Your question is Forecasting With Limited History. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You are asked to forecast next quarter's revenue or expenses, but the historical series is short and noisy. You have to decide how to combine the limited data with judgment or external signals.
How would you build a forecast for revenue or expenses when historical data is limited?