Episode 56: How a Data Scientist and a Content Expert Turned Disappointing Results into Viral Research

It’s known as the “last mile problem” of data science and you’ve probably already encountered it in your career – the results of your sophisticated analysis mean nothing if you can’t get business adoption.

In this episode, data analyst Dr Matt Hoffman and content expert Lauren Lang join Dr Genevieve Hayes to share how they cracked the “last mile problem” by teaming up to pool their expertise.

Their surprising findings about Gen AI’s impact on developer productivity went viral across 75 global media outlets – not because of complex statistics, but because of how they told the story.

Here’s what you’ll learn:

1. Why the “last mile” is killing your data science impact – and how to fix it through strategic collaboration [01:00]
2. The counterintuitive findings about Gen AI that sparked global attention (including a 40% increase in code defects) [13:02]
3. How to transform “disappointing” technical results into compelling business narratives that drive real change [17:15]
4. The exact process for structuring your insights to keep executives engaged (and off their phones) [08:31]

Guest Bio

Dr Matt Hoffman is a Senior Data Analyst: Strategic Insights at Uplevel and holds a PhD in Physics from the University of Washington.

Lauren Lang is the Director of Content for Uplevel and is also a Content Strategy Coach for B2B marketers.

Links

• Connect with Matt on LinkedIn
• Connect with Lauren on LinkedIn
• Can Generative AI Improve Developer Productivity? (Report)
• Connect with Genevieve on LinkedIn
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