What makes people latch onto data products and come back for more? In today's episode, Brian T. O'Neill unveils the processes and teams that make data and A.I. products engaging and sticky for users.
Brian:
• Founded and runs Designing for Analytics, a consultancy that specializes in designing analytics and ML products so that they are adopted.
• Hosts the "Experiencing Data" podcast, an entertaining show that covers how to use product-development methodologies and UX design to drive meaningful user and business outcomes with data.
In today's episode, Brian details:
• What data product management is.
• Why so many data projects fail.
• How to develop machine learning-powered products that users love.
• The teams and skill sets required to develop successful data products.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.