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Decision-Grade Data: measure the right things before you collect them.

Most companies collect data for where they've been, then find they never captured what the next decision needs — and you can't backfill data you didn't collect. We design what you should be measuring now for where you're going: the decisions, the hypotheses, the experiments, the instrumentation — so the data you collect becomes decision-grade, not vanity.

Start with the free Data Bottleneck Snapshot — see where your data work bottlenecks before you spend anything.

Start with the free SnapshotTalk to us

Why now

You can't backfill data you didn't collect.

The baseline you need to prove an effect, the clean comparison group, the outcome measured at the right grain — those only exist if you started capturing them beforethe change. Data designed now for where you're going becomes a uniquely valuable, decision-linked, time-series asset that a competitor reacting later simply cannot reconstruct. The deliverable ships and is paid for now; the data compounds as you collect it.

How it works

Research-grade design, applied to your data

1

Forward baseline audit

We start from the free Data Bottleneck Snapshot and extend it forward: for where you're going, what data are you not capturing yet? You can't backfill it — so the gap is the work.

2

Decisions → hypotheses → kill criteria

We map the future decisions your direction forces, the data each one needs, and the testable hypothesis — committing to the result that confirms it and the result that stops it, before any data is collected.

3

Causal + powered design

A/B, staged rollouts, holdouts, quasi-experiments — chosen from your real constraints — and sized so you collect enough to detect the effects that matter, not vanity volume.

4

Pre-register + validate

Each design is frozen into a dated, hashed pre-registration, and every downstream claim is independently validated. A dated, defensible record — not a promise.

What you get

Decision-grade, and provably so

A decision map

Every data stream traced to the future decision it serves and the threshold that should trigger action — so nothing you collect is vanity.

A pre-registration record

Your hypotheses, designs, and kill criteria frozen into a dated, hashed, write-once record. Anyone can verify it wasn't edited after the result came in — that is the accountability.

Measurement & experiment design

The causal design and the sample sizing (power analysis) for each hypothesis, plus the instrumentation and schema to capture the right data at the right grain.

Validated analysis (optional)

As the data matures, the agent fleet tests the pre-registered hypotheses and delivers decision memos — every claim independently checked before it reaches you.

Why us

Rigour is table stakes. Accountability is the difference.

A record you can stand on

Anyone can run a power calculation. The difference is a signed, dated, hashed record of exactly what you committed to measure — and why — frozen before the data came in. When a board, a partner, a regulator, or a journal asks “did you decide this in advance?”, you can prove it. A free model can give you a number; it can't stand behind one.

Research-grade, at fleet margin

The design, sizing, pre-registration, and validation run on our autonomous agent fleet, with our team in the loop for the judgment. So you get research-grade measurement design without a big-consultancy price — we don't sell you agents, we are your agents.

How it's scoped

Start free. Pay for present-tense value.

Free Snapshot

The Data Bottleneck Snapshot is free — the no-commitment place to see where your data work bottlenecks and how we'd unblock it.

The design engagement

Scoped to your decisions and priced once, up front. The finished, validated design — decision map, pre-registration, experiment design — ships now; nobody buys a deferred forecast on faith.

Optional analysis

As the data matures, an optional retainer tests the pre-registered hypotheses and delivers validated decision memos — metered per analysis cycle, not per month of waiting.

Scope and price are agreed before any work begins, in writing, alongside the full terms at services terms.

The fine print, in plain English

Operational, not advice

We design measurement for operational and process decisions — never markets, returns, or capital allocation. We design and validate; we do not provide financial or investment advice.

You own the output

The decision map, the pre-registration record, and your data are yours, assigned on delivery. We keep our methodology and tooling as our own background material.

Pre-registered, in writing

Hypotheses and kill criteria are frozen and dated before collection. A hypothesis coming back false is a valid result, not a miss — that's the point of testing.

Design your forward data

Tell us where you're going and the decisions that matter. We reply within two business days with what you'd need to start measuring and how we'd scope it. Not sure yet? The free Snapshot is the no-commitment place to start.

Who you'll work with

CO

Charles O'Connor

Founder & Chief Executive Officer

“Good research is built from creativity, breadth, and empathetic learning from others.”
Meet the team→

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