IDNA is a research project on how biases shape investment decisions, and an assessment built from it. It measures seven biases across 56 statements and places you in one of sixteen archetypes, grouped into four families.
Standard economic theory assumes investors weigh evidence and act in their own interest. Behavioural economics shows something else: decisions are steered by mental shortcuts that operate quietly, feel like judgment, and repeat.
This project asks whether those shortcuts cluster. If they do, a person's pattern of biases can be described as a type rather than a list of individual errors, and knowing your own pattern becomes something you can act on.
Behavioural biases do not appear at random. They cluster into recognisable profiles, and those profiles can be identified with a short self-report instrument.
Before the statements you are asked your age, sex, country, and how much investing experience you have. These make it possible to look at whether bias profiles differ across groups, so all of them, along with your consent, are required to take the assessment.
No name, email address or IP address is stored. Answers cannot be traced back to you, which also means a submitted response cannot be withdrawn afterwards.