# product-sense-interview-answer

> Claude/Codex skill by [@deanpeters](https://omgskills.com/library/deanpeters/index.md) · 7.5k stars · Updated 2026-10-16

Structure a spoken PM product-sense answer with assumptions, segmentation, pain-point prioritization, and MVP tradeoffs. Use when practicing design, improve, or build-next interview questions.

Tags: ai-agents, ai-product-management, claude-skills, pm-frameworks, product-management

## Install

```sh
git clone https://github.com/deanpeters/Product-Manager-Skills /tmp/Product-Manager-Skills && ln -s /tmp/Product-Manager-Skills/skills/product-sense-interview-answer ~/.claude/skills/product-sense-interview-answer
```

## From README

Purpose Help PM candidates and interview coaches structure product-sense answers that sound strong out loud, not just on paper. Use this when practicing prompts like "How would you improve X?", "Design a product for Y", or "What would you build next for Z?" This is not a memorize-and-recite script. It is a reasoning scaffold that prevents solution-jumping, forces real prioritization, and leaves the interviewer with a clean story they can follow. Input Works best with: The interview prompt you're practicing (e.g., 'How would you improve X?', 'Design a product for Y'). Also useful: The company/role you're interviewing for and how much time the answer gets. Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask. Arriving empty-handed? That works too. The skill asks for the prompt, then walks the reasoning scaffold with you out loud.

## Links

- HTML page: https://omgskills.com/skills/deanpeters/product-manager-skills/product-sense-interview-answer/
- GitHub: https://github.com/deanpeters/Product-Manager-Skills
- Author: [@deanpeters](https://omgskills.com/library/deanpeters/index.md)

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