Project
Increasing K-Factor from 0.1-> 0.8
Client
Increasing K-Factor from 0.1-> 0.8
Year
K-factor is important for consumer apps, as it is the benchmark of how reliable users feel the app is to risk their social capital bringing in their circle of friends. After watching users naturally interact and the specific points they were sending invites out, I I mapped every moment in the app where a user might naturally want to share something such as achievements, streaks, moments of surprise. From there it was easy to design invite prompts that felt earned rather than desperate.
We also built a contact scraping flow that surfaced 1st and 2nd network connection people the user would be more likely to actually knew, not just their entire contact list. Smaller additions such as adding social proof to the empty states and surfacing existing user’s friends interactions helped significantly. Ran experiments and interactions over 2-3 months and K-factor went from 0.1 to 0.8.