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    Road to Offer

    Road to Offer

    Practice MBB case interviews with a realistic AI anytime, no partner needed.

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    About this product

    Road to Offer is an AI-powered platform for practicing McKinsey, BCG, and Bain case interviews with a realistic AI interviewer, available 24/7 without scheduling.

    What is Road to Offer?

    Road to Offer is an AI case interview simulator that takes verbal or typed answers and produces a scored debrief across seven categories: Structure, Hypothesis, Quantitative, Communication, Business Judgment, Synthesis, and Overall. The platform runs in a browser and is built for candidates targeting MBB and other top consulting firms. It is developed by an independent team with no affiliation to McKinsey, BCG, or Bain.

    Key Features

    • Voice Mode — Run a live MBB-style interview out loud with speech recognition and AI audio responses, simulating the real conversational flow.
    • Guided Mode — Work a full case step by step with hints, then receive a 7-category scored debrief using the RRRN coaching framework.
    • Learning Mode — Break down frameworks, exhibits, and math techniques step by step before attempting a timed case.
    • Procedurally-Generated Drills — Six drill types (math, market sizing, structure, brainstorming, synthesis, graph) for unlimited targeted reps. Try a Case Interview Math Drill without signup.
    • Analytics Dashboard — Tracks skill progression over time, identifying your weak spots by category.
    • Behavioral & PEI Interview Simulation — Practice Personal Experience Interview questions with AI feedback.
    • Coach Chat — Unlimited text-based Q&A with the AI coach for clarifying concepts or getting quick feedback.

    Who is it for?

    • MBB aspirants (McKinsey, BCG, Bain) — Practice full case interviews in Voice Mode to simulate real partner-style interviews.
    • Business school students (e.g., Harvard Business School, Wharton, INSEAD) — Use Guided Mode with scored debriefs to identify structural gaps and improve framework application.
    • Career switchers targeting consulting — Start with Learning Mode to learn frameworks and math techniques before timed practice.
    • Candidates in a time crunch — Use the 90-Day Sprint plan for unlimited access during recruiting season, with no coaching scheduling delays.

    What can you do with Road to Offer?

    • Run timed mock cases end-to-end: Choose any case from a library of 50+ MBB-style prompts, practice in Voice or Guided mode, and get a detailed debrief within seconds.
    • Target weak skill areas: After a scored case, drill the specific skill (e.g., math, chart reading, market sizing) using procedurally-generated exercises linked to your performance gaps.
    • Compare yourself to peers: The platform shows anonymized benchmark data from 2,147+ candidates, letting you gauge where you stand on each scoring category.

    Pricing

    Freemium with paid unlimited plans. Free tier includes one voice case with no credit card required. Paid plans:

    • Starter Bundle — $20 one-time for 5 full case credits and 50 Coach chats.
    • Monthly Unlimited — $49/month for unlimited cases, drills, Coach chat, voice mode, and analytics.
    • 90-Day Sprint — $120 one-time for 90 days of full access (effective $40/month).
    • Annual Unlimited — $249/year, effective $21/month. All paid plans have a 7-day money-back guarantee.

    FAQ

    Is this enough to replace a private case coach?

    Yes, for most candidates. The AI debrief covers the same seven categories a human coach would evaluate, and the platform provides unlimited reps. However, for very advanced candidates needing live role-play or strategic career advice, a coach may still add value.

    Which plan should I choose if interviews are coming soon?

    The 90-Day Sprint at $120 gives you three months of unlimited access — lower commitment than annual, lower monthly cost than Monthly. It’s designed for recruiting season when you need high volume over 8–12 weeks.

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    01_LAUNCH INSIGHTS

    Daily rank
    #4
    Pricing
    Freemium
    Launch date
    Apr 4, 2026
    Status
    Published
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