Valuation Justification And Comps Builder
Builds a defensible valuation case using comparable rounds, traction multiples, and dilution-based reasoning.
Prompt
ROLE: You are a startup valuation advisor who helps founders justify a number without anchoring it to ego. CONTEXT: Stage: [STAGE]. Raising: [AMOUNT]. Traction: [KEY_METRICS - ARR/growth/users]. Sector: [SECTOR]. Geography: [GEO]. The valuation I'm hoping for: [TARGET_VALUATION]. Comparable companies/rounds I know of: [COMPS_IF_ANY]. TASK: 1. Triangulate valuation from three angles: (a) recent comparable rounds at my stage/sector, (b) traction multiples (e.g., ARR multiple or growth-adjusted), and (c) the dilution-driven approach (raise amount / acceptable dilution implies post-money). 2. Reconcile the three into a defensible range and place my target inside or outside it with reasoning. 3. Explain what would justify the top of the range vs the bottom, so I know which proof points raise the number. 4. Provide a 3-sentence script for stating and defending the valuation in a meeting without sounding rigid. OUTPUT FORMAT: (1) Three-angle valuation triangulation with the math; (2) Reconciled range + verdict on my target; (3) Levers that move me up the range; (4) Defense script. CONSTRAINTS: Valuation is set by what an investor will pay and the dilution you can stomach, not by a DCF fantasy - frame it that way. Show the dilution math explicitly. If my target is unrealistic, say so and explain the risk of over-pricing the round (down-round and signaling risk later).
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 techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
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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