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Mona Truong

13d ago

Our most engaged users weren't our best users. They were our most anxious ones.

For months, we celebrated our power users at Murror the ones journaling every day, sometimes multiple times a day. They had the highest session times, the most entries, the best retention curves. On paper, they were our success story.

Then we started reading what they were actually writing.

Mona Truong

2d ago

We know what our users are feeling. That's the most dangerous thing about building an AI 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.

Mona Truong

8d ago

We stopped trying to make our AI smarter. Here's why.

Six months ago, our team was obsessed with making Murror's AI more intelligent. Better pattern recognition, deeper emotional analysis, more insightful reflections. Every sprint, we'd ship something that made the AI sound smarter.

And our users started disengaging.

Mona Truong

9d ago

How do you market a product that's designed to be used less?

Here's a marketing problem no one prepares you for: what happens when your product's success means people stop using it?

At Murror, our best outcome is when someone works through what's been weighing on them and doesn't need to come back for a while. They journal, they process, they gain clarity and then they go live their life. That's the whole point.

Mona Truong

6d ago

We shipped a feature that does nothing. It's our highest-rated one.

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.

Mona Truong

4d ago

We gave users a button to erase everything their AI knows. Our retention went up.

Three months ago, we added the most terrifying feature in Murror's history: a single button that lets users permanently delete every insight, pattern, and memory their AI companion has built about them. Months of emotional context, journaling patterns, relationship dynamics -- gone in one tap.

Our investors thought we were insane. Our product team debated it for weeks. The data team warned us we'd lose our most valuable asset: the personalization layer that makes Murror's reflections feel meaningful over time.

Mona Truong

2mo ago

The biggest lie in product building: "ship fast, learn later"

Everyone tells you to ship fast. Move fast and break things. Get to market before someone else does.

I believed this for a long time. When we were building Murror, speed was everything. We pushed features weekly, sometimes daily. We celebrated every deploy like a small victory.

Mona Truong

2mo ago

The feature that almost killed our product was the one users asked for the most

For months, our most requested feature at Murror was a chat function. Users wanted to talk to the AI the way they talk to a friend. It seemed obvious. Every competitor had it. Every feedback form mentioned it.

So we built it.

Mona Truong

3mo ago

The one marketing lesson I learned from building an AI product that no one talks about

When we started building Murror, I made the same mistake most AI founders make: I marketed the technology.

"Powered by AI." "Smart algorithms." "Personalized insights." All the buzzwords. And you know what happened? Crickets.

Mona Truong

2mo ago

The hardest design problem in AI: helping users need you less

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.

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