Hey Sid, what is the essay that you are talking about in Activity-1? I am unable to follow or find any link. Can someone guide here?

Hey @Sid Arora , Whats the schedule that we are following from tomorrow. Can you please share the timing of the sessions?

PRODUCT NAME: Rovo AI - Atlassian WHAT IT DOES: Helps write Wiki docs and Jira tickets WHAT CAN'T BE FULLY SPEC'D: With multiple formats existing for both writing documents including but not limited to PRDs, Technical docs, business docs as well as Epics and user stories. This is what an assistant will need to do to match the expectations of the writer: 1. Understand the context 2. Understand the writing style 3. Format of the content 4. Depth of understanding the type of product 5. End user type 6. Predict output There are multiple factors involved in writing/re-writing a document for varied purposes and user types, this will need to include varied outputs. Think of an article being written in a newspaper and an editor reviewing and re-writing bits to improve it. WHY AI (NOT SOMETHING SIMPLER): Everything about this problem can revolve around prediction of what user wants rather than it being a simple output. It will have to be reviewed multiple times and given feedback on to produce multiple outputs which is a problem of relativity and context instead of algebra. A formula based product would be lacking here as in case of early chatbot assistants which could just be used to gather context rather than understanding it. HOW IT HANDLES BEING WRONG: With reference to AI, It might be better to use the terms Acceptable and Unacceptable. This product has a way of tracking both kinds of responses with ‘Replace’ prompt being an ideal way to track any output produced that is acceptable to be directly used into the documents created. ‘Thumbs down’ or abandonment of the output or providing AI multiple iterations of prompts being used as way to track unacceptable responses. ONE THING THE TRADITIONAL PM WOULD MISS: A traditional PM might just focus on the output to be in a set format for different types of documents or tickets, track the keywords in the output. This would greatly limit the capability of the product.

YouTube (Video streaming Platform): - Usecase: I want to share my videos and watch the videos that others create - When I am have time on my hands I want to see the videos that other people like me created and also share the videos that I created with othersSo that I can entertain myself or understand things from others - Alternatives- Social media platforms- Facebook, Instagram- TikTok- Educational platforms- Coursera, Udemy- WhatsappYoutube’s - messaging- Share your videos with Friends, Family & the world. It emphasizes the need that everyone wants to share their creative sides & thoughts with their friends, family & the world and in tern see what others have created Google Maps (Navigation App): - Usecase: I want to go from one place to another and want to know the fastest way to reach there - When I have to go from one place to anotherI want to know the best/fastest way to reach thereSo that I don’t have to ask anyone the route and can reach there in a shortest time - Alternatives:- Map my India- Stranger on the side of the road- Taxi driver - Messaging - Discover the world with google Maps. Finding how to reach a place is ingrained in this messaging with exploration of the world WhatsApp - Use case: I want a faster and easier way to send a text message to anyone in my contact list - When I want communicate anything with my friends or family or people I know I want to have an easier way to contact them which is fast and efficientSo that I can understand if they have got the message and have read it - Alternatives:- Text Message- Social media platforms- I-message- Email - Messaging- Stay in touch with friends & familyWhich aligns with the use of WhatsApp to stay connected with people in your contact list who are more likely to be my friends and family or colleagues

The module provided a great exposure of things to be done and when during Product discovery in a very theoretical way but provided little practice help. Example: 1. How do we approach the discovery work for solutioning? 2. Post the User research how do we reach the right problem to solve for the users? 3. The module also pinpointed on continuous discovery through experimentation - How does the experimentation work? 4. How do we effectively validate the problems and solutions we find out during the Product discovery phase? 5. What is the best way to document and communicate the Product discovery done to the design, development team etc. so as to get alignment from all the teams? @Sid Arora

The most important takeaways were frameworks for me within this module: 1. The double diamond very clearly outlines the discovery process 2. The Jobs to be done framework is how you can bring the framework into practice to do the discovery work and understand the user pain points and synthesis the target Use case 3. The user research methods Apart from this the additional resources were much more helpful specially the video by Teresa Torres and the Jobs to be Done writeup which helped me understand how to implement the practices.