Experiment Faster. Learn Faster.
PLGOS gives growth teams a structured system to design, run, and analyse product experiments — with results tied directly to activation and revenue metrics.
Experiment Chaos
Experiment Chaos
Growth experiments are tracked in Notion docs, shared in Slack, and analysed in spreadsheets. Learnings get lost.
No Metric Connection
Experiments are marked 'success' or 'failure' without rigorous connection to actual product metrics.
How it works
PLGOS provides a structured experiment framework — hypothesis, target metric, variant setup, and automated result calculation — all connected to live product data.
Hypothesis
Define the experiment, target metric, and expected impact.
Variant Setup
Configure control and variant experiences inside the product.
Run
PLGOS tracks the right users in each cohort and monitors the target metric.
Results
Automated statistical significance calculation and learnings doc generated.
What you get
Other use cases
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