# Diagnose my admissions test practice results by question type

Accuracy and timing by question type, your biggest point opportunities ranked, and a focus plan for the next two weeks.

- Topic: Learning & Teaching
- Framework: Few-Shot
- Level: Advanced
- Tags: Analyze, Fill-in Template, Step-by-step
- Source: https://www.thinkwithprompt.com/prompts/diagnose-my-admissions-test-practice-results-by-question-type

## Prompt

```text
Diagnose my GRE, GMAT, LSAT, or similar practice test results by question type.

**Test:** [NAME]
**Practice test source:** [e.g. "official practice test 1" - official tests give the most reliable estimate]
**Section scores and total:** [SCORES]
**Target score:** [PASTE FROM STEP 1, or state it]
**Question-level results:** [FOR EACH QUESTION OR GROUP: question type, right/wrong, time spent - paste the score report export if you have it]
**How it felt:** [e.g. "ran out of time in quant", "guessed a lot on reading"]

Steps:
1. Group results by question type and calculate accuracy and average time for each.
2. Classify wrong answers where possible: didn't know the content, misread, fell for a trap answer, ran out of time, or guessed.
3. Rank point opportunities: how often a question type appears x how far my accuracy is from what my target score requires.
4. Separate quick wins (careless errors, timing) from longer builds (content gaps).
5. Check for timing problems: types where I spend far longer than average for low accuracy.

Return:
- A table: Question type | Questions | Accuracy | Avg time | Main error type | Priority.
- The top 3 point opportunities with why.
- Quick wins I can apply on the next test.
- A two-week focus plan: which question types to drill on which days, and when to take the next practice test.

Work only from the data I give; if the data is too thin for a conclusion, say so. This is step 2 of the "Prepare for a graduate admissions test" pack. It works on its own, and can use the target from step 1.
```

## What to fill in

- NAME
- SCORES
- PASTE FROM STEP 1, or state it
- e.g. "ran out of time in quant", "guessed a lot on reading"

Free to copy and use. From ThinkWithPrompt (https://www.thinkwithprompt.com/), a library of 2,663 curated AI prompts.