Mihri Minaz
👤 PersonAppearances Over Time
Podcast Appearances
be needed that if people really used it daily or not so our versioning was very important for us because when we wanted people to update we did not want them to keep using an older version so from the first release you need to have some fundamentals and that's how we went about it and then
be needed that if people really used it daily or not so our versioning was very important for us because when we wanted people to update we did not want them to keep using an older version so from the first release you need to have some fundamentals and that's how we went about it and then
In every feature, how we kept this mindset is, okay, just release the fundamental with tracking whatever you need to track to make further decisions on it. And then you should always make it better. So it should never look crappy. Like our app looks amazing now. And we get this like comment a lot that, oh, it looks really beautiful. Is it too beautiful?
In every feature, how we kept this mindset is, okay, just release the fundamental with tracking whatever you need to track to make further decisions on it. And then you should always make it better. So it should never look crappy. Like our app looks amazing now. And we get this like comment a lot that, oh, it looks really beautiful. Is it too beautiful?
In every feature, how we kept this mindset is, okay, just release the fundamental with tracking whatever you need to track to make further decisions on it. And then you should always make it better. So it should never look crappy. Like our app looks amazing now. And we get this like comment a lot that, oh, it looks really beautiful. Is it too beautiful?
But it was not beautiful when we released it first. We focused on the right thing. But there is no excuse of keeping it ugly as well. Of course, first you do the experiment, you learn very early. But then when you iterate on it, you can do the nice looking or more solid version of it. So this is how we kept it always.
But it was not beautiful when we released it first. We focused on the right thing. But there is no excuse of keeping it ugly as well. Of course, first you do the experiment, you learn very early. But then when you iterate on it, you can do the nice looking or more solid version of it. So this is how we kept it always.
But it was not beautiful when we released it first. We focused on the right thing. But there is no excuse of keeping it ugly as well. Of course, first you do the experiment, you learn very early. But then when you iterate on it, you can do the nice looking or more solid version of it. So this is how we kept it always.
It's a combination of multiple things. As I said, like we have tracking, we have a informed data there that like people are, how are they using the application? So that tells us a lot. And we could still think about, okay, people don't use this feature, but is it because we build it in not the best way, let's say, or is it because it's not needed?
It's a combination of multiple things. As I said, like we have tracking, we have a informed data there that like people are, how are they using the application? So that tells us a lot. And we could still think about, okay, people don't use this feature, but is it because we build it in not the best way, let's say, or is it because it's not needed?
It's a combination of multiple things. As I said, like we have tracking, we have a informed data there that like people are, how are they using the application? So that tells us a lot. And we could still think about, okay, people don't use this feature, but is it because we build it in not the best way, let's say, or is it because it's not needed?
So then the first data you have is this usage data. But then, of course, we talk to users all the time. That was crazy, by the way. We onboarded 300 people with video calls. So during onboarding, we also asked questions. We observed how they are using it. Maybe like we have a button there, they should click it, but they don't click it.
So then the first data you have is this usage data. But then, of course, we talk to users all the time. That was crazy, by the way. We onboarded 300 people with video calls. So during onboarding, we also asked questions. We observed how they are using it. Maybe like we have a button there, they should click it, but they don't click it.
So then the first data you have is this usage data. But then, of course, we talk to users all the time. That was crazy, by the way. We onboarded 300 people with video calls. So during onboarding, we also asked questions. We observed how they are using it. Maybe like we have a button there, they should click it, but they don't click it.
We try to understand what is missing in this flow or how people are perceiving things that we thought would be perceived in a different way. So these are like combinations, like you really have lots of qualitative and quantitative data for the existing product. And then you can iterate from that. We have a public web page. On our landing page, we have something called feature request.
We try to understand what is missing in this flow or how people are perceiving things that we thought would be perceived in a different way. So these are like combinations, like you really have lots of qualitative and quantitative data for the existing product. And then you can iterate from that. We have a public web page. On our landing page, we have something called feature request.
We try to understand what is missing in this flow or how people are perceiving things that we thought would be perceived in a different way. So these are like combinations, like you really have lots of qualitative and quantitative data for the existing product. And then you can iterate from that. We have a public web page. On our landing page, we have something called feature request.
And then anyone can request a new iteration or like an integration or a feature. And then people can also upload. So that's a great way to also collect further requests that does not even exist in your application. There, the best thing is that, for instance, we only have a Mac app now. We don't have a Windows app or iOS app, but we already have a couple of hundred users.
And then anyone can request a new iteration or like an integration or a feature. And then people can also upload. So that's a great way to also collect further requests that does not even exist in your application. There, the best thing is that, for instance, we only have a Mac app now. We don't have a Windows app or iOS app, but we already have a couple of hundred users.
And then anyone can request a new iteration or like an integration or a feature. And then people can also upload. So that's a great way to also collect further requests that does not even exist in your application. There, the best thing is that, for instance, we only have a Mac app now. We don't have a Windows app or iOS app, but we already have a couple of hundred users.