The traditional data science process is backwards.

We start with data and end with storytelling. We should be doing the opposite.

Most data scientists follow the same predictable process when delivering projects.

• Gather requirements.
• Collect data.
• Build models.
• Then create visualisations to communicate results at the very end.

We all do it because it seems logical and few of us have ever been shown another way.

But what if this traditional approach is actually working against us?

What if by saving visual storytelling for the end, we're missing opportunities to genuinely engage our stakeholders from day one?

Superposition founder David Cohen discovered this problem during his consulting career and has built an entire business around solving it.

His solution? Flip the script completely.

• Instead of starting with data, start with pictures.
• Instead of ending with visualisations, begin with them.
• Instead of gathering requirements through interviews, use gamified workshops that get stakeholders actively designing solutions.

The result?

• Higher buy-in;
• Clearer requirements; and
• Projects that actually solve the problems stakeholders care about.

In the latest episode of Value Driven Data Science, David joins me to share his complete framework for flipping the data science process on its head.

This episode reveals:

1. Why the traditional bottom-up data communication approach often misses the mark [02:36]
2. How moving visual storytelling to the start of a project can transform stakeholder engagement [06:40]
3. The gamified workshop framework that turns requirement gathering into collaborative problem-solving [08:50]
4. The counterintuitive first step that immediately improves data project outcomes [20:28]

Discover how to flip the script on your own projects and dramatically improve stakeholder engagement.

Listen now on Apple Podcasts or Spotify, or click the link below:
​Episode 82: Why You Should Start Your Data Projects with Pictures Not Data​

Talk again soon,

Dr Genevieve Hayes