Overview
Mocked (branded on the website as TryMocked) is an AI-driven platform focused on helping candidates prepare for Product Manager interviews through simulated mock interviews, targeted question sets, and structured feedback. The platform generates realistic, role-specific prompts across core PM topics (product design, metrics/analytics, prioritization, execution, behavioral questions), adapts difficulty and interviewer persona, and provides actionable critique on clarity, structure, product sense, and metrics thinking. Users can iterate on answers, review transcripts, and track progress over time to identify weaknesses and reinforce frameworks. The service is positioned as a scalable complement to human coaching and live mock interviews, intended to increase practice volume and improve interview readiness.
Key Features
AI Mock Interview Engine
Generates realistic PM interview questions across product design, strategy, execution, and behavioral domains.
Instant, Structured Feedback
Provides rubric-based critique on clarity, structure, product sense, trade-off reasoning, and metrics.
Custom Scenarios & Interviewer Personas
Allows tailoring practice to role level, company style, and simulated interviewer behaviors.
Progress Tracking & Analytics
Dashboards / session logs to track improvement and identify recurring weaknesses.
Large Question Bank & Templates
Curated question templates for common PM case types and behavioral prompts.
Transcript & Replay
Recordings and transcripts for review and iterative refinement of answers.
Who Can Use This Tool?
- PM Candidates:Practice realistic PM interview questions and get structured feedback to improve performance.
- Early-career PMs:Sharpen product sense, frameworks, and storytelling for next-level interviews.
- Hiring Teams/Companies:(Potential) use for team-based training and consistent interviewer calibration—Not explicitly detailed on site.
Pricing Plans
Pricing information is not available yet.
Pros & Cons
✓ Pros
- ✓Focused on Product Management interviews with domain-specific prompts and feedback.
- ✓AI-driven simulations enable high-volume, on-demand practice.
- ✓Structured, rubric-style feedback on clarity, structure, product sense, and metrics.
- ✓Ability to simulate different interviewer personas and difficulty levels.
✗ Cons
- ✗Pricing details not publicly available on the scraped pricing page (lack of transparency).
- ✗Limited public reviews on mainstream review platforms; adoption signals are early-stage.
- ✗AI feedback can miss nuanced human judgment — site itself recommends complementing with human mock interviews.
