Product

Data Landscape Canvas

Four quadrants — owned, earned, paid, public data — rated by availability, to check a data product has data.

What it is

A Data Product box sits in the center, carried over from a prior idea-generation step. Four quadrants around it — Owned Data, Earned Data, Paid Data, Public Data — get populated with every plausible source, then each source is color-coded against a legend: available, has issues, gap, desired, or assumption, with link lines drawn from strong sources back to the center.

Reach for it when

• A data or AI product idea exists on paper, but nobody has checked whether the data behind it actually exists.
• Engineering effort is about to get committed before anyone has rated the real availability of the source data.
• A pitch for a data product doesn't distinguish data that's already owned from data that's still a hopeful assumption.

Running it

1. Restate the data product idea in the center box.
2. Work through each quadrant — Owned, Earned, Paid, Public — listing every plausible data source.
3. Color-code each source against the legend: available, has issues, gap, desired, or assumption.
4. Draw link lines from strong sources to the center box, and flag red 'gap' sources as risks needing a follow-up plan.