Hi ,
As a data scientist, there's nothing worse than devoting months of your time to building a data product that appears to meet your stakeholders' every need, only to find it never gets used. It’s depressing, demotivating and can be devastating for your career.
But as the old saying goes, “You can lead a horse to water, but you can’t make it drink”. Or can you?
In the latest episode of Value Driven Data Science, I'm joined by Brian T O'Neill, Founder and Principal of Designing for Analytics, to discuss how you can apply the best techniques from
software product management and UI/UX design to create ML and AI products your stakeholders will love.
Highlights include:
- Introducing Brian T. O'Neill (00:19)
- Brian's journey from music to data product design (02:16)
- Understanding the real needs of stakeholders
(06:45)
- The importance of user-centred design in data products (09:33)
- Gaining insights through direct user interaction (12:16)
- Focusing on business and user experience outcomes (17:48)
- Debunking the myths of self-serve analytics and dashboarding (22:46)
- Data platforms vs. data products (27:26)
- Defining a data product: the value exchange principle (29:08)
- Designing human-centred data products (32:56)
- The CED framework: conclusions, evidence, data (36:01)
- Final advice for data scientists (45:06)
You can listen to this episode by
clicking the button below, or find it on Apple Podcasts, Amazon Music, Spotify or Google Podcasts.
