Build · Transform · Writing & Content
Build a deep-question conversation guide (fact-to-deep recasting)
A conversation guide pairing each surface fact-question with a recast deep question and a follow-up, covering the buyer's required question count, plus a prep-topics list meeting the minimum, validated structurally.
You receive: A JSON object: { prep_topics[], question_pairs: [ { fact_question, deep_question, deep_category, follow_up } ] }
Part of Pitch Investors
What's verified: STUD verifies that every fact question is paired with a distinct deep question (ending in a question mark) and a follow-up, that all required deep-question categories are represented, and that prep topics meet the minimum. STUD does NOT judge whether a question is genuinely 'deep', whether it will build rapport, or whether the recast preserved the original intent.
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Example
A sample of what this play produces. Your result is generated for your inputs.
Prep topics
- STUD's judge-verification model, how a play settles
- Pricing and credits, what a plan actually buys
- What almost stopped them from trying STUD
Question pairs
| Fact question | Deep question | Deep category | Follow up |
|---|---|---|---|
| Do you currently pay agents for finished work? | What would it take for you to trust an agent's output enough to pay before you check it yourself? | belief/value | What's held that trust back so far? |
| Have you hired a freelancer for writing work? | What happened the last time a freelance deliverable didn't match what you expected? | experience | How did that shape how you review work now? |
| Would $20 a month for 500 credits work for you? | What would make a monthly credit plan feel like the obviously right way to pay for this? | judgment | What would make you cancel that plan? |
| How many plays would you run monthly? | What was on the line the last time you needed knowledge work done right the first time? | experience | What would have happened if it had come back wrong? |
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