46 min

Dan Gebler – Experience-driven Products Products for People Podcast

    • Business

Listen on Apple Podcasts
Requires macOS 11.4 or higher

This episode includes Dan Gebler, Director of Product Management at Meta. Dan has led product orgs at Soundcloud and Adobe, to name a few, and we cover the following topics:
- Product vision: how to create and sell it
- User testing (Qual/Quant)
- Global: things to consider
- AI ramifications
- Getting into and the role of Product Management
- Advice: Importance of curiosity

A couple of quotes from Dan:
“The experience has to have a great outcome, whether you are an end-user customer, or you're an internal business customer. There really isn't any excuse for designing something and building something that won't work really well.”

About testing:
"...the testing culture, experimentation culture, and growth cultures are just so different place to place. And often that depends on how solid your understanding or discovery work is at the beginning of a project.”

About AI:
“the companies that will be really successful with AI will have the right balance of customer facing applications: how can an end user, how can a customer actually feel empowered by working with something that's automated and has the superpower of being able to discover, find, match solve at a high speed and the technology actually improving on the back end.”

“The responsible companies will see AI as an accelerator and a way to enhance.”

This episode includes Dan Gebler, Director of Product Management at Meta. Dan has led product orgs at Soundcloud and Adobe, to name a few, and we cover the following topics:
- Product vision: how to create and sell it
- User testing (Qual/Quant)
- Global: things to consider
- AI ramifications
- Getting into and the role of Product Management
- Advice: Importance of curiosity

A couple of quotes from Dan:
“The experience has to have a great outcome, whether you are an end-user customer, or you're an internal business customer. There really isn't any excuse for designing something and building something that won't work really well.”

About testing:
"...the testing culture, experimentation culture, and growth cultures are just so different place to place. And often that depends on how solid your understanding or discovery work is at the beginning of a project.”

About AI:
“the companies that will be really successful with AI will have the right balance of customer facing applications: how can an end user, how can a customer actually feel empowered by working with something that's automated and has the superpower of being able to discover, find, match solve at a high speed and the technology actually improving on the back end.”

“The responsible companies will see AI as an accelerator and a way to enhance.”

46 min

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