Why most university researchers waste 40% of their time on data analysis
I've watched students and lecturers spend weeks cleaning spreadsheets, fighting with SPSS, and Googling "how to run ANOVA in R" at 2am before a deadline.
The problem isn't that the analysis is hard. It's that the tools were built for statisticians, not for people who just need answers from their data.
Here's what most researchers actually need:
Upload a dataset and get summary stats instantly
Ask "is there a significant difference between Group A and Group B?" in plain English
Get a chart they can paste straight into their paper
That's exactly what NeuralMetrics does. AI handles the statistics. You focus on the research that actually matters.
We built this specifically for university students and lecturers working with surveys, experiments, and research datasets. No coding. No complex syntax. Just answers.
If you've ever lost a weekend to a pivot table, this is for you.
