Most software wants you to come back every day. The business model depends on it. More sessions, more engagement, more opportunities to monetize.
But what happens when your product's purpose is to help someone understand themselves better? At Murror, we've been wrestling with a paradox: if we do our job well, users should eventually need us less not more.
For the first year of building Murror, we optimized for the same metrics every other app optimizes for: daily active users, session length, screens per visit. The dashboard looked healthy. Usage was growing. We felt good about it.
But something was off. Our most engaged users were not our happiest users. People who spent the most time in the app were often the ones who left the harshest feedback. Meanwhile, users who opened the app twice a week for five minutes were writing us emails about how it changed how they handle difficult conversations.
Last quarter, we built a feature at Murror that our engineering team jokingly called "the empty room." After a user finishes a journal entry, the AI doesn't immediately respond. It waits. For 30 seconds, the screen shows nothing but the user's own words and a gentle prompt: "Sit with what you just wrote."
No analysis. No reframe. No pattern recognition. Just silence.
When we first built Murror's reflection AI, we optimized for insight. Every journal entry got a thoughtful, confident analysis. Pattern recognition, emotional connections, suggestions for growth.
After our first launch on Product Hunt, our team spent a little over a month upgrading the product. There were major changes to the UI and several new features added, so the process took time from discussions and redesigning the interface to testing, fixing bugs, and updating AI prompts.
We re also a very small team, so everyone had to push themselves to give 200%. Time and resources are limited, and at the same time, we also had to work on securing funding for the next six months to keep the team running and continue developing the app.
Last quarter, our team spent three weeks building a feature that does... nothing.
When a user writes something deeply painful in their journal grief, heartbreak, feeling lost Murror's AI used to respond immediately. Empathetic words, gentle reflections, suggested reframes. Users loved it in surveys. Our response quality scores were excellent.
Every investor deck we've ever seen says the same thing: grow DAU. Daily active users is the north star. If people aren't coming back every day, something's broken.
We believed this too when we started Murror. We built push notifications, streak counters, and gentle nudges. "You haven't journaled today." "Your streak is at risk." The standard playbook.
Most product teams track acquisition, activation, retention. The usual funnel. We track all of that at Murror too.
But there's one metric we started paying attention to that changed how we think about growth entirely: how often users talk about themselves differently after using the product.
When someone journals on Murror, our AI doesn't just process text. It reads emotional weight. It picks up on patterns the user might not see yet -- the way their language shifts when they talk about work versus family, the recurring themes they circle back to every few weeks, the gradual change in tone that might signal something deeper.
We built this because it makes the product better. The AI can ask more relevant questions, create more meaningful reflections, and know when to give space versus when to gently prompt.
