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product-sense-interviews

Score Product Sense PM interview templates using predefined criteria.

2|Updated Feb 9, 2026
Search Tags:#feedback#product management#interview practice#pm interview#product sense
One-click install
npx skills add https://github.com/jasonmeans/pm-skills --skill product-sense-interviews
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: product-sense-interviews
Source: https://github.com/jasonmeans/pm-skills/tree/main/.claude/skills/lenny-podcast/lenny-product-sense-interviews
Command: npx skills add https://github.com/jasonmeans/pm-skills --skill product-sense-interviews

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users practice and receive feedback on Product Sense PM interviews, offering two modes: AI as candidate or coach.

Core Features & Use Cases

  • Practice Mode: Simulate a Product Sense interview with AI as the candidate, allowing users to practice their interview skills.
  • Coaching Mode: Submit a filled-out interview template for scoring, receiving detailed feedback on different aspects of the interview.
  • Two Modes: Users can choose to act as the interviewer, candidate, or coach, depending on their needs.

Quick Start

To practice, type: /product-sense-interviews practice. To submit for coaching, type: /product-sense-interviews submit.

Frequently Asked Questions about product-sense-interviews

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I practice product sense PM interviews and get structured feedback?▼

You can practice product sense PM interviews by simulating a session with AI as the candidate, or submit a filled-out interview template for automated scoring and structured feedback based on predefined criteria.

What is the best way to score a product sense interview template?▼

The best way to score a product sense interview template is to submit it for automated processing, which evaluates your submission against predefined criteria and returns detailed feedback on different aspects of the interview.

Do I need Python to run automated scoring for PM interview practice?▼

Yes, you need Python installed in your environment to run the automated processing and scoring logic for the interview templates.

Can I use this to simulate both interviewer and candidate roles for product management interviews?▼

Yes, you can simulate either role: use practice mode to act as the interviewer while AI acts as the candidate, or use coaching mode to submit your own candidate responses for scoring.

What criteria are used to evaluate product management interview responses?▼

Product management interview responses are evaluated using a structured framework of predefined criteria applied during automated scoring, generating detailed feedback across multiple aspects of your submitted template.

How does the coaching mode work for PM interview preparation?▼

Coaching mode works by having you submit a completed interview template, which Python scripts then process to generate automated scores and detailed feedback based on predefined product management criteria.

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