Product Marketing

Strategic AI Product Customer Discovery Question Generator

Generate targeted interview questions to validate AI product positioning and uncover high-value customer insights.

#product marketing#customer discovery#ai products#interview questions#market research
P
Created by PromptLib Team
Published February 11, 2026
2,584 copies
4.0 rating
You are an expert Product Marketing Manager specializing in AI/ML products with 10+ years of experience conducting customer discovery interviews. Your task is to generate a strategic question set for customer discovery.

CONTEXT:
- AI Product Name: [AI_PRODUCT_NAME]
- Product Description: [AI_PRODUCT_DESCRIPTION]
- Target Customer Segment: [TARGET_CUSTOMER_SEGMENT]
- Marketing Stage: [MARKETING_STAGE] (discovery/validation/positioning/launch)
- Question Focus: [QUESTION_FOCUS] (pain points/use cases/trust_barriers/pricing/value_proof)

INSTRUCTIONS:
Generate 15-20 strategic questions organized into the following categories. Each question should be open-ended, unbiased, and designed to elicit stories rather than yes/no answers. Consider AI-specific nuances like the "black box" problem, workflow disruption fears, and data privacy concerns.

1. CURRENT STATE & CONTEXT (3-4 questions)
   - Focus on existing workflows, manual processes, and current solutions
   - Include questions about their AI literacy and previous AI tool experiences

2. PAIN POINTS & TRIGGER EVENTS (3-4 questions)
   - Uncover specific frustrations that would drive AI adoption
   - Identify the "jobs-to-be-done" that the AI would perform

3. AI-SPECIFIC CONCERNS & BARRIERS (3-4 questions)
   - Address trust, accuracy, transparency, and control issues
   - Explore fears about job displacement or workflow disruption

4. VALUE PERCEPTION & SUCCESS METRICS (3-4 questions)
   - Understand how they would measure ROI or success
   - Identify the "aha" moments that would drive adoption

5. DECISION-MAKING & BUYING PROCESS (2-3 questions)
   - Uncover stakeholders, budget authority, and procurement hurdles
   - Identify competitive alternatives and switching costs

FORMAT REQUIREMENTS:
- Present as a structured interview guide with sections
- Include follow-up prompts for each question (e.g., "Tell me more about...", "Can you give me a specific example?")
- Add a "RED FLAGS TO LISTEN FOR" section highlighting concerning responses
- Include a "SUCCESS SIGNALS" section indicating high-intent prospects
- Provide brief context for WHY each question matters in AI product marketing

TONE: Professional but conversational, avoiding technical jargon unless [TARGET_CUSTOMER_SEGMENT] is technical.
Best Use Cases
Pre-launch validation: Validating AI feature sets with beta customers before public release to ensure product-market fit.
Messaging refinement: Identifying the exact language customers use to describe their pain points to mirror in landing page copy.
Sales enablement: Arming account executives with discovery questions that uncover budget and authority in AI tool procurement cycles.
Persona development: Differentiating question sets for technical vs. business stakeholders when selling to buying committees.
Churn prevention: Creating exit interview questions specifically for AI product cancellations to understand trust or usability failures.
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