OBRI for Statistics Tutors

Sound familiar?

• 😓The same week you teach hypothesis testing to an undergrad and regression diagnostics to a PhD candidate — notes end up in different apps.
• 😓Software walkthroughs (R scripts, SPSS output) are hard to find again when a student emails "how did we do that step?"
• 😓Recurring weekly students and one-off dissertation sessions need different billing, but one invoice template fits neither.
• 😓Project-based fees get lost when you forget how many hours remain on a prepaid block.

OBRI solves all of these. Here is how.

A typical workflow for statistics tutors

1. 1Add the student with goal (course module, exam, dissertation chapter) and required software.
2. 2List methods still to cover — e.g. t-tests → ANOVA → regression → assumption checks.
3. 3After each session, log the method taught and one common mistake to watch (e.g. interpreting p-values vs effect size).
4. 4Assign a dataset or past-paper question due before the next meeting.
5. 5For dissertation clients, note chapter milestone and hours consumed against the agreed block.
6. 6Record payment per session or deduct from package balance when the block is used.

Common questions from statistics tutors

Is OBRI good for dissertation statistics support?

Yes. Track chapter milestones, methods covered, and hours against a prepaid block. When a student returns after two weeks of independent writing, your notes show exactly where analysis stopped.

Can I track which software each student uses?

Yes — note R, SPSS, Excel, or Stata in lesson records. Assign homework that matches their department requirements (e.g. APA tables from SPSS vs ggplot in R).

Does it handle one-off vs recurring clients?

Yes. Weekly course support and single dissertation consults live in the same system with different billing — hourly or package — without separate spreadsheets.