Free tool

Generate ready-to-use questions for quizzes, interviews and surveys

Pick a template, paste your passage or upload content, and get structured questions with answer options, brief rationales, and difficulty tags. Designed for teachers, recruiters, product teams, researchers, and content creators who need consistent, exportable assessment items fast.

Try the generator See templates

Use cases

Who this helps

The generator is designed for instructional designers, K–12 and higher-ed teachers, tutors, HR and recruiting teams, UX researchers, market researchers, and content marketers who need reliable, consistent question sets without manual prompt engineering.

Turn lecture notes, slides, or transcripts into multiple-choice quizzes and flashcards.
Build interview packs (screening, behavioral, technical) with follow-up probes.
Create customer surveys and Likert-scale items mapped to a research objective.
Batch-convert spreadsheet columns into LMS-ready question banks.

Ready-made prompts

Core templates and prompt clusters

Choose a focused template for your task. Each template returns structured fields (question, options, correct answer, short rationale, difficulty tag) so outputs are ready to review and export.

Quiz from passage

Create multiple-choice questions with explanations and difficulty tags.

Prompt example: "Given the passage below, create 10 multiple-choice questions. For each: provide question, four answer options labeled A–D, indicate the correct option, add a one-sentence explanation of the correct answer, and tag difficulty as easy/medium/hard. Passage: {{PASSAGE}}"

Interview pack

Screening, behavioral (STAR), and technical questions with probes.

Prompt example: "Role: {{ROLE}}. Generate 12 interview questions: 4 screening, 4 behavioral with one follow-up probe each, and 4 technical."

Survey starter

Likert items plus open-ended questions tailored to a product objective.

Prompt example: "Product: {{PRODUCT_NAME}}. Objective: measure satisfaction for feature X. Produce 8 Likert-scale items (5-point) and 3 open-ended questions; mark each as quantitative or qualitative and suggest a target segment."

Batch conversion (CSV)

Convert rows of content into multiple questions per row with CSV-ready columns.

Prompt example: "Input: a CSV column named 'content'. For each row, generate 3 multiple-choice questions and output as CSV rows with columns: question,type,option_A,option_B,option_C,option_D,correct,explanation,difficulty."

Bias & policy check

Identify potentially leading or sensitive items and suggest neutral rewrites.

Prompt example: "Given this question set: {{QUESTIONS}}. Identify any items that could be biased, leading, or sensitive; flag those and suggest neutral rewrites with brief rationale."

Where to start

Content sources and workflows

The generator works with plain text, uploaded passages, slide outlines, transcripts, course syllabi, existing CSVs, product notes, or code samples. Pick your source, select an appropriate template, and run the batch or single-item generation.

From slides: paste speaker notes or bullet-text; ask for one question per slide or multiple questions per section.
From transcripts: provide cleaned transcript segments and specify time ranges or speakers to focus questions.
From spreadsheets: use the batch conversion template to map each row to multiple question rows in CSV format.
For technical assessments: include code samples or problem descriptions and request input/output examples and unit tests.

Copy, export, import

Export & integration guidance

Outputs are structured for straightforward export into LMS, survey platforms, or spreadsheets. Use the CSV prompt templates to generate columns that match the target tool, or copy/paste formatted blocks for manual import.

CSV columns we recommend: question,type,option_A,option_B,option_C,option_D,correct,explanation,difficulty,source_reference
For LMS imports, map 'question' and 'options' columns to your platform's import template and use 'difficulty' for tagging or filtering.
For survey tools, use 'Likert' or 'scale' as the 'type' and include target segment recommendations in an additional column.

Review best practices

Fairness, clarity, and validation

AI-generated items speed up creation but require human validation. Use the built-in fairness prompts to flag sensitive or leading language, and follow a quick review checklist before deploying questions in assessments.

Run a policy-and-bias check prompt on each generated set and review flagged items manually.
Validate correct answers and explanations against the source material; add citations for high-stakes assessments.
Pilot new items with a small group and collect feedback before large-scale deployment.

Sample results

Example outputs

Below are short examples of the structure you should expect from the templates. Use these as a copy/paste-ready starting point for review and import.

Multiple-choice item (example)

Question, four options, correct key, explanation, difficulty tag.

Question: What is the main purpose of X?
A) Option one B) Option two C) Option three D) Option four
Correct: B
Explanation: The passage explains that X is primarily used for ...
Difficulty: Medium

Short-answer item (example)

Concise question and model answer with citation phrase.

Question: Summarize the author’s main argument in one sentence.
Model answer: The author argues that ... (see paragraph 3: "...")
Difficulty: Medium

CSV flashcard row (example)

Columns formatted for import.

front,back,tag
"What is polymorphism?","Polymorphism is...","OOP"

FAQ

How do I control difficulty and reading level when generating questions?

Select the template controls for reading level or include an explicit instruction in the prompt (e.g., 'Target reading level: Grade 6' or 'Use professional tone for technical candidates'). The generator will label items with an easy/medium/hard tag; review and adjust tags manually for final sets.

What formats can I export generated question sets into?

Use the CSV-ready templates to produce columns for spreadsheets and LMS import. You can also copy formatted plain text blocks for manual import into survey builders or paste Q/A pairs into flashcard apps.

How do I avoid bias and leading language in AI-generated questions?

Use the included 'Policy and bias check' template to flag sensitive or leading items. In prompts, ask explicitly for neutral wording and to avoid assumptions about gender, race, or socioeconomic status. Always perform a manual review of flagged items.

Can I generate questions from PDFs, slides, or meeting transcripts? What’s the workflow?

Yes. Extract or copy the text you want to target (slide notes, cleaned transcript segments, or PDF text). For long sources, split into passages or sections and run the 'Quiz from passage' or 'Reading-comprehension' templates on each chunk to keep questions focused and accurate.

How to create good distractors for multiple-choice questions using AI prompts?

Use the 'Multiple-choice distractors' prompt cluster: provide the correct answer and the concept, then request three plausible distractors that reflect common misconceptions and a one-sentence explanation for why each distractor is incorrect.

What steps should I take to validate AI-generated questions before use in assessments?

Validate correctness against the source, check explanations and citations, run bias checks, pilot items with a small audience, and adjust difficulty tags. For high-stakes assessments, have subject-matter experts review each item.

Are there recommended prompt parameters for interview versus quiz questions?

Yes. For interviews, specify role, seniority, and desired focus (behavioral, technical, screening). For quizzes, provide the passage or scope, desired number of items, item type, and target difficulty distribution.

How to batch-convert an existing content spreadsheet into an LMS-ready question bank?

Use the 'Batch conversion' prompt: map the spreadsheet column (e.g., 'content') and request the number/type of questions per row, with CSV columns matching your LMS import template. Export the generated CSV, validate a sample of rows, and then import into your LMS.

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