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8 results for “product testing”
...for most most products and most enterprise teams is you you wanna make sure you're testing this way, like, much more often with with kind of expanding circles. What have been the biggest mistakes you made in user testing or biggest mistakes you see o
36:00 / 37:04
from transcript36:00 – 37:04
...that are testing production level metrics? So AB tests are, again, another form of evals, I imagine. Right? Like, when you're doing an AB test, right, you have two different experimental conditions, and then you have a metric that quantifies the succ
1:16:29 / 1:17:29
from transcript1:16:29 – 1:17:29
...product. We're gonna see if this improves some metric we care about. Is that is that enough? Why do we need to test every little feature? Like, if it's impacting a metric we care about as a business, we have a bunch of AB tests that are just constant
1:17:03 / 1:18:16
from transcript1:17:03 – 1:18:16
...for most most products and most enterprise teams is you you wanna make sure you're testing this way, like, much more often with with kind of expanding circles. What have been the biggest mistakes you made in user testing or biggest mistakes you see o
36:42 / 37:46
from transcript36:42 – 37:46
...product intuition as well. Can they make decisions that are, you know, pulling data insights from all the sources?
31:23 / 32:31
from transcript31:23 – 32:31
...in production. Yeah. Exactly. So this is where Statsig comes in. It brings experimentation, feature flags, and product analytics into one unified system so teams can ship safely, test rigorously, and directly link what they changed to how users actua
2:03:46 / 2:04:55
from transcript2:03:46 – 2:04:55
...product or model is not actually doing the thing it was supposed to do. And the only way you get that is by shipping because you get back the sort of use case distribution and you can make those things good. And therefore, you know, it's actually the
1:13:29 / 1:14:39
from transcript1:13:29 – 1:14:39
...the product. Right? So those are the signals that you want to look at and make sure that your new changes are doing the right thing. And it's extremely hard for us to, you know, think of these kind of scenarios beforehand
42:28 / 43:46
from transcript42:28 – 43:46
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