Road to Offer

AI-Simulated Case Interviews

Provides realistic MBB case practice through Guided and Voice modes, featuring natural interviewer dialogue, contextual pushback, and real-time scoring without scheduling constraints.

Comprehensive Performance Feedback

Delivers detailed scorecards across structure, math, synthesis, and creativity, with debriefs highlighting strengths, growth areas, and targeted redo prompts for improvement.

Extensive MBB Case Library

Includes all core consulting case types like profitability and M&A, with real exhibits, regular updates, and difficulty filters to match preparation stages and ensure relevance.

Targeted Skill Drills

Offers focused exercises for mental math, market sizing, and chart interpretation to address specific weaknesses identified in feedback, enabling isolated and efficient skill development.

• MBB candidates: Practice profitability cases with AI-driven simulations that provide real-time structure and synthesis scoring.
• Prospective consultants: Improve mental math speed and accuracy through targeted quant drills for consulting case interviews.
• Self-learners: Identify specific weaknesses using a 7-category debrief and follow up with specialized skill exercises.
• Time-constrained students: Utilize short, flexible voice mode sessions to simulate realistic consulting interview pacing and pressure.
• Career switchers: Build foundational consulting frameworks using tutorial mode before progressing to guided case simulations.

Why not just use ChatGPT?

ChatGPT provides general conversational AI assistance, but Road to Offer is specifically calibrated for MBB case interviews. It offers structured feedback on consulting-specific frameworks, realistic interviewer pushback, and targeted drills based on actual evaluation criteria used by top firms, which general AI does not provide.

How does the debrief work?

After each case, the platform generates a detailed debrief with a scorecard across seven categories: Structure, Creativity, Synthesis, Presence, Math, Acumen, and Brainstorming. It highlights specific mistakes, provides redo prompts, and recommends targeted drills to address weaknesses.

Can I use this with a coach?

Yes, Road to Offer can complement coaching. Candidates can use the platform for unlimited solo practice and bring specific feedback from session reports to coaching sessions for more focused and efficient guidance on weak areas.

Do you store my data?

Data storage and privacy practices are outlined in the Privacy Policy. The platform uses data to generate personalized feedback and track progression, with options to manage or delete personal information as described in the policy terms.

Who built this?

Road to Offer was developed by a team including former MBB consultants and AI engineering experts. The system is designed with direct input from experienced interviewers to ensure alignment with actual MBB evaluation standards and feedback rubrics.

How is the AI calibrated for MBB interviews specifically?

The AI is trained on thousands of real MBB case interviews and calibrated using official scoring rubrics. It evaluates responses against benchmarks for structure (MECE), quantitative rigor, synthesis quality, and business acumen specific to consulting firm expectations.

What case interview types are available on Road to Offer?

The platform covers all core MBB case archetypes including market entry, profitability, M&A, pricing, and market sizing. Each case includes real exhibits and data, with filters for difficulty level to match your current preparation stage and target firm.

How does the AI evaluate my case structure during practice?

The AI assesses structure using MECE (Mutually Exclusive, Collectively Exhaustive) principles and category-based scoring. During live cases, it provides real-time feedback on framework robustness, identifies logical gaps, and in the debrief, details structural strengths and specific areas for improvement.

• The user logs in or starts a free trial to access Road to Offer's platform, selecting a practice mode like Guided Case, Voice Interview, or Tutorial based on their preparation stage.
• A candidate chooses a specific case type, such as profitability or market entry, and filters by difficulty level to practice with authentic consulting exhibits and data.
• During the simulation, the AI interviewer provides contextual pushback and follow-ups; the user responds via voice or text to replicate real MBB interview pacing and pressure.
• After completing the case, the system generates a detailed scorecard evaluating structure, math, synthesis, and presence, highlighting specific strengths and improvement areas.
• The user reviews the AI's debrief notes to identify weak spots, such as brainstorming or quantitative analysis, and then engages targeted drills for those skills.
• Candidates monitor their overall score and category progression through session reports, consistently practicing to convert identified weaknesses into strengths for the actual interview.