About
Data, Startups and Products. Looking to discuss actual problems at startups and even mature ones and how data can be leveraged to solve identify, and solve them! Unlike other deterministic roles that we well understood, data science & analytics is severely underutilised to it's potential except for maybe the very few big players in Big Tech. Trying to make the learnings, and approach more accessible
Work
Data & Analytics
Maker History
- Dynamic Credit IntelligenceDynamic Credit Risk Evaluation & Forecasting Engine
- Nifty PredictorFeb 2021
- Dynamic Credit IntelligenceMay 2020
Forums
Is Idea Validation important to you?
I've been going down a rabbit hole recently around idea validation. In the past, when starting a business of project, I have done everything from blindly pursuing the idea until something worked (often hard) right through to doing a more formal testing of the idea (worth it but harder to be objective). I'm curious. How do PH people do idea validation? If you have a great idea, what are your next steps? Edit: there have been some really fantastic thoughts and suggestions here! Starting with the end-user in mind is key, in an effort to understand their pains. I'm still curious as to how to ascertain market demand. Where do you go to see potential demand for an idea?
How are you overcoming the complexity of Google Analytics?
It seems hard for a lot of the smaller product owners to get actionable insight form Google Analytics due its complexity. So I'm interested to know what you are doing to overcome this issue (if it exists).
What is your biggest concern as a Founder/Early Stage Employee ?
Startups are hard and at any time, there are plenty of things broken. What is your biggest worry as a startup founder or an early stage employee? Is it the product, distribution, hiring, execution or the sheer number of tasks and not knowing what to do?