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Product analytics is best placed in the hands of the developers - with James Hawkins from Posthog

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Sisällön tarjoaa deepskydata and Timo Dechau - deepskydata. deepskydata and Timo Dechau - deepskydata tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

There is a specific kind of person or a particular kind of role, which is usually ignored in data projects and especially in tracking projects.

And these are developers.

It's pretty shocking - I know. They rarely play an important role in these initial data projects. Even when they finally have an essential role. They ensure that the correct data gets sent to whatever tool you use.

It’s often: “Take these 100 events and please implement them fast because we all need them for things you don’t need to care about”.

And I can already tell you this is usually an approach that doesn't work out well. And that was interesting when I talked to James from Posthog and asked him, what is your target audience?

He immediately answered: developers. We are a developer-first analytics product.

This is quite interesting. Because product analytics targets product managers, usually. But Posthog calls itself a Product OS and takes the features beyond classic product analytics. So they are targeting the developers. Well, the persons who are basically building the product.

And it makes sense. Developers are the ones who know exactly how a product works. They know precisely where it is the best place to maybe get some insights from. And usually, they have often really good ideas about data. What kind of event could be important to make the product better?

This episode was a good lesson for me on how a product is defined when you have a clear idea of your target audience and how your product automatically starts to be different from the usual competition, just because you have a different focus. I hope you enjoy it as well.

  continue reading

9 jaksoa

Artwork
iconJaa
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on February 26, 2024 18:24 (7M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 341953526 series 3332241
Sisällön tarjoaa deepskydata and Timo Dechau - deepskydata. deepskydata and Timo Dechau - deepskydata tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

There is a specific kind of person or a particular kind of role, which is usually ignored in data projects and especially in tracking projects.

And these are developers.

It's pretty shocking - I know. They rarely play an important role in these initial data projects. Even when they finally have an essential role. They ensure that the correct data gets sent to whatever tool you use.

It’s often: “Take these 100 events and please implement them fast because we all need them for things you don’t need to care about”.

And I can already tell you this is usually an approach that doesn't work out well. And that was interesting when I talked to James from Posthog and asked him, what is your target audience?

He immediately answered: developers. We are a developer-first analytics product.

This is quite interesting. Because product analytics targets product managers, usually. But Posthog calls itself a Product OS and takes the features beyond classic product analytics. So they are targeting the developers. Well, the persons who are basically building the product.

And it makes sense. Developers are the ones who know exactly how a product works. They know precisely where it is the best place to maybe get some insights from. And usually, they have often really good ideas about data. What kind of event could be important to make the product better?

This episode was a good lesson for me on how a product is defined when you have a clear idea of your target audience and how your product automatically starts to be different from the usual competition, just because you have a different focus. I hope you enjoy it as well.

  continue reading

9 jaksoa

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