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Ilya Volodarsky

08/01/19

@ Y Combinator

Once you're confident in your product-market fit, consider implementing a data warehouse like Google BigQuery to democratize data access and enable deeper analytics.

Video

Ilya Volodarsky - Analytics for Startups

@ Y Combinator

Ilya Volodarsky - Analytics for Startups

08/01/19

Related Takeaways

Ilya Volodarsky

08/01/19

@ Y Combinator

Implement a data warehouse to democratize access to data across your team, allowing non-technical co-founders to ask questions and understand metrics without relying solely on technical staff.

Harvard Innovation Labs Cast

06/12/13

@ Harvard Innovation Labs

It's essential to understand that while the product is crucial, leveraging data effectively can provide significant business advantages.

Mark Zuckerberg

08/17/16

@ Y Combinator

I believe that the best way to grow a product is to invest in data infrastructure, allowing you to process experiments and learn from community feedback.

Y Combinator Cast

04/22/23

@ Y Combinator

After launching your MVP, your goal is to iterate towards product-market fit by using both hard data from analytics and soft data from user feedback.

Ben Brook

04/19/25

@ EO

Finding product-market fit is challenging; it's essential to trust data and understand customer needs rather than relying solely on your excitement about the product.

Emmett Shear

04/22/17

@ Y Combinator

In the early stages of your startup, focus on building the product and talking to users to gain insights that data alone can't provide.

Y Combinator Cast

02/08/25

@ Y Combinator

The founder of Data Curve pivoted from a hackathon idea to creating AI tools for product managers, demonstrating the importance of understanding the target market and having relevant experience.

Ilya Volodarsky

08/01/19

@ Y Combinator

Analytics, including primary and secondary metrics, are crucial for driving the MVP and product-market fit process, helping you test and focus your team after achieving product-market fit.

Y Combinator Cast

04/22/23

@ Y Combinator

It's important to keep your analytics stack simple and effective; tools like Google Analytics or Amplitude are sufficient for early-stage startups.