Students who happened to get the method picked for them put things off less
Who it’s about: Students, Young adults

- Helped
Students who happened to get the method a model picked tended to put things off less than the others.
- Rule: Use the method that fits youtested
- Action: Split a big task into piecesused
- Rule: Work only in set time windowsused
- Rule: Practise with a groupused
Randomised trial of 256 Polish-speaking university students who put things off · vs students who got the method not picked for them · they rated themselves · ⚠ not yet checked by other scientists; only counted people who finished; matched-vs-mismatched comparison observational; summary claims more than the results show
The study
Who took part
University students aged 18 to 26, about 22 on average, and 7 in 10 were women. They put things off more than most students and were looking for help. Two trials put 293 and 191 students into groups, and 256 who finished were counted.
What they did
Everyone had five weekly 90-minute online group sessions of therapy that challenges unhelpful thoughts. One group learned to plan realistically and to start on time, with goals, smaller steps, obstacles and start routines. The other group worked on their project only in set time slots each day. Afterwards a computer model judged which method would have suited each student.
What happened
Students who got the method the model picked for them put things off less than students who got the other one. They said so at the end and six months later. The gap was much bigger in the first trial than in the second, which was the real check. Students weren't put in groups by the model, so this doesn't prove that matching works. The paper's summary also says more than its results show.
Source
Optimizing Behavioral Strategy Selection during Cognitive Behavior Therapy for Procrastination using Machine Learning (2026)
DOI: 10.31234/osf.io/7t6j9_v2 (opens in a new tab)Tools in this study

Rule · how5
Use the method that fits youThe technique is chosen to suit the person's profile rather than given to everyone.






