Statistical Significance & Getting Data You Can Trust

What is statistical significance and why is it so critical to the success of experiments? What are some things that you can do to ensure that you're collecting reliable, true data? In this episode, we break down statistical significance and quality data collection. Plus, an update on the LinkedIn Dark Patterns from our first episode! "Ultimately, you want to be able to confidently say, 'when we do other experiments, this conclusion that we came to is going to stay the same'. Because you don't want to have to keep going back and testing the same assumptions over and over again." — Geoff at 20:47 Email us: Hello@UXandGrowth.com Austin on Twitter: Twitter.com/ustinKnight Geoff on Twitter: Twitter.com/dailydaigle Matt on Twitter: Twitter.com/mattrheault

Om Podcasten

Stories, debates and advice. Austin Knight, a designer at Google (formerly HubSpot), sits down with friends from around the world to discuss User Experience and Growth tactics. This show is entirely non-profit and independent, to ensure that the content is always of the highest quality. It does not have ads, is not associated with any business or organization, and does not accept donations. It is privately funded by the host. To learn more, visit us at www.austinknight.com/podcast