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How Popular Trends Harm Your Product - Edoardo Ferrara-Bardile, N26

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Manage episode 338623716 series 3336731
Treść dostarczona przez Aram Melkoumov. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Aram Melkoumov lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

There’s too much focus on trendy concepts like being agile. There’s too much distortion because of ego and pride. How do you stay authentic, skip the trends, and have better judgment in your work as a product manager?

About Edoardo Ferrara-Bardile
Edoardo Ferrara-Bardile is a Senior Product Manager at N26. He started his career as an HR professional and transitioned into the product space as a self-taught individual. Being curious about technology, he eventually became a SAP consultant. Eventually, he held several product management roles. In another life, he would have become a carpenter.

Links We Mentioned:
Amplitude: https://amplitude.com/
Empowered: Ordinary People, Extraordinary Products by Marty Kagan: https://www.amazon.com/EMPOWERED-Ordinary-Extraordinary-Products-Silicon/dp/111969129X

SHOW NOTES:
00:00 | Who is Edoardo Ferrara-Bardile
00:52 | Not having a product background
06:36 | 2 issues with data
10:37 | How to remove bias from decision making
12:54 | Fake agile companies OR How to actually become agile
16:48 | Discovery taking too long? OR Balancing discovery with delivery
20:34 | Useful product management tools
22:43 | Who knows more than you?
24:38 | Fireside: open-ended questions, going faster, negotiation, data

QUOTES:
[08:21] “Data has two main issues. First, it doesn't give you everything. You may have tons of data but it won't give you everything. Second, it’s highly interpretable so it's how you will interpret data. It doesn't mean that data is telling you something - it means that you are understanding something from the data. You have your biases, your previous experience, your previous knowledge that will make you think of data in the way you do.”

Follow Edoardo Ferrara-Bardile:
https://www.linkedin.com/in/edoardo-ferrara-bardile/

Work with Crowdlinker:
https://www.crowdlinker.com/contact

  continue reading

79 odcinków

Artwork
iconUdostępnij
 
Manage episode 338623716 series 3336731
Treść dostarczona przez Aram Melkoumov. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Aram Melkoumov lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

There’s too much focus on trendy concepts like being agile. There’s too much distortion because of ego and pride. How do you stay authentic, skip the trends, and have better judgment in your work as a product manager?

About Edoardo Ferrara-Bardile
Edoardo Ferrara-Bardile is a Senior Product Manager at N26. He started his career as an HR professional and transitioned into the product space as a self-taught individual. Being curious about technology, he eventually became a SAP consultant. Eventually, he held several product management roles. In another life, he would have become a carpenter.

Links We Mentioned:
Amplitude: https://amplitude.com/
Empowered: Ordinary People, Extraordinary Products by Marty Kagan: https://www.amazon.com/EMPOWERED-Ordinary-Extraordinary-Products-Silicon/dp/111969129X

SHOW NOTES:
00:00 | Who is Edoardo Ferrara-Bardile
00:52 | Not having a product background
06:36 | 2 issues with data
10:37 | How to remove bias from decision making
12:54 | Fake agile companies OR How to actually become agile
16:48 | Discovery taking too long? OR Balancing discovery with delivery
20:34 | Useful product management tools
22:43 | Who knows more than you?
24:38 | Fireside: open-ended questions, going faster, negotiation, data

QUOTES:
[08:21] “Data has two main issues. First, it doesn't give you everything. You may have tons of data but it won't give you everything. Second, it’s highly interpretable so it's how you will interpret data. It doesn't mean that data is telling you something - it means that you are understanding something from the data. You have your biases, your previous experience, your previous knowledge that will make you think of data in the way you do.”

Follow Edoardo Ferrara-Bardile:
https://www.linkedin.com/in/edoardo-ferrara-bardile/

Work with Crowdlinker:
https://www.crowdlinker.com/contact

  continue reading

79 odcinków

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