Continuous optimization

Experiment across experiences, AI behavior, and intelligent decision knobs.

Move beyond basic page testing. Compare content, user journeys, prompts, models, recommendations, and scoring logic against measurable outcomes.

Core capabilities

One experimentation layer across the full AI experience.

OPTIMIZE

Experience tests

Compare page layouts, headlines, calls to action, forms, navigation, and personalized journeys.

OPTIMIZE

Prompt tests

Evaluate prompts, retrieval strategies, instructions, tools, and response formats.

OPTIMIZE

Model tests

Compare models on quality, latency, safety, cost, and task completion.

OPTIMIZE

Knob tests

Adjust feature weights, thresholds, ranking logic, and recommendation variables.

OPTIMIZE

Outcome measurement

Track conversion, engagement, completion, quality, compliance, and operational metrics.

OPTIMIZE

Closed-loop learning

Use winning evidence to improve the next data product, page, assistant, or decision model.

Operating flow

Designed as part of one connected platform.

Each stage is governed, observable, and connected to the same data product and feedback loop.

Hypothesis
01
Variants
02
Exposure
03
Outcomes
04
Learning
05

Enterprise outcomes

Translate technology into measurable business value.

Deploy the capability independently or combine it with the full DataKnobs intelligent experience platform.

Improve conversion and engagement
Reduce AI cost while protecting quality
Validate changes before enterprise rollout
Optimize prompts, models, and ranking logic
Create a measurable intelligence flywheel

Make ABExperiment part of your intelligent experience strategy.

Start with one data-rich use case and connect it to a measurable customer, operational, or compliance outcome.