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. Continue browsing your app after the product tour?.Whether you have your own analytics platform or integrate a third-party tool-like Fullstory, Mixpanel, or Heap-you should look closely at what separates converted users from the pack. Start with patterns in your user analytics data

And once you find a high correlation, you can make calculated adjustments to nudge more users towards those aha-inducing behaviors. You need to make use of the data you already have-in particular, your user analytics and user feedback.īy doing so, you can find out which set of actions or behaviors correlate to that value discovery. It can be hard to pinpoint the exact moment where you get new users to say “aha!” if you don’t have an idea of where to start looking. It also often separates the users who stick around from those who churn. Either way, the aha moment is the switch that turns an evaluating user into an activated user. Sometimes users actively realize this moment, while others experience it more subconsciously. That moment things click-when a user realizes that they can truly benefit from your app-is their aha moment.

They usually have some idea of what this value will be-and if your marketing and messaging are effective, they’ll already understand your core value proposition before even trying your product.

When a user first subscribes to your product, they’re looking to find value in it by solving an immediate need. In the example above, a new user might even experience multiple aha moments as the value of the product really sinks in.

Moments in time