I like the lecture format better. Bc the lecture covers the treatment of the whole issue which comes from the best authority, not random questions coming from unknown person which dilutes the key issues.
This is a fascinating mix of intimate knowledge and guy guessing. If you want to continue down this track, you should look up people such as Dave Snowden (of Cynefin fame), JP Castlin, Rory Sutherland, and Byron Sharp.
It would’ve been nice to know the overall data for the sports app example. If their actions prompted this one customer to make the switch to another sports app, what was the overall performance or reaction to that decision?
First of all, I want to say that I'm reading "Playing to win", and I'm liking it so far. I didn't know much about Roger's work, so I looked for audio/podcast content like this to see what his position was in an interview-like environment. I'm about 40 minutes in, and I have to say that his position on data is mostly flawed, and I would as far as saying that it may hinder how I see his work. You 100% need to make decisions based on data, but he fails to make a distinction (not sure if on purpose or not) between qualitative and quantitative data. First and foremost, you cannot build a strategy without identifying a latent customer problem, be it something that is already addressed or not. Also, he fails to understand that you can test things quite fast with landing pages, video content, fake door tests, etc. to validate customer intent, at least for digital products. I'm unsure how he can write what seems to be a good book (I haven't read the rest of his work) without understanding how you validate a customer problem, and then how you create a strategy to _win in the playing field of your choosing_ as he says.
I really enjoyed this and the other one on strategy. I was fixated on content related to product market fit but this strategy stuff seems more practical and easier to nail down.
I don’t think they are mutually exclusive. PMF is about validating a customer problem and then solving it. Strategy is about how you are going to win solving that problem. One thing is true, no amount of strategy will help you win solving a problem that’s not there.
❤ straight forward ... It s just a dumm idea / model. 😂 Just because something is customly accepted, doesn t mean it s good... Do you know the turkey and oven story ...😊 You only need to look at the state of the world
Dove changed their body wash packaging and I cut myself while flipping up a now-sharp cap. They should have thought a bit longer and harder about changing their packaging. "My" Dove was gone. Don't fix what isn't broken.
Anyone on POD cast is free and the legislative restrictions on their intellectual rights have been expired. ( in some cases 100 years ) so today anyone wasting time listening to this is actually hearing something dating back to 100 years.
I like the lecture format better. Bc the lecture covers the treatment of the whole issue which comes from the best authority, not random questions coming from unknown person which dilutes the key issues.
This is a fascinating mix of intimate knowledge and guy guessing. If you want to continue down this track, you should look up people such as Dave Snowden (of Cynefin fame), JP Castlin, Rory Sutherland, and Byron Sharp.
It would’ve been nice to know the overall data for the sports app example. If their actions prompted this one customer to make the switch to another sports app, what was the overall performance or reaction to that decision?
Thank you. Your conversations with Roger have been enlightening.
Thanks for the feedback! Glad you liked it!
Thank you for doing these!
Incredibly insightful!
Absolutely brilliant 👏
What an AWESOME episode 🎉
First of all, I want to say that I'm reading "Playing to win", and I'm liking it so far. I didn't know much about Roger's work, so I looked for audio/podcast content like this to see what his position was in an interview-like environment. I'm about 40 minutes in, and I have to say that his position on data is mostly flawed, and I would as far as saying that it may hinder how I see his work.
You 100% need to make decisions based on data, but he fails to make a distinction (not sure if on purpose or not) between qualitative and quantitative data. First and foremost, you cannot build a strategy without identifying a latent customer problem, be it something that is already addressed or not. Also, he fails to understand that you can test things quite fast with landing pages, video content, fake door tests, etc. to validate customer intent, at least for digital products.
I'm unsure how he can write what seems to be a good book (I haven't read the rest of his work) without understanding how you validate a customer problem, and then how you create a strategy to _win in the playing field of your choosing_ as he says.
I really enjoyed this and the other one on strategy. I was fixated on content related to product market fit but this strategy stuff seems more practical and easier to nail down.
I don’t think they are mutually exclusive. PMF is about validating a customer problem and then solving it. Strategy is about how you are going to win solving that problem. One thing is true, no amount of strategy will help you win solving a problem that’s not there.
Very interesting take on data analytics and innovation. Great video once again. Cheers
Logo Brand name doesn't change but the motto and vision can be change
awesome
Minute 26, the budweiser wisdom
❤ straight forward ...
It s just a dumm idea / model. 😂
Just because something is customly accepted, doesn t mean it s good...
Do you know the turkey and oven story ...😊
You only need to look at the state of the world
Dove changed their body wash packaging and I cut myself while flipping up a now-sharp cap. They should have thought a bit longer and harder about changing their packaging. "My" Dove was gone. Don't fix what isn't broken.
Anyone on POD cast is free and the legislative restrictions on their intellectual rights have been expired. ( in some cases 100 years ) so today anyone wasting time listening to this is actually hearing something dating back to 100 years.