Screener cloning
Lifts screener questions you already trust from a past study into a new one, then reads the result back before anything goes out.
Get the workflow
Enter your details and the prompt appears here, ready to copy.
Can I reuse screener questions from a past study?
Yes. An AI tool connected to Great Question can open a past study's screener, show every question with its qualifying logic, add the ones you pick to a new study's screener, and read the new screener back in order. Because it writes to a live study, you approve twice: once on which questions to copy, and once on the read-back before anyone is invited.
- Who runs it
- Whoever is designing the study.
- Where you sign off · You approve first
- Twice. Once on which questions to copy, once on the read-back. This workflow writes to a live study, so the read-back is not optional.
- Schedule it · By hand
- No.
How to run it in Claude, ChatGPT, Cursor or Copilot
The prompt is the same in every tool. What changes is where you connect Great Question and where you paste it.
Run it in Claude
- 1
Connect Great Question to Claude
In Claude Desktop, open Settings → Connectors → Add custom connector. Name it Great Question, paste https://greatquestion.co/api/mcp/v1, then Save and Connect and sign in with your Great Question account. Restart Claude so the tools load.
- 2
Paste the prompt
Start a new chat and paste the prompt. Claude asks before it uses each Great Question tool; allow the read tools, and read anything it proposes to write before you allow it.
Run it in ChatGPT
- 1
Connect Great Question to ChatGPT
In the ChatGPT or Codex desktop app, go to Settings → Plugins → MCPs → Add server. Name it Great Question, choose Streamable HTTP, paste https://greatquestion.co/api/mcp/v1, save, then authenticate.
- 2
Paste the prompt
Open a new chat with the Great Question server switched on and paste the prompt. If ChatGPT answers without calling a tool, say “use the Great Question tools” and it will.
Run it in Cursor
- 1
Connect Great Question to Cursor
Open Cursor Settings (Cmd/Ctrl + Shift + J) → MCP → New MCP Server, and add a server named great-question with the url https://greatquestion.co/api/mcp/v1 to mcp.json. Save, click Connect, and sign in.
- 2
Paste the prompt
Paste the prompt into the chat in Agent mode, which is the mode that can call MCP tools. Cursor asks before it runs each tool unless you have switched on auto-run.
Run it in Copilot
- 1
Connect Great Question to Copilot
In Copilot Studio, open your agent's Tools page → Add a tool → New tool → Model Context Protocol. Server name Great Question, server URL https://greatquestion.co/api/mcp/v1, OAuth for authentication, then add it to the agent.
- 2
Paste the prompt
Paste the prompt into the agent's chat. To run it the same way every time, put the prompt in the agent's instructions instead and share the agent with your team.
Your admin has to switch the MCP on in Great Question first. The MCP guide covers every tool, the security model and a team rollout.
The tools it calls
Named so you can see exactly what the agent touches before you let it near anything.
- get_interview_screener
- add_interview_screener_question
- update_interview_screener_question
What we never automate
Four rules sit under every workflow here, and they matter more than the workflows.
Nothing reaches a participant without a person
No workflow sends an invitation, an email or a reminder. The MCP can do those things. They are left out on purpose, because a scheduled job that contacts your customers is a different category of risk from one that reads a transcript.
Nothing launches a study without a person
An agent can build the screener and draft the messages. Someone still presses go.
Nothing reaches a stakeholder unchecked
The synthesis workflows hand you quotes with links attached so you can check them in one click. Use the click. A misattributed quote in a board deck costs more than the hour it saved.
Nothing sees more than the person who connected it
Permissions follow the individual, so an agent connected by a PM reaches exactly what that PM reaches. Your admin decides whether it is available at all.
Questions
Why not use a screener template?
If you already have one, apply it. This workflow is for the screener that worked on a past study and never became a template, which is most of them.
Does it keep the qualify and disqualify logic?
It reads the logic back with each question so you can check it carried over. Treat the read-back as the test, not a formality.
Can it write screener questions from scratch?
Yes, but that's a different job. The screener builder skill turns a persona into new questions; this workflow reuses ones you already trust.
Related reading
- The screener survey guide
What makes a screener question worth reusing in the first place.
- Screener builder skill
For writing new screener questions rather than copying old ones.
More workflows
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Cross-study quote mining
Builds a corpus across the studies you name, sorts participants by segment, and pulls verbatim quotes with the session they came from.
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The highlight reel shortlist
Finds the clips worth showing, with exact timestamps, speaker attribution and a link straight to the moment.
Read only - 09
Panel feasibility check
Tells you how many people in your panel match the criteria, before you commit to a study you cannot recruit for.
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