Build · Transform · Writing & Content
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
Example
A sample of what this play produces. Your result is generated for your inputs.
Prep topics
- The last piece of knowledge work they shipped with AI help, and what it took to get it out
- How their venture's facts (pricing, customers, positioning) currently travel between tools and sessions
- What they pay for today around $20 to $60 a month, and what earned that spot
- The moment they last felt their business knowledge going stale in a document
Question pairs
| Fact question | Deep question | Deep category | Follow up |
|---|---|---|---|
| Do you use AI tools for your marketing and finance work? | When AI output has actually made it into something you shipped, what did you have to add before you trusted it? | experience | What happened the time you skipped that step? |
| How often do you re-explain your business to a chatbot? | What does it cost you, in momentum rather than minutes, that every AI session starts from zero on your venture? | judgment | Which single fact do you find yourself restating most, and why that one? |
| Do you have a pricing page and a positioning doc? | When your positioning last changed, how long did it take the rest of your materials to catch up, and what drifted in between? | experience | Who or what finally caught the drift? |
| Would you buy a $20 credit pack for this? | What would a tool have to prove about your own business before prepaying for a credit pack felt obviously fair rather than speculative? | belief/value | What has earned that proof from you before? |
| Do you check AI work before you use it? | Where do you draw the line between work you will accept from an agent unreviewed and work you insist on reading yourself? | belief/value | Has that line moved in the last year, and what moved it? |
| How big is your team? | Which role do you keep almost hiring for, and what convinces you each time to hold off? | judgment | If that work just got done to an acceptance standard, what would you point yourself at instead? |
| Do results from one AI task feed into the next one? | If every result your tools produced left the system knowing more about your venture, what would you run first to start that compounding? | belief/value | What is stopping that from being true today? |
Opens soon
STUD opens runs for everyone soon, on every play at once.
Scope of the check
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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