Talking to humans on phones will give you supplementary information that sheer numbers can’t provide. Would you be willing to have a brief 10-minute conversation about what got you excited about Westeros Solutions in the first place? Your feedback will help us create a better app experience for users like you. Reach out with a personal email to kickstart the discussion: Hey Tywin, Thanks for using Winterfell! We're so happy to see you using all our features and would love to show other customers how they can have a similar, awesome, and complete product experience. Talking to users provides you with insight and context that’ll help you better understand the motivation behind their actions. So instead of pushing users toward these two features, you can guide them through scheduling their first all-hands. But when you actually speak to users, you learn that easy team scheduling is the biggest benefit for them. If the numbers have shown that there is a correlation between specific behaviors and retention, users can tell you why.įor example, your data might indicate that users who stick around usually use both your messaging and calendar feature. Reach out to top users for qualitative feedback to supplement and contextualize what you've already learned from the data. Confirm or adjust your hypothesis with further investigation. If you're in the early stages of your startup, you likely don't have a big enough user base to jump to conclusions based on raw data alone. Most retained users AND just a few churned users = correlationĪ correlation between behavior and retention is your first clue that you're on the right track, but it isn't everything.Just a few retained users AND just a few churned users = no correlation.Most retained users AND most churned users = no correlation.You're looking for a set of behaviors exhibited by users who stay and not behaviors exhibited by users who leave. Put together a list of 10 to 20 behaviors (or a combination of behaviors) that correlate to retained users.
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