ThinkWithPrompt by SynotticThinkWithPrompt

Build a pacing strategy for full-length admissions practice tests

Time checkpoints per section, skip-and-guess rules, a stamina plan, and a method for reviewing each full test.

Learning & TeachingRTFAdvancedStrategyPlanFill-in TemplateInteractive

The prompt

Build a pacing and stamina strategy for my full-length admissions practice tests. Test: [NAME] Section structure: [PASTE THE CURRENT SECTIONS, QUESTION COUNTS, AND TIME LIMITS FROM THE OFFICIAL SITE] My timing data: [WHERE I RUN OUT OF TIME, AVERAGE TIME PER QUESTION TYPE - paste from step 2 if you have it] Recent full-length scores: [SCORES AND DATES] Test date: [DATE] Rules: - Use only the section structure I paste; if I haven't pasted it, ask me for it rather than guessing, since formats change. - Confirm with me whether wrong answers are penalized and whether I can move between questions within a section, because that changes the strategy. Mark assumptions [CONFIRM]. Return: 1. Time checkpoints for each section (e.g. "question 10 by minute 18") and what to do if I'm behind. 2. Skip, flag, and guess rules: how long to spend before moving on, and how to choose a guess. 3. A question-order strategy, if the test allows navigation. 4. A stamina plan: how to build up to full-length tests, a break routine, and what to eat and drink on test day in general terms. 5. A schedule of remaining full-length practice tests until test day, taken under realistic conditions. 6. A 2-hour review method for each full test: timing review, error log, and one change to try next time. This is step 4 of the "Prepare for a graduate admissions test" pack. It works on its own, and can use the timing data from step 2 and drills from step 3.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • NAME
  • SCORES AND DATES
  • DATE
  • CONFIRM

How this prompt is built

This prompt follows the RTF structure (Role, Task, Format). RTF tells the model who to be, what to do and what shape the answer should take. It is the quickest structure that still gives noticeably better results than a bare request.

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