Dianna - thank you again for these incredible videos. The framework here is a little different than the debugging framework in a previous video. I see some overlap but can you call out the key differences? Or when it's best to use which. The other framework had: Understand the product, Break down the metric, Ask for data, Brainstorm hypotheses, Validate hypotheses. Had I followed your other framework, I would have spent a lot of time defining "cancellation", like you did with "engagement" in the prior video. Thanks :)
Yes i came to the same confusion because we might define cancellation by ourselves first between two user sides or ask the interviewer where the cancellation is coming from. Which one you think should be better?
Great video! One question - why did you not clarify at the beginning where the cancellations come from? You said that it can be either before the match or after the match. If you would ask this, would you not already go faster to drill down in the hypothesis section.
Disagree with 2nd hypothesis, if people would go and check lyft.. they would do it before booking as well right, why would most of them do it afterwards?
Agree, they’d mostly do it before. But there have been times I’ve found myself having booked an Uber urgently to lock in prices and then checking Lyft prices right after to see if I’d get a better price
When talking about the hypothesis and solutions, cann't we do prioritisation of solutions instead...as we can directly measure based on efforts and impact..do rectify me if my thinking is not correct... thanks
Dianna - thank you again for these incredible videos. The framework here is a little different than the debugging framework in a previous video. I see some overlap but can you call out the key differences? Or when it's best to use which. The other framework had: Understand the product, Break down the metric, Ask for data, Brainstorm hypotheses, Validate hypotheses. Had I followed your other framework, I would have spent a lot of time defining "cancellation", like you did with "engagement" in the prior video. Thanks :)
Yes i came to the same confusion because we might define cancellation by ourselves first between two user sides or ask the interviewer where the cancellation is coming from. Which one you think should be better?
This is the best framework I've ever come across!!
Great video! One question - why did you not clarify at the beginning where the cancellations come from? You said that it can be either before the match or after the match. If you would ask this, would you not already go faster to drill down in the hypothesis section.
Thanks Diana for this incredible video.Your content is really awesome 👍
thanks a lot for the videos. It is always of the best quality on the internet.
Incredible! This is really helpful. Keep 'em coming.
One of the best and most clear videos I have seen. @dianna yau: Thank you!
Wonderfully explained!!
Disagree with 2nd hypothesis, if people would go and check lyft.. they would do it before booking as well right, why would most of them do it afterwards?
Agree, they’d mostly do it before. But there have been times I’ve found myself having booked an Uber urgently to lock in prices and then checking Lyft prices right after to see if I’d get a better price
Though Diana puts her linkedin in the video - she never accepts requests!
Some time back you promised a video on "Should TH-cam buy Netflix". Still Waiting for it :)
There’s a “Should Amazon enter the smartphone market” coming up soon!
@@diannayau thanks. Eagerly waiting for it.
When talking about the hypothesis and solutions, cann't we do prioritisation of solutions instead...as we can directly measure based on efforts and impact..do rectify me if my thinking is not correct... thanks
Thank you for making great videos