CRO professionals

The discipline is not the bottleneck. The throughput is.

You already know how to write a hypothesis and how to read a result. What does not scale is producing enough good hypotheses to keep a roadmap full, and keeping what you learned somewhere it survives a handover. That is the part this does.

What generation actually looks like

Each theme arrives with the reasoning attached, so you can reject it on the argument rather than on the wording.

Example · a checkout step with a known drop-off

Theme 01 · Cost transparency

Surfacing the full total earlier will reduce abandonment more than reassurance about security, because the drop-off clusters at the step where shipping first appears.

Total with shipping, before you enter anything.
No surprises at the last step. Here is the full number.

Theme 02 · Progress commitment

Showing how little is left will hold more people than removing a field, because the sunk cost of the steps already completed is the strongest lever available at this point.

One step left. Payment, then done.
You are almost through. Two fields to go.

Two arguments for the same thing, each written more than one way. What gets tested is which argument lands, not which sentence reads better.

The parts you will want to interrogate

The things a practitioner checks before trusting a tool, stated plainly.

How a winner is called: A Bayesian posterior past 0.975, the same verdict on two consecutive reads, and enough data in each arm that a lucky handful cannot decide it. All three, or the test keeps running.
Guardrail metrics: Name a goal that must not suffer and a variation that lifts the primary while costing it is blocked rather than shipped. After promotion a holdback slice keeps seeing the control, so a win that reverses is caught rather than assumed.
The belief ledger: Every result is filed against the idea it tested, with the evidence attached, at one of six statuses: untested, promising, proven, disproven, exhausted, backfired. A tie is recorded rather than discarded, and beliefs are matched by meaning, so renaming a dead idea does not revive it.
Signal isolation: Each hypothesis is expressed as several variations with different phrasing, and execution patterns are tracked separately from the idea. A win across phrasings is the argument; a win in one is a good sentence.

Try it on your own site

Paste a URL and A/Bee hands back its first hypotheses for that page. Free, and no signup.

See what it would test

How does the loop actually run?