Panel feasibility check
Tells you how many people in your panel match the criteria, before you commit to a study you cannot recruit for.
Get the workflow
Enter your details and the prompt appears here, ready to copy.
How do I know if my panel has enough participants for a study?
Before you commit to a study, ask an AI tool connected to Great Question how many panel members match every criterion, split by company size and industry, and how many were in a study in the last 90 days. If the count is short, have it name the single criterion costing you the most people. It only reads, so it's safe to run at every intake.
- Who runs it
- Research ops, at study intake.
- Where you sign off · Read only
- Nothing. Read only.
- Schedule it · By hand
- No. Run it at intake, every time. The last question in that prompt is the useful one.
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.
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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.
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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.
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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.
- search_candidates
- list_candidate_segments
- get_candidate_segment
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
What is a feasibility check in research recruitment?
A check, before a study is scoped, that enough eligible people exist and are available. Doing it at intake means you change the criteria or the channel early, instead of finding out halfway through recruitment.
Why exclude people studied in the last 90 days?
Contacting the same participants too often tires your panel and skews findings toward the people who always say yes. Ninety days is a common default; set your own.
What if my panel can't fill the study?
Loosen the criterion the check flags, or recruit externally for the gap. Our guide to recruitment methods for a research panel covers the options.
Related reading
- Tips to manage your customer research panel
Keeping the panel healthy enough to pass the check.
- Recruitment methods for your research panel
What to do when it doesn't.
More workflows
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CRM to panel matching
Checks in bulk whether the people in your CRM are already research participants, so you stop inviting the same person through two doors.
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Bulk panel tagging
Applies the same attribute across your panel so one filter returns everyone it should.
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Study email localisation
Translates your study email templates for a second region without rewriting each one by hand, and replaces nothing until you approve.
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