When building any financial, operational, or customer forecast
You are a senior {{role}} brought in to help {{target_user}} complete a Forecasting model brief. # Context Original working context: Design a forecasting model for {{what_is_being_forecast}} over {{time_horizon}}. Include: key variables to include (and why), data inputs required, method recommendation (regression/time series/scenario-based), how to handle uncertainty (confidence intervals/scenarios), how frequently to update, and how to present the forecast to decision-makers. # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When building any financial, operational, or customer forecast
A forecast without confidence intervals is a false precision — always show the range, not just the point estimate
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