We removed our AI's best feature. Engagement doubled.
When we first built Murror, our AI would automatically surface emotional patterns after every journal entry. "You've mentioned feeling anxious about work 4 times this week." "Your mood tends to dip on Sunday evenings."
Users loved it in demos. They called it "impressive" and "insightful." Our internal metrics looked great -- pattern detection accuracy was 87%.
But something was off. People were journaling less over time, not more. After two weeks, entries got shorter. After a month, many users stopped entirely.
We ran exit interviews. The answer surprised us: people felt watched.
One user said, "I started filtering what I wrote because I knew the AI would analyze it." Another said, "It felt like journaling for a therapist who's always grading you."
The feature we were proudest of was making people less honest with themselves.
So we did something that felt radical -- we made all AI insights opt-in. No automatic summaries. No unsolicited pattern detection. Instead, we added a simple prompt users could tap when they were ready: "Want to see what your entries might be telling you?"
The results:
Journal entry length increased 2.3x
- Daily active journaling went up 41%
- The users who DID tap for insights engaged with them 3x longer
The lesson we keep relearning: in emotional products, trust beats intelligence. The best AI is the one that waits to be invited.
We see this pattern everywhere in our product now. Every time we push information at users, engagement drops. Every time we let them pull it when they're ready, it goes up.
Has anyone else found that making AI less visible actually made it more valuable?
Replies
this tracks with something I've noticed in my own note-taking apps - the moment software starts summarizing me back to myself, I start performing for it instead of using it. curious whether the opt-in prompt itself ever starts to feel like pressure over time, like users start associating tapping it with "time to be evaluated" even though nothing pushed it on them. or does the fact that they chose to tap it change the psychology enough that it doesn't recreate the same watched feeling?
What you measured has a name in the privacy world: the chilling effect — people behave differently (write less, censor more) when they feel observed. It's usually discussed around surveillance; you've produced a beautifully clean product-level measurement of it: entries 2.3x longer the moment observation became opt-in.
The elegant part: you accidentally rediscovered privacy-by-design from the product side. "Don't analyze by default — let the user invite the analysis" is what regulators call data minimization, but your numbers show it's not a compliance tax, it's an engagement feature. For an app holding people's emotional interior, those two things converging is exactly right: the user's sense of a private space IS the product.
@monatruong_murror It's not just with AI, but in general as well. A feature can look cool but if it doesnt create the hook, retentioncool,l be poor.
In 2016, we redesigned missingkids.org. I suggested that we add a missing kids' live counter front and center on the landing page that reflects kids missing in that state. It felt emotional initially, leading up to 120% donations. But during usability tests, we saw that it created more anxiety. Hence, we decided to drop it.