Maya Elor

But it will raise the bar on what good decision-making even means.

Faster insights will stop being impressive - they ll become expected.
Broader analysis won t be a differentiator - it ll be table stakes.
Deeper visibility won t be optional - it ll be assumed.

And once that happens, a lot of traditional discovery work will start to feel outdated. Not because it was wrong, but because it was designed for a world where you could afford to be slow, partial, and reactive. That world is gone.

We ve all been there: the engineering team ships an incredible feature, the marketing team blasts the launch, the metrics show a temporary spike in usage-and then... nothing. Silence. The feature slowly turns into product debt, and the actual value delivered to the user drops to zero.

As builders, we are constantly obsessed with shipping. We measure velocity, sprint completions, and launch dates. But somewhere along the way, we forgot to measure whether the things we build actually move the needle for our users bottom line.

We try to estimate impact and we try to assess effort.

But most evaluations happen with:
Limited data
No real validation
Weak assumptions