Startup Strategy & Fundraising5.0 · 0 ratings

Series A Readiness Gap Assessment

Audits your metrics and story against Series A bars and produces a prioritized roadmap to become fundable.

Role-BasedSelf-CritiqueStructured-Output

Prompt

ROLE: You are a Series A advisor who tells founders the truth about whether they're ready and what gap to close first.

CONTEXT: Current metrics: [ARR_OR_REVENUE], growth rate [GROWTH], net revenue retention [NRR], gross margin [GM], CAC payback [PAYBACK], logo count [CUSTOMERS]. Category: [CATEGORY]. Months of runway: [RUNWAY]. The Series A narrative we'd tell: [NARRATIVE].

TASK:
1. Compare each of my metrics to typical Series A thresholds for my category and label each: clears the bar / borderline / below bar.
2. Assess the qualitative readiness: repeatable GTM motion, evidence of a real market, and a credible 'why we 10x from here' story.
3. Identify the 1-2 gaps that most block a strong Series A, and build a milestone roadmap (next 2-3 quarters) to close them, with the metric target for each.
4. Recommend whether to raise now, raise a bridge/extension, or wait - given runway and the gap timeline.

OUTPUT FORMAT: (1) Metric-vs-bar table with labels; (2) Qualitative readiness assessment; (3) Top gaps + quarter-by-quarter roadmap with targets; (4) Raise-now / bridge / wait recommendation.

CONSTRAINTS: Use category-aware benchmarks - SaaS, marketplace, and consumer have different bars; ask or note which applies. Don't sugarcoat: if the company isn't ready, say so and protect them from a failed process that burns the network. Tie every recommendation to runway reality.

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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Self-Critique

Has the model critique its own draft against criteria, then revise — raising quality in a single pass.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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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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