Question Paper Analysis Prompt for Exam Prep

A question paper analysis prompt asks an AI to examine past exam papers and identify the topics, question types, and reasoning patterns that appear most frequently — without inventing predictions about what will appear on the next exam. This distinction matters: useful analysis is based entirely on what past papers show, not on what the model thinks an examiner might choose. Tools like fenbs let you save the analysis rubric, track what you have already analyzed, and record the study lessons that follow so every revision session builds on the previous one rather than repeating the same groundwork.

The prompts below are structured for two stages: analyzing a set of past papers to find patterns, and converting those patterns into a targeted study plan. Both stages are grounded in the papers you provide, not in the model's general knowledge of the subject.

What question paper analysis can and cannot tell you

Analyzing past papers reliably shows you which topics have appeared, how often, in what question format, and at what level of depth. It can show you which reasoning skills the questions test — whether they require recall, application, analysis, evaluation, or a combination — and how those requirements have shifted over several years.

What analysis cannot tell you is what will appear on the next paper. Examiners change, syllabuses update, and patterns break. Past paper analysis is a tool for directing revision toward areas with a track record of appearing, not a guarantee of what to study. Any AI that claims to predict exam questions from past papers is overstating what the analysis supports.

Keep the analysis grounded in the papers you actually have. A model that supplements your papers with its own knowledge of the subject is blending two different sources — what the past papers show and what the model knows about the topic — which makes the analysis unreliable as a guide to what this particular exam tests.

The question paper analysis prompt

This prompt asks the model to work from papers you provide and produce a structured report on what they contain. You can run it on a single paper or ask it to compare patterns across several years.

I am going to paste a past exam paper. Analyze it using only what is in the paper — do not add information about the subject from your training.

Paper: [paste the paper or a description of its questions]
Subject: [subject name]
Level: [e.g., AP, college introductory, professional certification]

Produce an analysis with these sections:

TOPIC COVERAGE:
List each topic that appears in the paper. For each topic, note: how many questions cover it, and the marks or weight it carries.

QUESTION TYPES:
List each question type (e.g., multiple choice, short answer, essay, calculation, analysis). For each type, note how many questions use it.

REASONING SKILLS REQUIRED:
For each question or question group, identify the reasoning skill it primarily tests: recall, application, analysis, evaluation, or synthesis. Give a one-sentence example.

DEPTH AND FORMAT OBSERVATIONS:
Note anything consistent about how questions are phrased, what they assume the reader already knows, or how they structure a multi-part question.

Do not predict future questions. Only describe what is in this paper.

I have analyzed [n] past papers from [year range] for [subject]. Here are the analysis reports for each: [paste each analysis report]

Compare the papers on:
1. Topics that appear in every paper
2. Topics that appear in most papers (3 or more out of [n])
3. Topics that appear in only one or two papers
4. How the balance of question types has shifted over the years
5. How the reasoning skills required have changed (if at all)

Present as a summary table for topics, and a paragraph for question types and reasoning skills. Do not add topics or patterns that are not in the reports I provided.

Converting the analysis into a study plan

Analysis without a plan is information that does not change how you study. Once you have the pattern report, this prompt converts it into a prioritized study list based on what the papers show.

Here is the pattern analysis from [n] past papers: [paste comparison analysis]

I have [time available, e.g., 4 weeks] before the exam, studying [hours per week].

Build a prioritized study plan:
1. Priority 1 — topics that appear in every paper: list them with suggested time allocation
2. Priority 2 — topics that appear in most papers: list them with suggested time allocation
3. Priority 3 — topics that appear rarely: include only if time allows
4. For each priority, list the reasoning skill most commonly tested so I can practice the right type of question

Do not invent exam predictions. Base the priorities only on the pattern analysis above.

The study plan prompt asks for time allocation alongside topic priority. Allocating study time proportionally to topic frequency means you spend more time on what appears most, not on what feels most difficult or interesting. These are not always the same.

Prompts for building a personal answer rubric

Past papers are most useful for studying when you can check your own answers against a standard. A rubric prompt extracts what "a good answer" looks like from the mark schemes or model answers that accompany papers.

Here are the mark schemes for [n] past papers: [paste mark schemes]

For each question type (e.g., short answer, essay, calculation), extract:
1. What a full-mark answer must include
2. What partial credit is given for
3. What examiners consistently mark down

Present as a rubric table with columns: Question type | Full marks requires | Partial credit for | Common deductions

Use only what the mark schemes show. Do not add general advice about good answers.

What to do when patterns are not clear

Some subjects have unpredictable papers — the examiner rotates through topics without a consistent pattern, or the syllabus covers so many topics that no single one dominates. When the analysis shows no clear pattern, that is itself useful information. It means your study strategy should aim for broad coverage rather than targeted depth.

In this situation, the most useful output from the analysis prompt is the question type and reasoning skill breakdown rather than the topic coverage. Even if topic coverage is unpredictable, an exam that consistently tests analysis and evaluation rather than recall is telling you something important about how to practice. Practicing evaluation questions looks different from practicing recall questions: recall practice is about retrieving and reproducing information, while evaluation practice is about constructing and defending a judgment. Knowing which the exam rewards means you can design practice sessions that match the skill being tested.

How to do this with fenbs

1. Create a free account and add a project for your exam preparation.
2. Save the paper analysis prompt, the comparison prompt, and the rubric prompt as Skills in the project.
3. After analyzing each paper, save the pattern report as a context note in the project. Track which papers you have already analyzed.
4. Add the prioritized study plan as a task list in the project, with each topic as a task you can move through the kanban board from To Do to Completed.
5. After each study session, add a Lesson: what you practiced, how it went, and what to adjust next time. These accumulate into a record of what works for you specifically.

fenbs does not access exam board databases or retrieve past papers. You provide the papers; fenbs keeps the analysis prompts and the study record that make each revision session build on the previous one. For general AI prompts that support study work, see system prompt examples and prompt engineering.