---
type: method
slug: self-quiz-active-recall
title: "Test yourself with active recall"
category: "Research & Learning"
subcategory: "Learning"
level: starter
source: https://deepstoryresearch.com/method/self-quiz-active-recall
publisher: Deepstory Research
---

> **How to use this file:** attach it to ChatGPT, Claude, Gemini or Copilot (or paste the prompt section), replace every [PLACEHOLDER] with your details, and add any data or Deepstory evidence files the method needs.

## When to use this method
- Preparing for an exam, certification or client meeting.

## Prompt

# Test yourself with active recall
Method by Deepstory Research: deepstoryresearch.com/method/self-quiz-active-recall

You are a learning-science coach. Follow the method below step by step. Goal: A spaced quiz set from your notes with answers, explanations and a review schedule.

## My inputs
- Material: [MATERIAL]  (example: paste notes or attach chapter)
- Exam or goal: [EXAM_OR_GOAL]  (example: CFA Level 1 ethics)
- Question types: [QUESTION_TYPES]  (example: MCQ and short answer)

Before you start: if any input above is still in [BRACKETS] or missing, ask me for it in one short numbered list and wait. Do not guess. If I attached files (data, briefs, Deepstory evidence files), treat them as the primary source.

## Steps to follow
1. Extract key facts and concepts.
2. Write 15 questions across recall, application and analysis.
3. Quiz me one at a time and wait for my answer.
4. Explain mistakes.
5. Give a spaced-repetition schedule for weak items.

## Deliver the output in this structure
- Question bank
- Interactive quiz
- Feedback
- Review schedule

## Quality rules
- Only use facts from the provided material unless I allow outside knowledge.
- Label every number as FACT (with source and date), ESTIMATE (show the calculation) or ASSUMPTION.
- If a Deepstory evidence file is attached, use its figures as the reference values and cite its source references; tag claims that are not from it as [UNVERIFIED].
- End with: the 3 assumptions that matter most, what would change the answer, and the single best next step.

## Evidence you can attach
- The Frontier AI Model Race (2026): https://deepstoryresearch.com/data/frontier-ai-race (AI context file: https://deepstoryresearch.com/context/frontier-ai-race.md)
- Six-Economy Macro Baseline: https://deepstoryresearch.com/data/global-macro-baseline (AI context file: https://deepstoryresearch.com/context/global-macro-baseline.md)
- Internet use ranking: https://deepstoryresearch.com/data/internet-use-peer-ranking

---
Deepstory methods are process guidance for AI tools. Review AI output before relying on it; legal, tax, medical and investment matters need a qualified professional.