MCP For Claude Marketplace
Test Duration Calculator

Test Duration Calculator MCP Connector for Claude

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Calculate required A/B test duration, sample sizes, and experiment risk levels.

3 tools Official Updated Jun 29, 2026 Official Vinkius Partner
More Details Connect to Claude

The Test Duration Calculator is a specialized tool for researchers to determine the necessary length of A/B experiments. By using calculate_sample_size, you can find the required number of users per variant based on your baseline conversion rate and MDE. The estimate_timeline tool then converts these sample requirements into days and recommended full weeks to account for seasonality. Finally, use get_finalization_details to project end dates and identify potential risks from long-running experiments.

ab-testingstatisticsexperimentationdata-scienceanalytics

3 tools expose this connector's capabilities to your AI agent.

calculate_sample_size

Calculate required sample size for an experiment

estimate_timeline

Estimate experiment duration

get_finalization_details

Get experiment end date and risk assessment

See how to talk to your AI agent using Test Duration Calculator.

I have a baseline conversion rate of 5%, an MDE of 10%, and 3 variants. How many samples do I need?

To detect a 10% relative lift with a 5% baseline across 3 variants, you will need approximately 48,250 samples per variant, totaling 144,750 users.

If I need 50,000 samples per variant and get 2,000 users per day, how many weeks should the test run?

At 2,000 users per day, you need 25 days. To ensure full weekly cycles and avoid seasonality bias, the recommended duration is 4 weeks.

If my experiment starts on 2024-06-01 and lasts for 5 weeks, when will it end and is there any risk?

The experiment is projected to end on 2024-07-06. Since the duration exceeds 4 weeks, a high alert level is triggered due to potential external interference.

The tool uses `estimate_timeline` to round up the required duration to the nearest full 7-day cycle, ensuring that weekly seasonality does not bias your results.

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