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JUSTANOTHERPM
983 members • Free
3 contributions to JUSTANOTHERPM
11d •
AIPMA | Module 1 Activity | Coh 001
Please share a document with the LLM's name, prompt and the learning summary of session. Please include a visual (optional) Also share in the comments below how would you define "good quality" in this case, and how would you measure success of the "Online classes learning summariser" feature
1 like • 4d
Prompt used with LLM Claude Haiku 4.5: Summarize the attached notes from a class I attended online, focus on the the transition of traditional PM to AI Product Management. Also, provide a graphical representation of the 4 pillars of AIPM. Good quality: Some important parameters of good quality would entail defining accuracy, usability, relevance, confidence, and consistency. The summarizer would need to be observed, tested and tweaked for these parameters. MODEL-LEVEL METRICS (Internal) ├─ Accuracy Score: % of key concepts correctly identified ├─ Hallucination Rate: False/unsupported claims per summary ├─ Coverage Score: % of important points included ├─ Reproducibility: Consistency across same input └─ Benchmark: Automated evals against expert summaries
Dec '25 •
Week 1, Activity 1: Spot the Paradox in Real Products
Submit your analysis here. 👇 How to Submit 1. Fill out the template from the essay 2. Post your response in the comments below Then Read & Respond: Once you've submitted, read at least 2 other people's responses and leave thoughtful feedback. Let's go. 👇
0 likes • 24d
I thought of a new product and thought of how a traditional PM versus AI PM would approach. PRODUCT NAME: Context-Aware Language Translator and Trainer WHAT DOES THIS PRODUCT DO? Provides real-time translation between languages while simultaneously training the user to comprehend contextual, conversational, and colloquial usage beyond formal or textbook language. WHAT COULDN’T BE FULLY SPEC’D BEFORE BUILDING? The system cannot be exhaustively specified because tone, intent, cultural nuance, and situational appropriateness vary continuously across conversations and speakers, requiring adaptive learning rather than fixed rules or deterministic specifications. COULD THIS PROBLEM HAVE BEEN SOLVED WITHOUT AI? WHY AI? A rule-based or dictionary-driven solution can translate words but cannot reliably infer intent, tone, or social context; AI is required because the problem depends on probabilistic predictions about meaning and usage rather than deterministic logic. HOW DOES THE PRODUCT HANDLE BEING WRONG? When translations or suggestions are incorrect, the user can provide direct feedback or ratings, which the system uses to refine future outputs; the experience is designed to encourage correction and learning rather than presenting results as authoritative or final. ONE THING A TRADITIONAL PM WOULD MISS: A traditional “spec, build, ship” PM might focus on well-defined translation accuracy metrics while overlooking the need for continuous iteration, feedback loops, and user trust mechanisms that are essential for an AI system operating in ambiguous, real-world linguistic contexts.
1 like • 23d
@Vedanshi Murarka Here's the link to the prework, I too started late, but will try to catch up by long weekend. https://www.skool.com/justanotherpm/classroom/99acd3ae?md=32793054a010433ab836c078e6b706ab
Jun '24 •
Welcome Aboard - Start Here - Introduce Yourself
Hey there, And a warm welcome to our vibrant community. This is where you start the journey towards making your dreams a reality. This community is not just about product management. Instead, it is about sharing your aspirations, your ambitions, your goals. And then learning the things that will help you achieve the same goals. And the best way to give back to those who helped you along the way is to pass it forward. Help others who are in similar situations as you were by guiding them and sharing the lessons that you learned in your journey So without further ado, let's do this. Let's do it together. Let's meet our professional goals and help others meet theirs. A short intro to this community: You will find three major sections: Community: where you can post and read all the posts on all topics (or choose to filter the ones that are of most interest) Classroom: this is where you will find all the courses and challenges. You will automatically have access to all the FREE resources and the paid courses that you've already bought. Events: this is where you can find a calendar of all the upcoming (and past events) you can RSVP, get access to sign up links and recordings. With that said, enough about the community, let's know you a little bit more. Tell us: - Where you’re from - What you do - What you’re looking to learn or achieve here - A fun fact about yourself Excited to grow and learn with you!
2 likes • 28d
Hi there, This is Aditya, I'm a Data Engineering Manager working for an insurance company, wanting to upskill to a PM and learn more about AI. I'm hoping to launch a data product this year, and make it a success.
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