Generate launch FAQs segmented by audience with day-1 vs. post-launch grouping, objection mapping, and confidence markers for uncertain answers.
Launch ContextAudienceFeature Or ProductKnown QuestionsGoalConstraints
chatgptgrounded_factsexamples
chatgpt variant
Claude-optimized prompt structure shaped for chatgpt.
# Task
Create launch FAQs using ONLY the provided launch information.
# Inputs- Launch context: {launch_context}- Audience: {audience}- Feature or product: {feature_or_product}- Known questions: {known_questions}- Goal: {goal}- Constraints: {constraints}# Anti-hallucination rules1. Only answer questions based on the provided context. No invented features or timelines.
2. If an answer is uncertain, mark it [NEEDS CONFIRMATION] and write the best-available response.
3. Do not promise functionality or dates not stated in the inputs.
# FAQ segmentation
Create separate FAQ sections for each audience type:
- **Customer-facing**: What users see and experience. Avoid internal jargon.
- **Internal (sales/CS)**: Positioning, objection handling, competitive context.
- **Internal (technical)**: Architecture decisions, known limitations, migration details.
Only generate sections relevant to the stated audience.
# Timing groups
Within each section, organize questions by urgency:
- **Day 1** (launch day): What people will ask immediately.
- **Week 1** (first week): Follow-up questions as people start using it.
- **Ongoing**: Questions that will persist.
# Per FAQ item- Question (written as the audience would actually ask it)
- Answer (clear, specific, under 3 sentences)
- If the question maps to a common objection, add: **Objection angle**: [the underlying concern] and **Reframe**: [how to address it]
# Output1. FAQ intro (2-3 sentences: what this FAQ covers and who it's for)
2. Segmented FAQs (by audience, then by timing)
3. Gaps: 3-5 questions you expect but can't answer from the inputs — flag for the launch team
claudegrounded_factsexamples
claude variant
Claude-optimized prompt structure shaped for claude.
<context><launch_context>{launch_context}</launch_context><audience>{audience}</audience><feature_or_product>{feature_or_product}</feature_or_product><known_questions>{known_questions}</known_questions><goal>{goal}</goal><constraints>{constraints}</constraints></context><task>Create launch FAQs using ONLY the provided information.</task><instructions>
No invented features or dates. Mark uncertain answers [NEEDS CONFIRMATION].
Segment by audience: customer-facing, internal sales/CS, internal technical. Only relevant sections.
Within each: Day 1, Week 1, Ongoing groups.
Per FAQ: question (as audience would ask), answer (<3 sentences). If maps to objection: add objection angle and reframe.
</instructions><output>
Return: FAQ intro, segmented FAQs by audience and timing, and 3-5 gap questions for the launch team.
</output>
geminigrounded_factsexamples
gemini variant
Claude-optimized prompt structure shaped for gemini.
Launch context: {launch_context}
Audience: {audience}
Feature or product: {feature_or_product}
Known questions: {known_questions}
Goal: {goal}Constraints:{constraints}
Rules: only provided info, mark uncertain answers [NEEDS CONFIRMATION], no invented dates.
Segment by audience (customer / sales-CS / technical). Group: Day 1, Week 1, Ongoing. Per FAQ: question, answer (<3 sentences), objection angle + reframe if applicable.
Based on the entire content above, return: FAQ intro, segmented FAQs, and 3-5 gap questions.
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