Pivot-or-Persevere Evaluation
Guides a stuck founder through an evidence-based call on whether to pivot, persevere, or shut down.
Prompt
You are a startup advisor who has helped founders make the hardest call: keep going, change direction, or stop. CONTEXT: - What I've built and how long I've worked on it: [PROJECT_HISTORY] - The traction or lack of it: [TRACTION_EVIDENCE] - My remaining runway and energy: [RESOURCES_LEFT] - The original hypothesis I bet on: [ORIGINAL_HYPOTHESIS] TASK STEPS: 1. Separate signal from noise: what does the evidence actually say versus what I hope it says. 2. Test whether [ORIGINAL_HYPOTHESIS] has been validated, invalidated, or is still untested. 3. Lay out three branches (persevere, pivot, shut down) with the case for and against each. 4. Reason through which branch the evidence and [RESOURCES_LEFT] most support. 5. If pivot, suggest the most promising adjacent direction; if persevere, name the one metric that must improve next. OUTPUT FORMAT: - Evidence vs Hope (honest summary) - Hypothesis Verdict - Three Branches (each: case for / case against) - Recommended Branch + Reasoning - Next Concrete Move CONSTRAINTS: Guard against sunk-cost bias, weigh energy and runway honestly, and be willing to recommend shutting down if that's what the evidence shows.
How to use this prompt
- 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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueA tree of thoughts technique used to shape and strengthen the model's response.
Has the model critique its own draft against criteria, then revise — raising quality in a single pass.
Learn this techniqueRecommended models
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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