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control room

Not ten dashboards.

One place.

Forty surfaces produce forty trickles of data that nobody reads. The control room is where signal becomes queryable: which surfaces use a given capability, which have drifted on the primary token, which are losing ground. It's the technical precondition for any governance at scale.

what you see

Six readings, one source

Each panel answers a question that stops being answerable by eye at forty surfaces.

KPIs by surface

Conversion, churn, acquisition and retention per surface — read against intent, not in isolation. A number without the decision it belongs to is trivia.

Pains & gains over time

What's working in blue, what's hurting in red, plotted over time with product events anchored to the curve. You see the release and the movement in the same frame.

Recommendations with estimated impact

The next move, with an estimated impact attached before you commit. The layer narrows the field; the call stays yours.

Running experiments

Which hypotheses are live, on which surfaces, and what they've earned so far. A variant is an alternative value on a declared property — not a fork of the project.

Identity drift

Where surfaces have diverged from the source, and whether each divergence is a declared override or silent drift. Drift is the only thing that compounds without effort.

Compliance

Accessibility and consent status per surface, emitted alongside the surface rather than audited after the fact. WCAG 2.1 AA and GDPR are outputs, not projects.

why it works here and not elsewhere

The reason the data is readable

is that the surface was born instrumented.

A dashboard wired to independently generated surfaces can only aggregate numbers that don't speak to each other. In Ekitai a touchpoint is a declared object — manifest, sections, atoms, capabilities — so data arrives already correlated to the structure that produced it. You can trace from a metric that moved to the block that moved it, and from there to the source you need to change.