Been trying to implement Google’s HEART framework for our app but struggling to connect the dots between what users actually feel and what our analytics show.
Anyone successfully used this to bridge the gap between product metrics and real user satisfaction?
Had this exact problem with a dating app. Game changer was tracking sequential actions, not just single events.
We’d measure profile completion AND first message sent within 24 hours. That combo gave us way better insights into user satisfaction than looking at each piece separately.
Mapping each HEART metric to specific journey stages helped too - don’t try tracking everything at once. We used task success for onboarding, adoption for core features, retention for long-term satisfaction.
Pick metrics that actually move together when users are happy. That’s what matters.
Don’t measure what people do - measure what they achieve. Pick metrics that actually matter to your business. Track how many users adopt your key features, not just downloads or opens. See if people complete the flows that make you money. Day 7 and 30 retention rates tell you way more about user happiness than star ratings ever will. Grab one solid metric from each HEART category that links user value to real business results.
Just track what users say directly. Saves time.
Focus on metrics that reflect real user feelings instead of just surface level numbers.
For example, I look at retention and engagement because they indicate whether users find the app valuable. It’s more effective to measure task success rates than just downloads or sessions when assessing satisfaction.
Begin with one or two HEART metrics that connect directly to key user actions.
We track happiness through app store ratings and support tickets. Way easier than complex surveys.