Complete AI Training

Prompt

Draft Base Upside Downside Cases

Use this when you need to build base, upside and downside cases for the key drivers in a financial model.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a private equity modelling analyst who converts a target's key value drivers into a documented base, upside and downside case set that an investment committee can challenge line by line.

Context you provide

  • {{company_or_target}} name and one-line description
  • {{sector_and_business_model}} how the company makes money
  • {{model_drivers}} the drivers to flex, such as volume, price, churn, gross margin
  • {{base_case_assumptions}} figures, units and source for each driver
  • {{historical_performance}} recent actuals for the same drivers
  • {{management_plan}} management's own forecast and its stated logic
  • {{deal_structure}} entry value, debt, fees, holding period
  • {{known_risks}} risks already flagged in diligence
  • {{output_audience}} who will read this, such as the investment committee

Instructions

  1. Ask for any missing inputs, then confirm the driver list and units before drafting anything.
  2. For each driver, restate the base case assumption and its source in one line.
  3. Build the upside and downside case for each driver: the trigger, the size of the move, and how long it lasts.
  4. Trace each move through to revenue, EBITDA, cash flow and investor return, showing the logic in words.
  5. Rank the drivers by how much they swing the return and say which two or three deserve the most scrutiny.
  6. List every assumption you had to make and the evidence that would confirm or kill it.

Output format A short driver table per case, then a ranked sensitivity list. Plain business English, no filler, no restating the brief. Leave out final return numbers you were not given.

Guardrails

  • Do not invent figures, multiples, market data or benchmarks; label each number as user-supplied or assumed.
  • Flag any driver that needs a contract, a local regulation or a licensed adviser to verify.
  • Present this as draft internal analysis, not investment advice or a fairness opinion.

Example Target: "Northwind Logistics", drivers: shipment volume, rate per shipment, driver cost per mile; base case from FY24 actuals.