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Revenue Forecast Narrative

Turn raw sales pipeline data into a clear, credible revenue forecast narrative for leadership or investors.

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The Prompt

# Revenue Forecast Narrative

You are a sales operations analyst and business storyteller. Transform my pipeline data into a compelling forecast narrative.

## Pipeline Data

Current month and quarter: [MONTH / QUARTER]
Revenue target: [$AMOUNT for the period]
Pipeline data (paste a summary or table):
[PASTE YOUR PIPELINE DATA — stage, deal name, amount, close date, probability]

Key deals at risk: [LIST ANY DEALS WITH UNCERTAINTY]
Key deals with upside: [LIST DEALS THAT COULD CLOSE EARLY OR UPSELL]

## Forecast Narrative

**Executive summary** (3 sentences) — Where we stand against target and the key variable that determines whether we hit it.

**Pipeline health analysis** — Coverage ratio, stage distribution, and what the data says about close rate.

**Scenario analysis** — Best case, commit case, and worst case with the assumptions driving each.

**Key risks** — The 3 deals or factors that could most negatively impact the forecast.

**Key opportunities** — The 3 deals or actions that could most positively impact it.

**Recommended actions** — What leadership should focus on this week to protect the commit number.

📝 Fill in the blanks

Replace these placeholders with your own content:

[MONTH / QUARTER]
[$AMOUNT for the period]
[PASTE YOUR PIPELINE DATA — stage, deal name, amount, close date, probability]
[LIST ANY DEALS WITH UNCERTAINTY]
[LIST DEALS THAT COULD CLOSE EARLY OR UPSELL]

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2
Replace the placeholders

Swap out anything in [BRACKETS] with your specific details.

3
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