are two very different positions in the world of business. Data analysts are responsible for examining data and manipulating it into a format that is easy to understand, while business analysts are responsible for taking this data and using it to make informed business decisions. This is not to say that one job is more important than the other – both positions are necessary for a well-functioning company. However, it is important to understand the distinctions between these two jobs so that you can better identify which role you might be interested in pursuing. Data Analysts vs Business Analysts Data analysts and business analysts are …
Book: First principles thinking for building winning products
Can innovation be taught and learned in a methodical manner? Can there be an innovation playbook using which, given a need to create a thing, product, or solve a complex problem, a set of well-defined steps be followed? How has Elon Musk been super successful time and again to create game-changing innovative products that created tremendous value for end-users and society at large? The answers to these questions can be found with a reasoning technique called first principles thinking. First principles thinking is defined as a method of reasoning or a thought process in which you try and understand the fundamental truth regarding different aspects of the existence of a …
Product Manager – Machine Learning Interview Questions
In this post, you will learn about some of the interview questions which can be asked in the AI / machine learning based product manager / business analyst job. Some of the questions listed in this post can also prove to be useful for the interview for the job position of director or vice president, product management. The interview questions can be categorized based on some of the following topics: Machine learning high level concepts Identifying a problem as machine learning problems Identifying business metrics vs value generation Feature engineering Working with data science team in model development lifecycle Monitoring model performance Model performance metrics presentation to key stakeholders Setting up …
I found it very helpful. However the differences are not too understandable for me