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OUTBOUND
Pipeline you can plan around
Low volume, high intent, inboxes that actually land.
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Experiment Plan

What gets tested, on whom, in what order, and what result changes course.

[experiment-plan]Leave your work email and Claude writes your version of this skill from your domain, against your ICP, your offers and your market. We send it over when it is built.
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EXAMPLE RUN
[experiment-plan] q1Sizing real test capacity from planned volumeOrdering the queue by the canonical prioritySetting arms and sample size per questionWriting the decision rule for each result4 questions registered for the quarter. 2 more queued behind them.
THE SHORT VERSION

Campaigns usually launch with no question attached, so they run while somebody watches, and six weeks later nobody can say what was learned. A registered question turns watching into an answer.

YOU GIVE ITYour volume plan and the open questions about the motion.
YOU GET BACKA queue of registered questions, each with its arms, its sample size and the decision it will trigger.

Why the order is fixed

Testing happens in a hierarchy whether you acknowledge it or not. A subject line test on a badly targeted list measures nothing about subject lines. An offer test with the wrong buyer measures nothing about the offer. Each level only becomes measurable once the level above it is settled.

So the queue runs list, offer, subject, opener, call to action, timing, length. Most teams start around position three, which is why most outbound testing produces no durable conclusions.

Capacity is the constraint nobody accounts for

A question needs enough sends per arm to separate a real difference from noise. Multiply by the number of arms and you have the cost of one question in volume. Divide your quarterly volume by that and you get the number of questions you can actually answer, which is frequently two or three rather than the dozen on the list.

Deciding which two matter is the real work here, and it is a strategy decision rather than a statistical one.

What a registered question looks like

The question, the arms, who it runs on, how long it runs, the sample it needs, and the specific decision each possible outcome triggers. A question without the last part is an observation, and observations are what teams already have too many of.

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We install it trained on your ICP, your offers and your data. One call to work out whether it is the right one to start with.

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