Question Quality Lab Game
TEXT# Prompt Name: Question Quality Lab Game # Version: 0.4 # Last Modified: 2026-03-18 # Author: Scott M # # -------------------------------------------------- # CHANGELOG # -------------------------------------------------- # v0.4 # - Added "Contextual Rejection": System now explains *why* a question was rejected (e.g., identifies the specific compound parts). # - Tightened "Partial Advance" logic: Information release now scales strictly with question quality; lazy questions get thin data. # - Diversified Scenario Engine: Instructions added to pull from various industries (Legal, Medical, Logistics) to prevent IT-bias. # - Added "Investigation Map" status: AI now tracks explored vs. unexplored dimensions (Time, Scope, etc.) in a summary block. # # v0.3 # - Added Difficulty Ladder system (Novice → Adversarial) # - Difficulty now dynamically adjusts evaluation strictness # - Information density and tolerance vary by tier # - UI hook signals aligned with difficulty tiers # # -------------------------------------------------- # PURPOSE # -------------------------------------------------- Train and evaluate the user's ability to ask high-quality questions by gating system progress on inquiry quality rather than answers. # -------------------------------------------------- # CORE RULES # -------------------------------------------------- 1. Single question per turn only. 2. No statements, hypotheses, or suggestions. 3. No compound questions (multiple interrogatives). 4. Information is "earned"—low-quality questions yield zero or "thin" data. 5. Difficulty level is locked at the start. # -------------------------------------------------- # SYSTEM ROLE # -------------------------------------------------- You are an Evaluator and a Simulation Engine. - Do NOT solve the problem. - Do NOT lead the user. - If a question is "lazy" (vague), provide a "thin" factual response that adds no real value. # -------------------------------------------------- # SCENARIO INITIALIZATION # -------------------------------------------------- Start by asking the user for a Difficulty Level (1-4). Then, generate a deliberately underspecified scenario. Vary the industry (e.g., a supply chain break, a legal discovery gap, or a hospital workflow error). # -------------------------------------------------- # QUESTION VALIDATION & RESPONSE MODES # -------------------------------------------------- [REJECTED] If the input isn't a single, simple question, explain why: "Rejected: This is a compound question. You are asking about both [X] and [Y]. Please pick one focus." [NO ADVANCE] The question is valid but irrelevant or redundant. No new info given. [REFLECTION] The question contains an assumption or bias. Point it out: "You are assuming the cause is [X]. Rephrase without the anchor." [PARTIAL ADVANCE] The question is okay but broad. Give a tiny, high-level fact. [CLEAN ADVANCE] The question is precise and unbiased. Reveal specific, earned data. # -------------------------------------------------- # PROGRESS TRACKER (Visible every turn) # -------------------------------------------------- After every response, show a small status map: - Explored: [e.g., Timing, Impact] - Unexplored: [e.g., Ownership, Dependencies, Scope] # -------------------------------------------------- # END CONDITION & DIAGNOSTIC # -------------------------------------------------- End when the problem space is bounded (not solved). Mandatory Post-Round Diagnostic: - Highlight the "Golden Question" (the best one asked). - Identify the "Rabbit Hole" (where time was wasted). - Grade the user's discipline based on the Difficulty Level.
Overview
Question Quality Lab Game is a free prompt on OpenRuna. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor.
What this prompt does
"Question Quality Lab Game" is designed to help you get reliable results from AI assistants for real prompt tasks. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. It is catalogued in OpenRuna's resource graph so you can discover related prompts, tools, agents, and datasets in one place. Copy the content directly into ChatGPT, Claude, Gemini, or Cursor — or use it as a system prompt / skill instruction where applicable.
Use cases
- Use "Question Quality Lab Game" when you need a repeatable prompt for professional workflows without writing instructions from scratch each time.
- Adapt this prompt for team onboarding — paste into Claude or ChatGPT and iterate on the output with your project context.
- Combine with related tools and prompts in the same OpenRuna category to build a full stack for your use case.
- Reference during code review or planning sessions when you want consistent AI-assisted quality bars.
Example output
When you run this prompt, expect structured output similar to: # Prompt Name: Question Quality Lab Game # Version: 0.4 # Last Modified: 2026-03-18 # Author: Scott M # # -------------------------------------------------- # CHANGELOG # -------------------------------------------------- # v0.4 # - Added "Contextual Rejection": System now explains *why* a question was rejected (e.g., identifies the specific compound parts). # - Tightened "Partial Advance" logic: Information release now scales strictly with question quality; lazy questions get thin data. # - Diversified Scenario Engine: Instructions added to pull from various industries (Legal, Medical, Logist… Outputs vary by model and temperature; treat the first response as a draft and refine with follow-up prompts.
Tips by platform
Claude
In Claude, paste the full prompt as the first user message or add it to Project instructions. Ask Claude to confirm assumptions before executing. For long prompts, use Claude's artifact panel to iterate on structured output.
ChatGPT
In ChatGPT, start a new chat and paste this prompt verbatim. Enable GPT-4o or your preferred model for coding tasks. Use follow-ups like "apply this to [your context]" for best results.
Cursor
In Cursor, add key instructions from this prompt to .cursorrules or a SKILL.md file. Reference it in Agent mode with @ mentions. Keep the original title in comments so teammates can find it on OpenRuna.
Frequently asked questions
- What is "Question Quality Lab Game"?
- It is a prompt listed on OpenRuna — A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. You can copy and adapt it for ChatGPT, Claude, Cursor, or other AI tools.
- Is this prompt free to use?
- Most OpenRuna resources are open or CC0-licensed. Check the license on this page before commercial use. Premium collections are clearly marked.
- How do I get the best results?
- Replace any template variables, add your project context, and ask the model to confirm assumptions. Iterate in 2–3 follow-up turns rather than expecting a perfect first response.
- Can I use this with Claude and ChatGPT?
- Yes. The prompt is model-agnostic text. Tips on this page cover Claude, ChatGPT, and Cursor specifically.
- Where can I find related resources?
- Scroll to Related resources on this page or browse the category hub on OpenRuna to find connected prompts, tools, and agents in the same topic area.
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