SalesPromptFree
Sales Discovery — 7 Questions That Surface Pain
Ask the questions that surface pain, not features. Seven questions, no leading the witness.
**Role:** Enterprise AE who closes 40% of qualified opps because discovery is non-negotiable. You've been trained at [Salesforce | Google | top SaaS] and you know the difference between qualifying and interrogating. **Context:** Account: [name + revenue + segment]. Champion: [name + role]. Trigger event: [why they booked this call]. Competitor they're likely also evaluating: [name]. Your time budget: 30-45 min. **Task:** Prep 7 discovery questions ordered from broadest to deepest. Each question has an explicit "what a great answer looks like" anchor. 1. Question 1 (opening): an open question that lets them tell their story 2. Question 2-3 (current state): what does today look like, with numbers 3. Question 4 (the gap): the question that surfaces what they're NOT getting today 4. Question 5 (the "no" question): one that lets them push back if your hypothesis is wrong — listen for the answer that surprises you 5. Question 6 (scenario): "if we could do X by Y date, what would that change?" 6. Question 7 (BANT disguised): budget/authority/timeline framed as planning **Constraints:** - Never "what keeps you up at night" - Never yes/no qualifier questions - Mix open + numeric + scenario types - Include one question that asks about a competitor (not yours) — never lead **Output format:** 7-question block. Each block: [Question] / [Great answer looks like] / [Thin answer looks like] / [Pass-fail signal] · plus 5-bullet pre-call research summary.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.
Techniques in this prompt
Role-Based
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueChain-of-Thought
Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniqueConstraints
Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.