Gabriella Hope's profile on Product Hunt

About

Exploring data, analytics, and the tools shaping how we understand information. I’m interested in turning data into insights, learning new technologies, and discovering products that make work smarter and more efficient. Always curious about AI, startups, and ideas that solve real-world problems.

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p/murror

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5d ago

What's the smallest signal that told you your product was actually working?

Dashboards are loud. The signals that matter are usually quiet, and I'd like to collect yours.

I've written here before about how our most active users at Murror turned out not to be our happiest ones. That changed how I read numbers. Sessions, streaks and retention curves all measure that people came back. None of them tell you whether coming back was good for them.

Since then I've been more interested in small, quiet signals that are hard to put on a chart. Things like a user who stops using your product because they no longer need it. Someone who writes in to correct a detail, which means they read closely. A person who recommends it with a caveat, because they're being honest about who it is and isn't for.

My own rule of thumb is that a signal is worth trusting when it would still look good if you were wrong about your product. A big engagement number can rise because people love something, or because it nags them. A quiet signal like "they told a friend, unprompted" is harder to fake, even by accident.