Diagnose the trend and form a what's-working hypothesis
Reads the rendered numbers and works out what they mean — growth trajectory, which formats drove subscribers, where welcome-sequence drop-off appears — forming a hypothesis about what is or isn't working.
In / outMetrics snapshot + trend chart → diagnosis of growth trajectory, what's working hypothesis, and top one or two levers worth testing
You might say…
“The chart is in front of me and I can see growth slowing but I'm not sure if it's the content mix, the channel, or the opt-in — I need a read before deciding anything.”
What it does
Sits with the rendered numbers and works out what they mean — whether growth is accelerating, flat, or declining, which formats or topics drove the most subscribers and engagement, where drop-off appears in the welcome sequence — and forms a hypothesis about what is or isn't working in the current system. Used as the analytical step between having the data and deciding what to do. Single human-in-loop judgement; inputs are the snapshot and trend view, no deterministic primitive warranted as the read is interpretive.
Trigger: Use as the analytical step between having the data and deciding what to do — after the snapshot and chart are produced.
Recognise the problem?
The primitives are the commodity part. The fastest next step is a conversation about composing them into something that works for you.
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