How Growth Analytics Finds Product-Market Fit (Authors of “Growth Data Analytics Playbook”)

If your startup or product team is drowning in dashboards but still guessing about growth, this conversation is for you. In this episode of AI with Arun, the three authors of “Growth Data Analytics Playbook: The Modern Guide to Finding, Measuring, and Scaling Product-Market Fit” break down how world-class teams actually use data to build, scale, and sustain growth. Authors: Joe Kumar, Mengying Li and Yuzheng Sun We dive into: How to choose a real North Star metric (and spot fake ones) Turning funnels into self-sustaining growth loops Practical frameworks for retention, resurrection, and monetization Avoiding “experiment theater” and building a serious experimentation culture How to structure growth analytics teams and rituals that actually drive decisions Whether you’re a founder, product manager, data scientist, or growth leader, you’ll walk away with concrete, battle-tested playbooks you can apply immediately to your own product. 0:00 Introduction and Guest Welcome 1:21 Motivation for the Growth Data Analytics Playbook 2:27 Identifying your Northstar Metric 3:42 PMF (Product Market Fit): A continuum, not a destination 6:40 Signs of market traction 8:18 Avoiding "vanity" or flawed metrics 10:52 The Growth Accounting Framework 13:30 Defining your Core User 16:16 Solving data quality challenges 18:24 Essential metrics for early-stage startups 23:05 How to analyze Retention Curves 28:19 Building an experimentation culture 32:03 Growth Team Structures: Centralized vs Hybrid 36:39 The lean data tech stack (Segment, dbt, Hex) 41:20 How AI is changing data analytics 46:15 Final advice & where to find the book #ProductMarketFit #GrowthAnalytics #DataDrivenGrowth #StartupGrowth #ProductManagement #GrowthMarketing #SaaSGrowth #aiwitharunshow #DataScience #expérimentation Join this channel to get access to perks: https://www.youtube.com/channel/UCnOpIzLQgKq0yQGThlNCsqA/join