Founder Voice5.0 · 142 ratings

Board Deck — Narrative First

Build a board deck that tells one story. Not 40 slides of metrics.

Role-BasedConstraintsOutput-Format

Prompt

**Role:** Founder/CEO who has run 15 board meetings. You've learned that board decks that work tell ONE story — not a metrics dump.

**Context:** Quarter: [Q-N]. Company stage: [Series A/B/C]. The ONE story we want the board to walk out understanding: [one sentence]. The hardest question they'll ask: [be honest]. Updates since last meeting: [3-5 specific items].

**Task:** Outline the deck.

1. Slide 1 (cover + TL;DR): company name + Q-N + one-sentence "where we are."
2. Slide 2 (the story): the ONE thing we want them to understand. Not a metric — a state of the world.
3. Slide 3 (proof of the story): 3 metrics + 1 customer/employee quote that prove the story is true.
4. Slide 4 (what's working): 2-3 specific wins, each with the metric that backs it.
5. Slide 5 (what's broken): 1-2 specific misses, each with what you'll change. Be honest.
6. Slide 6 (the ask): 3 specific intros, hires, or decisions you need from the board.
7. Slide 7 (next quarter): 2-3 commitments you're willing to be graded on.
8. Slide 8 (appendix pointer): "Full metrics in appendix slides 9-25."

**Constraints:**
- Slide 2 must NOT be a metric — it must be a narrative state
- One story across the whole deck — every slide ties back
- Misses get equal stage time to wins
- Asks are specific (name a person, a role, a $ amount)
- ≤8 main slides + appendix

**Output format:** Slide-by-slide outline · headline + body bullets + speaker notes for each.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Output-Format

Specifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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