🎙 The format bridges the gap between growth theory / frameworks and (dirty) hands-on data work, to actually bring them into action.
It will be mostly interview based, picking the brains of experts and practitioners in the field.
In our first episode, we kick off with a podcast introduction, and how you can get from analysis to hypothesis in 5 steps:
1️⃣ Scope definition
2️⃣ Baseline metrics & goal
3️⃣ Problem first
4️⃣ Hypothesis formulation & ranking
5️⃣ Next steps
Podcast Intro: How to Use Data for Effective Hypothesis and Test Formulation
adasight.substack.com
Podcast Intro: How to Use Data for Effective Hypothesis and Test Formulation
🎧 Today marks our humble beginnings of Note One, the podcast for data-enabled growth for startups and scale ups.
Note One
Note One is for entrepreneurs and growth practitioners who want to learn more about how to leverage marketing and product data for growth.
Hosted by the growth and data consultancy Adasight, industry frameworks, tools, and methodologies are discussed with experts and practitioners.
Every podcast (podclass) aims to provide practical, actionable takeaways, similar to a academic class for a dedicated topic.
Note One is for entrepreneurs and growth practitioners who want to learn more about how to leverage marketing and product data for growth.
Hosted by the growth and data consultancy Adasight, industry frameworks, tools, and methodologies are discussed with experts and practitioners.
Every podcast (podclass) aims to provide practical, actionable takeaways, similar to a academic class for a dedicated topic.Listen on
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Appears in episode
Gregor Spielmann
Podcast Intro: How to Use Data for Effective Hypothesis and Test Formulation