
Why We Built AI Product Insights
Why We Built AI Product Insights
When Nathan and I started Adora, it began with a vision of the product visibility I longed for during my time leading Product Growth at Canva.
I kept running into the same problem in a hundred different forms: data lived everywhere, but clarity lived nowhere.
I could see pieces of the story in different tools. But I couldn't see a live, end-to-end view of what was actually happening across a journey, for each variation of customer.
The tools were all there: analytics dashboards, session replay, feedback platforms. But they didn't connect. You'd get fragments, not the full picture.
So Adora was born from a simple question:
What if you could see every user journey in your product, end to end, as it actually happens?
We started with journeys
The first thing we built was journey mapping: real, live, end-to-end maps of how users move through your product. Not the kind you sketch on a whiteboard in a workshop. The kind that updates continuously, because it's grounded in what users are actually doing.
In the early days, we spoke to hundreds of product teams. The pain was universal, and it ran deep. Teams didn't just want journey maps, they needed them. They were tired of stitching together five different tools to understand a single flow. They were tired of running workshops to produce maps that were outdated the moment the sticky notes went up.
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