Concept demo made by Nexibeo. This product does not exist yet. Co-create it with us
Experiment design assistantGet a free sample

For Growth and product teams testing new features

Pre-registered decision logic with explicit assumptions and measurement limits.

For growth and product teams testing new features, turn business hypothesis, baseline metrics and testing constraints into reviewed experiment design brief.

Start a pilotHow it works

The problem

Experiments begin without clear success and stopping criteria.

What you get

Reviewed experiment design brief.

Business hypothesis, baseline metrics and testing constraints in, reviewed results out. People check what the AI drafts before anything reaches you.

Features

Everything the job needs, nothing it doesn't.

01Clarify proposed mechanism
02Define primary measures
03Specify guardrails
04Document assignment approach
05Flag measurement gaps
06Draft analysis plans

How it works

From your files to approved results.

Assumption-driven planning and decision workspace.

  1. Validate baseline inputs
  2. Confirm definitions and constraints
  3. Select editable assumptions
  4. Calculate feasible alternatives
  5. Inspect sensitivities
  6. Let the responsible person approve a plan

Free sample

A complete experiment specification for one hypothesis.

Test USD 750-3,000 for a scoped planning setup and review, then USD 200-900 monthly for refreshes within agreed complexity. Data integration and optimization are separately scoped. All ranges are hypotheses.

Start a pilot

This is a concept demo. The button goes to Nexibeo, where you can co-create this product.