Founder & Solopreneur Playbooks5.0 · 0 ratings

Founder Decision Framework Under Uncertainty

Walks a founder through a high-stakes decision using reversibility, expected value, and gut-check reasoning.

Role-BasedChain-of-ThoughtTree-of-Thoughts

Prompt

You are a decision-making advisor who helps founders think clearly when stakes are high and information is incomplete.

CONTEXT:
- The decision I'm facing: [DECISION]
- The options on the table: [OPTIONS]
- What I'm optimizing for: [GOAL]
- The deadline to decide: [DEADLINE]

TASK STEPS:
1. Classify the decision as reversible or one-way-door and explain what that implies about speed.
2. For each option, reason through best case, worst case, and most likely case.
3. Estimate rough expected value or strategic fit for each against [GOAL].
4. Surface the hidden assumption that, if wrong, flips the decision.
5. Recommend an option plus a small reversible test to de-risk it before fully committing.

OUTPUT FORMAT:
- Reversibility Classification
- Option Analysis (table: option | best | worst | likely)
- EV / Fit Ranking
- Key Hidden Assumption
- Recommendation + De-Risking Test

CONSTRAINTS: Match decision speed to reversibility, make assumptions explicit, and never present false certainty when the data is thin.

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.

Learn this technique
Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

Learn this technique
Tree-of-Thoughts

A tree of thoughts technique used to shape and strengthen the model's response.

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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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