Reduce waiting queue at supermarket from Corona with Python-Webapp

Chris Angelico rosuav at gmail.com
Mon Mar 16 16:31:09 EDT 2020


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.

ChrisA


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