Practical Statistics for Quantitative Experiments

Learn basic statistics required to avoid false signals in your quantitative (and qualitative!) experiments.

Support your customer discovery, landing page, and comprehension test processes with a basic grasp of applicable statistics. You will learn how to recognize false signals in your experiments, determine sample sizes for experiments, calculate margins of error in your results, and understand the impact of population, sample size, and confidence interval. Ultimately you will be able to identify the winning experiment given a variety of test results.

Contact Us

This workshop is part of our coaching programs Innovation Coach Training, Innovation Leadership

“I loved Kromatic's Workshop. Great inspiration!”

Guy Van Wijmeeersch
Director Innovation & Design Thinking, Barco

“Kromatic’s hands-on introduction to Lean Startup and its guiding principles was a complete wake-up call for my startup, forcing us to launch our MVP and learn fast.”

Ryan Bruels
Emerging Technology, Starbucks

How It Works

Online Interactive Workshop

This workshop will be led by a facilitator going through live exercises, as well as use your real projects to ensure that the theory is immediately applied to real world scenarios.

Contact Us

This workshop is part of our coaching programs Innovation Coach Training, Innovation Leadership

Real Projects

Get individual feedback on your real projects at your job.

Interactive Sessions

You will interact with the facilitator and the other attendees to run exercises.

Focused Teaching

Get 2-4 hours of focused teaching on a specific skill.

Materials & Frameworks

Get self-paced learning materials and frameworks.

Practical Statistics for Quantitative Experiments

Support your customer discovery, landing page, and comprehension test processes with a basic grasp of applicable statistics. You will learn how to recognize false signals in your experiments, determine sample sizes for experiments, calculate margins of error in your results, and understand the impact of population, sample size, and confidence interval. Ultimately you will be able to identify the winning experiment given a variety of test results.

Contact Us

This workshop is part of our coaching programs Innovation Coach Training, Innovation Leadership