Latest Posts
The 4 ways Dating Apps seduce with Progressive Onboarding
Those of you who have experienced online dating will know quality connections are not easy to find! When a âsparkâ appears there is usually a flurry of messages, one more intimate than the last, as each person progressively disclosures a little bit more about themselves. Some people know the art of progressive disclosure so well, →
The Harry Potter Guide to Onboarding Segmentation
Hogwarts divided their students into four houses: Gryffindor, Hufflepuff, Ravenclaw and Slytherin. These wonderful scenes in the first book and movie were filled with tension because of the angst of Harry avoiding Slytherin and the all-important cementing of the relationships Even as an adult if you’ve been to Universal Studio’s Harry Potter rides, you can’t →
Onboarding A/B Tests – the math by example
In the previous post I ran through why it makes sense to run onboarding experiments and measuring them under an A/B or A/A/B methodology. I stuck to the qualitative principles and didn’t get âinto the weedsâ of the math. However, I promised to follow up with an explanation of statistical significance for the geek minded. →
Mobile Onboarding A/B testing simply explained
In earlier posts about Googleâs and Twitterâs onboarding tips we mentioned they would absolutely be measuring the impact of Tips and Tours to get the maximum uplift of user understanding and engagement. One method is just by simply looking at your analytics and checking the click-thru rate or whatever other CTA (call-to-action) outcome you desired. →
Twitter’s Tip-driven feature discovery
On-boarding and Feature Discovery I’ve been on Twitter since 2008 but recently I exercised the nuclear option on my phone (243 apps installed is an occupational hazard) and Twitter got blown away with everything else. I hadn’t miss Twitter’s incessant neediness to catch my attention and didn’t reinstall it (or Facebook) for a while but (despite →