Hi ,
"We're not seeing a big thing from a data perspective. It's just not that exciting."
Their surprising findings about GenAI's impact on developer productivity went viral across 75 global
media outlets. But when Uplevel Senior Data Analyst Dr Matt Hoffman first shared the analysis results with Uplevel Director of Content Lauren Lang, this was what he thought.
When Matt and the data science team started their analysis, they had expected it would show that GenAI improved programmer speed and accuracy. So, when the opposite proved true, the team was
disappointed.
That's when Lauren stepped in and helped them to see the real story their findings revealed.
The result?
A contrarian report that
sparked widespread debate among engineering leaders.
Without the analysis, there would have been no findings. But without effective communication of those findings, they would have had no impact.
In the latest episode of Value Driven Data Science, Lauren and
Matt join me to break down exactly how they achieved their impressive results - and how you can, too.
Here's what you'll learn from this episode:
- Why the "last mile" is killing your data science impact - and how to fix it through strategic collaboration.
- The counterintuitive findings about Gen AI that
sparked global attention (including a 40% increase in code defects).
- How to transform "disappointing" technical results into compelling business narratives that drive real change.
- The exact process for structuring your insights to keep executives engaged (and off their phones).
Make your analysis
impossible to ignore. Click below to listen to it now (or find it on Apple Podcasts and Spotify).
Episode 56: How a Data Scientist and a Content Expert Turned Disappointing
Results into Viral Research
Talk again soon,
Dr Genevieve Hayes.
