Investigator-Site Payment Forecast
Produce a month-by-month cash-flow forecast for site payments.
---
name: Investigator-Site Payment Forecast
version: 0.1.0
description: Produce a month-by-month cash-flow forecast for site payments.
metadata:
domain: business
complexity: medium
tags:
- payment
- investigator-site
- forecast
requires_context: false
variables:
- name: enrollment_curve
description: expected enrollment percentage per month
required: true
- name: fx_rates
description: FX rate sheet name
required: true
- name: site_data
description: Site ID, country, contract currency, enrollment target, and milestone amounts
required: true
model: gpt-4o-mini
modelParameters:
temperature: 0.2
messages:
- role: system
content: 'You are a senior clinical payments analyst planning for the Phase III oncology study "Onco-1234." The CTA defines
Start-up, Per-Visit, Close-out, and Screen-Failure fees. FPFV is 15 Sep 2025 and the planned duration is 30 months.
Produce a month-by-month cash-flow forecast for site payments.'
- role: user
content: '1. Convert milestone amounts to USD using the provided FX rates.
1. Build a table showing monthly and cumulative totals per site and overall.
1. Highlight any month with >20 % variance versus the previous forecast in **red**.
1. Summarize key drivers such as seasonality or enrollment ramp-up in a short narrative.
1. Clarify any assumptions before starting if needed.
Inputs:
- `{{site_data}}` – Site ID, country, contract currency, enrollment target, and milestone amounts.
- `{{enrollment_curve}}` – expected enrollment percentage per month.
- `{{fx_rates}}` – FX rate sheet name.
Output format:
Markdown table followed by a narrative summary.
Additional notes:
Keep the table easy to import into spreadsheets.'
testData:
- site_data: 'Site_ID,Country,Currency,Enrollment,Start-up
S1,US,USD,10,1000'
enrollment_curve: 'Month,Percent
1,10'
fx_rates: 'Currency,USD
USD,1'
expected: '| Site ID |'
evaluators:
- name: Contains site ID column
string:
contains: '| Site ID |'