How To ACE AI Product Design Interviews (Anthropic PM Mock Interview)
12.9K views · 2026-01-20
Product Design
The first AI product design mock interview on YouTube. Join our cohort to perform like this: https://www.landpmjob.com/
Full Writeup: https://www.news.aakashg.com/p/ai-product-design-interview
🎥 Timestamps:
0:00 - Intro
0:50 - Five Types of AI Product Design Questions
2:24 - The OpenAI Question
3:02 - Clarification Questions
4:09 - Structuring the Framework
4:47 - User Segmentation
6:13 - Selecting Pet Types
7:20 - Picking the Target Buyer
8:01 - Problem Brainstorming
9:18 - Prioritizing Problems
10:09 - Connecting to the AGI Goal
11:45 - Solution Brainstorming
15:25 - Prioritization Framework
18:53 - Selecting the Final Solution
20:21 - Core Flows Design
24:22 - Key Design Decisions
26:56 - Prompting Lovable for Prototypes
28:53 - Progress Toward AGI
30:05 - Risks and Mitigations
30:54 - The Story: Sarah and Max
31:35 - How the Interview Was Evaluated
36:46 - Land PM Job Cohort Info
📝 Key Takeaways:
1. AI product design is the hardest PM interview type in 2026 - OpenAI, Meta, Anthropic all ask these questions. Regular product design frameworks don't work. You need AI-specific approaches.
2. Always clarify before diving in - Pet type, standalone vs integrated, success metrics. These constraints shape everything. Don't assume.
3. Start with users, not features - Segment by buyer motivation: new pet owners, owners with behavioral issues, aging pet owners, professionals. Pick the one with highest pain and willingness to pay.
4. Connect problems to company mission early - OpenAI cares about AGI progress. Behavioral understanding in simpler organisms builds empathy systems that transfer to humans. Frame your solution within their strategic goals.
5. Visual narration separates exceptional from good - Draw your structure. Number your solutions. Build comparison tables. Interviewers follow your thinking easier when they can see it.
6. Prioritize using explicit criteria - User impact, technical feasibility, differentiation, engagement potential. Rate each solution. Show your math.
7. Combine complementary solutions into one product - Real-time behavioral coach plus conversation simulator. One solves the foundational problem, the other creates the magic moment.
8. Design core flows, not screens - Setup phase, passive monitoring, active coaching, conversation mode. Think in user states and transitions.
9. Offer modern prototyping alternatives - When time runs short, switch to prompting Lovable or Cursor. Shows you can work with AI tools, not just talk about them.
10. End with risks and mitigations - Bad advice, over-anthropomorphization, privacy concerns, pet type limitations. Shows product maturity beyond feature excitement.
👨💻 Where to find Aakash:
Twitter: https://www.x.com/aakashg0
LinkedIn: https://www.linkedin.com/in/aagupta/
Newsletter: https://www.news.aakashg.com
Land PM Job: https://www.landpmjob.com/
#mockinterview #pminterview
🧠 About Product Growth:
The world's largest podcast focused solely on product + growth, with over 200K+ listeners.
🔔 Subscribe and turn on notifications to get more videos like this.
Full Writeup: https://www.news.aakashg.com/p/ai-product-design-interview
🎥 Timestamps:
0:00 - Intro
0:50 - Five Types of AI Product Design Questions
2:24 - The OpenAI Question
3:02 - Clarification Questions
4:09 - Structuring the Framework
4:47 - User Segmentation
6:13 - Selecting Pet Types
7:20 - Picking the Target Buyer
8:01 - Problem Brainstorming
9:18 - Prioritizing Problems
10:09 - Connecting to the AGI Goal
11:45 - Solution Brainstorming
15:25 - Prioritization Framework
18:53 - Selecting the Final Solution
20:21 - Core Flows Design
24:22 - Key Design Decisions
26:56 - Prompting Lovable for Prototypes
28:53 - Progress Toward AGI
30:05 - Risks and Mitigations
30:54 - The Story: Sarah and Max
31:35 - How the Interview Was Evaluated
36:46 - Land PM Job Cohort Info
📝 Key Takeaways:
1. AI product design is the hardest PM interview type in 2026 - OpenAI, Meta, Anthropic all ask these questions. Regular product design frameworks don't work. You need AI-specific approaches.
2. Always clarify before diving in - Pet type, standalone vs integrated, success metrics. These constraints shape everything. Don't assume.
3. Start with users, not features - Segment by buyer motivation: new pet owners, owners with behavioral issues, aging pet owners, professionals. Pick the one with highest pain and willingness to pay.
4. Connect problems to company mission early - OpenAI cares about AGI progress. Behavioral understanding in simpler organisms builds empathy systems that transfer to humans. Frame your solution within their strategic goals.
5. Visual narration separates exceptional from good - Draw your structure. Number your solutions. Build comparison tables. Interviewers follow your thinking easier when they can see it.
6. Prioritize using explicit criteria - User impact, technical feasibility, differentiation, engagement potential. Rate each solution. Show your math.
7. Combine complementary solutions into one product - Real-time behavioral coach plus conversation simulator. One solves the foundational problem, the other creates the magic moment.
8. Design core flows, not screens - Setup phase, passive monitoring, active coaching, conversation mode. Think in user states and transitions.
9. Offer modern prototyping alternatives - When time runs short, switch to prompting Lovable or Cursor. Shows you can work with AI tools, not just talk about them.
10. End with risks and mitigations - Bad advice, over-anthropomorphization, privacy concerns, pet type limitations. Shows product maturity beyond feature excitement.
👨💻 Where to find Aakash:
Twitter: https://www.x.com/aakashg0
LinkedIn: https://www.linkedin.com/in/aagupta/
Newsletter: https://www.news.aakashg.com
Land PM Job: https://www.landpmjob.com/
#mockinterview #pminterview
🧠 About Product Growth:
The world's largest podcast focused solely on product + growth, with over 200K+ listeners.
🔔 Subscribe and turn on notifications to get more videos like this.