Problem

PM candidates face challenges preparing for interviews: most resources are static, offer little feedback, and split practice across different skills. This makes it hard to simulate real conditions, track progress, and target weaknesses.

Process

We approached the challenge by mapping the candidate journey, from question practice to performance feedback. Using hackathon constraints, we:

• Analyzed pain points in existing tools (books, guides, mock interviews).

• Framed user needs: realism, structured feedback, and skill coverage.

• Defined MVP scope with core modules: Behavioral, Product Design, Metrics, and Strategy.

• Prototyped a simulator that delivers adaptive questions and live scoring across key PM skills.

Solution

We built a PM Interview Simulator that replicates real interview conditions. The prototype delivers adaptive questions, tracks responses, and provides live scoring across strategic, analytical, communication, leadership, and technical skills. By combining realism with structured feedback, the tool helps candidates practice effectively and pinpoint areas to improve.

Results & Impact

The prototype validated that even a lightweight simulator could make interview prep more interactive and feedback-driven. Key outcomes included:

• Proof of concept: Users quickly understood the flow and value of adaptive prompts + scoring.

• Practical scope: The MVP design showed how core modules could be built without overwhelming complexity.

• Personal learning: Strengthened my ability to apply PM frameworks under time pressure and turn abstract prompts into actionable product ideas.

Further material