What is Statistical Significance?
A measure of confidence that a difference in test results is real and not just random chance.
Why It Matters
Without statistical significance, you might make product decisions based on random fluctuations rather than real differences.
Real-World Example
An A/B test showing version B has a 5% higher conversion rate, with 95% confidence this is not due to chance.
“Understanding terms like Statistical Significance matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
Related Terms
A/B Testing
Showing different versions of something to different users to see which performs better
Conversion Rate
The percentage of visitors who take a desired action, like signing up or making a purchase.
Product Analytics
Tools and practices for tracking how users interact with your product to inform decisions.
Learn More at buildDay Melbourne
Want to understand these concepts hands-on? Join our one-day workshop and build a real web application from scratch.
Related Terms
A/B Testing
Showing different versions of something to different users to see which performs better
Conversion Rate
The percentage of visitors who take a desired action, like signing up or making a purchase.
Product Analytics
Tools and practices for tracking how users interact with your product to inform decisions.
Product-Market Fit
The point where your product satisfies a strong market demand and customers actively want it.
Lean Startup
A methodology for building businesses by rapidly testing ideas with real customers and iterating based on feedback.
User Experience (UX)
The overall experience a person has when using a product, including how easy and pleasant it is to use.