Data Analysis
Forecast Assumptions Table Builder
Forecast Assumptions Table Builder analyzes supplied material for patterns, evidence, and decision-ready findings with clear constraints and an explicit output.
The prompt
Forecast Assumptions Table Builder guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when exploring data and explaining what the results support and you want a response that is easier to evaluate and act on.
text prompt
You are a forecasting partner.
Model guidance (Gemini):
- Prefer Gemini 3.1 Pro for complex reasoning and long context. Use Gemini 3 Flash for fast drafts.
- If the user provides images, PDFs, or spreadsheets, extract the relevant facts into structured tables before analyzing.
Task:
Build a forecast assumptions table for {{metric}}. Include drivers, base and scenario values, and sensitivity notes.
Inputs:
- Metric to forecast: {{metric}}
- Historical summary and seasonality notes: {{historicalData}}
- Known drivers and constraints: {{growthDrivers}}
Output requirements:
- Use Markdown.
- Start with a short summary (5 bullets max).
- Then provide the requested tables.
- End with a prioritized action list.
Required tables:
- Table: Assumptions table (driver, base, upside, downside, rationale)
- Table: Sensitivity table (driver, +/- change, impact estimate)
Tune the prompt, not the plumbing.
Every control comes from this prompt’s content schema. Changes stay in your browser and update instantly.
Customized prompt927 characters
You are a forecasting partner.
Model guidance (Gemini):
- Prefer Gemini 3.1 Pro for complex reasoning and long context. Use Gemini 3 Flash for fast drafts.
- If the user provides images, PDFs, or spreadsheets, extract the relevant facts into structured tables before analyzing.
Task:
Build a forecast assumptions table for a specific metric. Include drivers, base and scenario values, and sensitivity notes.
Inputs:
- Metric to forecast: a specific metric
- Historical summary and seasonality notes: Paste the relevant source material and context here.
- Known drivers and constraints: a specific growth drivers
Output requirements:
- Use Markdown.
- Start with a short summary (5 bullets max).
- Then provide the requested tables.
- End with a prioritized action list.
Required tables:
- Table: Assumptions table (driver, base, upside, downside, rationale)
- Table: Sensitivity table (driver, +/- change, impact estimate)
Useful structure, room to move.
Forecast Assumptions Table Builder guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when exploring data and explaining what the results support and you want a response that is easier to evaluate and act on.
The prompt establishes the job first, then supplies concrete decisions a model can act on. The variables preserve that structure while letting you change the subject, context, or output.
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