This is really cool, but it feels like you're making users do a lot of work to elicit their preferences.
Do you think if you asked them to rate each input factor directly, they would be less honest, or some of their implicit preferences wouldn't get surfaced properly, or something?
Thanks! Yeah, my feedback from initial testers is that they found it less interesting to enter their preferences directly. I think it's easy to know what you like, but harder to weight them directly (e.g. Is "Great restaurants" more important to me than "Walkability"?). So I switched the default to the quiz that will figure weights out for you, but left the option to rate directly if you prefer that. Just click the "skip quiz" button on the welcome screen.
edit: very odd results, almost all top 10 results are California despite being slightly against Liberal and slightly for Conservatives and it's one of the last places in US I would move especially based on last two years
At the same time, it forces you to make tradeoffs: Cold winter and good restaurants vs MOR politics and walkability. IE, how do I make this decision, doesn't make upfront sense, but I have to. Classic case of "you don't get what you want, but you do get to reject what you don't want".
We (me + SO) recently went on the city-shopping game, the questions here seemed very much the same as the ones we found ourselves confronting.
The questions at the end seemed to be converging on this.
Be nice to (a) give the top ten, not just the top, and (b) for the questionnaire-ee (is that a word) specify upfront "Only in $jurisdiction" (so , .CAN, .US.CA, .EU.FR, etc). I assume this is a constraint on the underlying data...?
My experience is, you don't have a full range of things to rate, and not a lot of actual choices. You may be constrained geographically. So two alternatives: this is what sticks out: "40% of district is parkland, arts and crafts culture, two expensive ferry rides to any kind of significant shopping" vs "retirement community of newcomers, great local hospital, significant unhoused population"... these are the things that stick out, but no common axis to rate them on.
So the questions one are faced with when "shopping for a home town" often look like the ones this site poses.
Darn, not sure why that's happening for a couple people. I just pushed a fix to at least prevent it from crashing. If you're still curious, it should have saved your results locally before it crashed, so if you reload the page you can see what you would have gotten without retaking the whole thing.
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[ 2.4 ms ] story [ 41.1 ms ] threadDo you think if you asked them to rate each input factor directly, they would be less honest, or some of their implicit preferences wouldn't get surfaced properly, or something?
edit: very odd results, almost all top 10 results are California despite being slightly against Liberal and slightly for Conservatives and it's one of the last places in US I would move especially based on last two years
the problem is categories are not weighed I guess
At the same time, it forces you to make tradeoffs: Cold winter and good restaurants vs MOR politics and walkability. IE, how do I make this decision, doesn't make upfront sense, but I have to. Classic case of "you don't get what you want, but you do get to reject what you don't want".
We (me + SO) recently went on the city-shopping game, the questions here seemed very much the same as the ones we found ourselves confronting.
The questions at the end seemed to be converging on this.
Be nice to (a) give the top ten, not just the top, and (b) for the questionnaire-ee (is that a word) specify upfront "Only in $jurisdiction" (so , .CAN, .US.CA, .EU.FR, etc). I assume this is a constraint on the underlying data...?
My experience is, you don't have a full range of things to rate, and not a lot of actual choices. You may be constrained geographically. So two alternatives: this is what sticks out: "40% of district is parkland, arts and crafts culture, two expensive ferry rides to any kind of significant shopping" vs "retirement community of newcomers, great local hospital, significant unhoused population"... these are the things that stick out, but no common axis to rate them on.
So the questions one are faced with when "shopping for a home town" often look like the ones this site poses.