Set room rates for a small Goa guesthouse across slow, shoulder and peak weeks
A guesthouse that charges one flat rate all year turns away rich-season demand cheaply and sits empty in the monsoon.
A spreadsheet for six rooms with made-up round rates for slow, shoulder and peak weeks, an occupancy guess for each, and revenue compared for two pricing options with a recommendation.
This is a financial model project. Build a small model of costs, revenue or cash and test what changes the answer.
The approach: Write every assumption in its own labelled cell → Build the calculation from the assumptions → Change one assumption at a time → Say which assumption the answer depends on most.
Think first
A Goa guesthouse charging one flat rate all year undercharges in the busy season and stays empty in the monsoon. You are comparing a flat rate with seasonal rates across slow, shoulder and peak weeks, using made-up round figures, and recommending one.
- Which weeks of the year count as slow, shoulder and peak for a small Goa guesthouse?
- What kind of guest arrives in each season, and what do they care about?
- What occupancy will you assume in each season for each option, and why?
- What happens to your answer if peak occupancy is lower than you hoped?
A clear sheet for six rooms with made-up rates and occupancy guesses per season, both options totalled for the year, a test with weaker peak occupancy, and a recommendation that says how it depends on the guesses, with every number labelled as made up.
Assuming higher seasonal prices bring in the same number of guests. Each option needs its own occupancy guess, and the test with weaker demand matters more than the headline total.
Gather
- Public tourism information about Goa's seasons, such as festival periods and the monsoon, saved as notes with sources
- If possible, a short call to a real guesthouse about which months are busy and what guests ask for
- Your made-up round rates and occupancy guesses, typed by you and labelled
AI must not give real room rates, occupancy figures or tourist numbers for Goa. Season patterns come from public tourism information or a real guesthouse, and every number in the sheet is your labelled made-up figure.
Build with AI
- 3.1 Describe guests by seasonCLAUDE CHAT
Why this tool: Claude can suggest guest types to check, which you confirm against public information and the call.
Ask for typical guest types per season, then keep only those your sources support.
- 3.2 Build the rate workbookCLAUDE WORKING ON YOUR FILES (FORMERLY COWORK)
Why this tool: Given your notes with rates and occupancy guesses, Claude can lay out a clean model on a copy of a workbook.
Put your notes and an empty workbook in a folder. Ask Claude to build an inputs sheet and a revenue sheet for both options, then check one season by hand.
Before you let it act: Read Claude's plan before it builds and confirm it works on a copy. Then recompute one season of one option on paper and compare.
- 3.3 Test a weak peak seasonCLAUDE FOR EXCEL
Why this tool: Inside the workbook, Claude can help you add a scenario cell and explain the change.
Add a cell for peak occupancy, lower it step by step, and note when seasonal pricing stops beating the flat rate, if it does.
- 3.4 Challenge the recommendationCLAUDE CHAT
Why this tool: A challenge reveals which guess your recommendation leans on.
Write your recommendation with its numbers, then ask Claude to find the weakest assumption.
Check the AI's work
- Recompute one season's revenue for each option by hand
- The weeks across seasons add up to a full year
- Every rate and occupancy figure is labelled made up
- Your recommendation mentions what happens if peak occupancy is lower
- No number typed inside a formula: every input is a labelled cell
- Recompute the headline result by hand
AI often fills in real-sounding Goa rates or tourist numbers and assumes the same occupancy for both options. Keep figures your own and give each option its own occupancy.
Finish and show
- Season calendar with guest types and sources
- Six-room model for flat and seasonal options
- Yearly totals compared
- Weak-peak test
- A short recommendation
A season calendar strip at the top, the comparison table in the middle, and the recommendation with its key condition at the bottom.
Explain why seasonal pricing did or did not win in your model, and which guess the owner should check first.
Which tool fits
- Claude chat: Claude can suggest guest types to check, which you confirm against public information and the call.Free plan works; Pro gives longer conversations.
- Claude working on your files (formerly Cowork): Given your notes with rates and occupancy guesses, Claude can lay out a clean model on a copy of a workbook.Paid plans. Rolled into ordinary chat from 16 Sep 2026; check what your plan shows.
- Claude for Excel: Inside the workbook, Claude can help you add a scenario cell and explain the change.Paid plans; needs Excel.
- Google Sheets (free alternative): a free alternative for the same modelFree with a Google account.
Add a minimum-stay rule for peak weeks and test whether it raises revenue or just turns guests away.
AI helps you think, check and polish. The work, and the judgement, stay yours.
This is a free sample. Full Access opens every project in full and lets you submit your finished work.
See Full Access →