Reduce waiting queue at supermarket from Corona with Python-Webapp

[Orges Leka]

Am Mo., 16. März 2020 um 21:33 Uhr schrieb Chris Angelico <rosuav at gmail.com
>:

> On Tue, Mar 17, 2020 at 7:21 AM Orges Leka <orges.leka at gmail.com> wrote:
> > For the getting enough people to use it, I think word-of-mouth should
> work,
> > as it would help those who use it, plus it reduces the chance of physical
> > contact, so there is a win-win situation in using the app.
> >
> > Maybe if someone from the media promotes the app, this should boost it
> also.
>
> In order to be usefully able to predict how many people will be at a
> location, you'd need an appreciable proportion of them to be using
> your app. Let's say you accept a 5% saturation (which is pretty low -
> if only 5% of people use the app, there's still a LOT of uncertainty
> in the estimated figures). Do you think you'll be able to get to the
> point of having 5% of *all shoppers* in an area to start using your
> app? That is a HUGE number of people to start using an app, and even
> then, it would only give a low degree of confidence.
>
> To the early adopters, your app is close to useless. That means word
> of mouth isn't going to be very strong. It's something that depends
> entirely on already having lots of users.
>
>
Following your reasoning, then radar detection apps / wikipedia / facebook,
which crucially depend on user generated content should not work....



> ChrisA
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>


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