Scenarios › Consulting
Management incentive plan (MIP) design · Consulting · Advanced · 250 XP
The PE fund is designing a management incentive plan for the portfolio company's 8-person leadership team. The plan must align management with the investor's return target while retaining key executives for the 4-year hold period. The user must design the MIP: sweet equity structure, hurdle rate and catch-up mechanics, leaver provisions (good/bad leaver), vesting schedule, and the total dilution impact on the fund return at target and stretch exit scenarios.
Write the prompt you would give any AI (ChatGPT, Claude, Gemini, Copilot) to solve this real workplace scenario. Grace evaluates it in seconds across 7 dimensions: Role, Context, Objective, Constraints, Format, Audience, Efficiency: with a 0-100 score and coaching feedback. Your first 5 evaluations each day are free.
The PE fund is designing a management incentive plan for the portfolio company's 8-person leadership team. It is an advanced-level Consulting training scenario: you write the prompt you would give an AI to handle this situation, and Grace scores it from 0 to 100 with coaching feedback.
Assign the AI a precise role, give the key facts of the situation, state a verifiable objective, declare constraints (length, tone, what to avoid), and ask for the exact output format you need. Grace scores each of these elements separately.
All of them. You train the prompt, and a great prompt works with ChatGPT, Claude, Gemini, Copilot, Mistral or any model your company uses: the 7 dimensions are model-independent.
Grace analyzes your prompt across 7 dimensions (Role, Context, Objective, Constraints, Format, Audience and Efficiency) and returns a 0-100 score, a percentile against other players and specific coaching feedback in about 10 seconds.
Yes: it appears in "Private Equity Portfolio", structured paths that take you from first prompt to certification.
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