OperationalCore service moduleEngagement / Landing / Conversion / Economic

Experimentation and Optimization Program

Runs structured hypothesis -> variant -> measurement -> decision loops to improve engagement and conversion.

Primary job

Continuously improve module and page performance with traceable decisions.

What This Module Does

Builds an experiment backlog tied to intents and business outcomes.
Generates and evaluates hero/proof/CTA/interaction variants.
Measures impact via stable event instrumentation.
Records keep/rollback/iterate decisions in explicit logs.

Parameters

4 inputs

Inputs that define scope, intent, constraints, and runtime behavior.

hypothesis

Requiredstring

Testable statement for a planned experiment.

Source: bouncebeam-business-os/fundamentals/features/10-experimentation-optimization-program.md

variantSet

Requiredstring[]

Candidate variants being tested against baseline.

Source: bouncebeam-business-os/fundamentals/features/10-experimentation-optimization-program.md

measurementPlan

Requiredobject

Event and threshold definitions for experiment success.

Source: bouncebeam-business-os/fundamentals/features/10-experimentation-optimization-program.md

decisionOwner

Requiredstring

Role responsible for final keep/rollback/iterate decision.

Source: bouncebeam-business-os/fundamentals/features/10-experimentation-optimization-program.md

Buttons (Actions)

3 actions

Discrete actions that trigger module behavior.

Start experiment

Operational

Launches a variant test with measurement hooks.

Source: bouncebeam-business-os/fundamentals/features/10-experimentation-optimization-program.md

Stop experiment

Operational

Ends active run and freezes further variant traffic.

Source: bouncebeam-business-os/fundamentals/features/10-experimentation-optimization-program.md

Decide keep/rollback/iterate

Operational

Commits post-measurement decision into experiment records.

Source: bouncebeam-business-os/fundamentals/features/10-experimentation-optimization-program.md

Levers (Settings and Policies)

4 levers

Persistent controls that tune quality, risk, and throughput.

Experiment capacity

OperationalTier-scoped throughput

How many tests can run with required review/coordination.

Baseline
Higher capacity
Highest standard capacity
Custom

Source: bouncebeam-business-os/fundamentals/features/10-experimentation-optimization-program.md

Variant families

OperationalSelect

Module families included in optimization loops.

Hero
Proof
CTA
Interaction

Source: bouncebeam-business-os/fundamentals/features/10-experimentation-optimization-program.md

Content experiments toggle

ImplementedLocked toggle

System-level experiments remain active by default.

Default: true (locked)

Source: src/lib/generation-controls.ts

Decide gate

OperationalLocked policy

Experiments require an explicit Decide step before adoption.

Default: Required

Source: bouncebeam-business-os/fundamentals/features/10-experimentation-optimization-program.md

Outputs And Telemetry

Outputs

Experiment backlog
Measured variant results
Decision records

Telemetry

view
land
assist_event
convert

Outcome focus

Engagement
Landing
Conversion
Economic

Dependencies And Guardrails

Dependencies

Stable event instrumentation
Decision owner assignment

Guardrails

No adoption without explicit Decide step.
Experiments must remain measurable and quality-gate compliant.

Sources Of Truth

Every claim on this page is tied to one or more repo source files.

bouncebeam-business-os/fundamentals/features/10-experimentation-optimization-program.md

src/lib/generation-controls.ts

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