Data Visualization for AI Prototyping: How Product Managers Validate Hypotheses Quickly

Namaste 🙏 and welcome to my blog. I write about product management, data science, and software engineering. For more: About Me | Mentoring | Blog | My Recommendations


AI started integrating in our daily lives in the form of humble Youtube, Amazon recommendations, to the addictive Instagram and TikTok reels, to chatbots, smart home devices, and so much more. However, AI got a lot more pervasive when companies like OpenAI (ChatGPT), Google (Gemini), Facebook (Llama), Microsoft (Copilot) built LLMs (Large Language Models) which had the capability to generate human-like conversations and enabled us to refine and steer conversations towards the length, format, style, detail, and language, we desired.

The growth of LLMs spawned several more use cases which allowed people to use AI in professional lives as well. So, while discussing the use cases with my fellow product managers, I figured there’s a lot of content on which tools to use & for which purpose. However, a lot of content on how to use those tools for niche use cases is still behind paywall.

That’s when, I decided to write a multi-part blog series on AI Prototyping where I will pick a tool and share a sample use case using step-by-step guides. The intent is not to overload you with a plethora of state-of-the-art tools, rather the focus will be on enabling you to use AI tools for your daily professional life as a Technical Product or Program Manager. 

Data Visualization
Data Visualization for AI Prototyping using Claude for Product Managers
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Journey of Launching Cross Border Instant Payments

Cross Border Instant Payments
Cross Border Instant Payments

“And then what?” is a phrase and a question that’s commonly used/asked in my Payments team. This 3 word phrase is very powerful and necessary for a couple of reasons: one because it promotes 2nd and 3rd order thinking and second because our decisions impact how trillions of dollars move everyday between countries & continents.

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Driving Revenue Growth: How to Estimate Projected Revenue for New Features

As a Product Manager, I am responsible for estimating the revenue for the features and capabilities that I propose to be built. Over the last several months, I have been doing revenue estimation for the features and capabilities that I own in the app. I even talked about it in my last blog how I had to build up a hypothesis, estimate revenue to project the value of the feature, when I had recently joined as a product manager. In this blog, I will be talking about how I went from idea to an impact stage, and an actual example on how to estimate projected revenue for a new feature. So let’s dive in!

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3 Months of Product Management – 7 Reflective Learnings!

In my last post reflecting on the year that went by, I shared that I got a new role of Data Product Manager in Citi. Well, it’s almost 4 months for me in this role and I thought of writing another post reflecting on my learnings and experience of first 90 days.

So I thought of breaking down this post and share 7 initial impressions, in the form of learnings. A point to note is that these are based on completely personal experience, subjective opinions derived from being in a Product Management role in a Banking & Financial Services company. Hence, these impressions and learnings that I accrued from my role could vary! So now let’s get into it the meat of the substance.

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