In this episode, Glenn and Howard talk about taking a balanced approach to hot new technology - even when everyone around you (especially your business partners) is all in on the promise.

What does it mean to be data-driven? That is the topic of this episode. Howard and Glenn delve into what it means from an organizational perspective and how it impacts product and engineering. We talk about quantitive and qualitative data, the value of each, and how they are connected. And, we discuss some of the problems in over-indexing on one or the other such as missing out on understanding why you are seeing what you are seeing. Another topic we explore is the danger of confirmation bias in interpreting the data. And we can't forget product analytics, metrics, KPIS, OKRS, and DORA. Just some of the many topics we touch on in this jam-packed session!

Links:

• Striking a balance between Quantitative and Qualitative data
• Product Analytics
  • Amplitude
  • Pendo
  • Heap
• DORA
• OKRs

After a LONG hiatus, we're back and this time we're seriously serious about sticking to keep this going. Unlike the last time when we were just serious. Seriously!

We thought we could jump back on a topic that is truly unique, something you've never heard of. Drum roll........Gen AI!

Join us for a lively conversation about Gen AI.

Will it destroy the world?

Has Skynet truly arrived?

What are these agent things?

We'll answer these questions and more and also shed some light on our experiences in using Gen AI and what tools we recommend.

Links from the episode

• ChatGPT
• Claude
• Github Copilot
• TabNine
• CodeScene (A very cool tool Howard and I talked about offline)
• Nilou Salehi's talk on "LLMs for Product Managers" (Reliable AI)